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PostHog MCP Server for Claude

Connect Claude to PostHog's official MCP server for product analytics, feature flags, experiments, dashboards, error tracking, logs, surveys, data warehouse, and project operations.

by PostHog · submitted by MkDev11·added 2026-06-05·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://posthog.com/docs/model-context-protocol, https://github.com/PostHog/posthog, https://posthog.com/
Brand
PostHog
Brand domain
posthog.com
Brand asset source
brandfetch
Safety notes
The hosted PostHog MCP endpoint is authenticated with a personal API key. Treat that key as a production credential and grant only the read or write scopes needed for the current task., The example configuration uses PostHog's documented `features` query parameter to reduce the exposed tool surface. Feature and tool filtering helps the model choose fewer tools, but API-key scopes remain the real authorization boundary., If no features or tools are specified, PostHog documents that all available tools are exposed. Review the tool list before using an unrestricted endpoint in a production project., Some PostHog MCP tools are mutating or destructive, including tools for creating, updating, archiving, deleting, publishing, enabling, or running product configuration. Keep MCP client approval prompts enabled for those calls., Workflows, alerts, feature flags, experiments, surveys, CDP functions, and data warehouse changes can affect real users, messages, experiments, dashboards, or operational pipelines. Use a development project first., SQL, analytics, error-tracking, log, person, cohort, replay, and data warehouse queries can return large or sensitive result sets. Limit date ranges, filters, and row counts before approving broad queries., Use `https://mcp-eu.posthog.com/mcp` for EU PostHog projects when you need OAuth flows to route to the EU PostHog instance, as documented by PostHog.
Privacy notes
PostHog MCP can return project metadata, event names, event properties, person and group identifiers, cohorts, feature flag rules, experiment results, dashboards, recordings metadata, errors, logs, warehouse query results, prompts, and LLM analytics data into the model conversation., The MCP server acts as a proxy to your PostHog instance. PostHog documents that queries execute against the connected project and results are returned directly to the AI client, with active project or organization session state cached temporarily using an API-key hash., The hosted server runs on Cloudflare infrastructure. Review PostHog's data processing note, your PostHog region, and your own data-processing agreements before sending regulated customer analytics through an AI client., Do not paste personal API keys, project secrets, raw session recordings, customer identifiers, email addresses, support transcripts, payment data, or exported warehouse rows into prompts or PR comments., Claude transcripts, MCP client logs, screenshots, issue comments, and generated runbooks can retain sensitive PostHog query results outside the access controls and retention settings of the original PostHog project.
Author
PostHog
Submitted by
MkDev11
Claim status
unclaimed
Last verified
2026-06-05

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

10 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

6 prerequisites to line up before setup. Have accounts and credentials ready first. Includes a review or approval gate.

0/6 ready
Account & credentials1Install & runtime4Review & approval110 minutes

Safety & privacy surface

Safety & privacy surface

7 safety and 5 privacy notes across 6 risk areas. Review closely: credentials & tokens, permissions & scopes, network access.

6 areas
  • SafetyCredentials & tokensThe hosted PostHog MCP endpoint is authenticated with a personal API key. Treat that key as a production credential and grant only the read or write scopes needed for the current task.
  • SafetyCredentials & tokensThe example configuration uses PostHog's documented `features` query parameter to reduce the exposed tool surface. Feature and tool filtering helps the model choose fewer tools, but API-key scopes remain the real authorization boundary.
  • SafetyNetwork accessIf no features or tools are specified, PostHog documents that all available tools are exposed. Review the tool list before using an unrestricted endpoint in a production project.
  • SafetyExecution & processesSome PostHog MCP tools are mutating or destructive, including tools for creating, updating, archiving, deleting, publishing, enabling, or running product configuration. Keep MCP client approval prompts enabled for those calls.
  • SafetyGeneralWorkflows, alerts, feature flags, experiments, surveys, CDP functions, and data warehouse changes can affect real users, messages, experiments, dashboards, or operational pipelines. Use a development project first.
  • SafetyData retentionSQL, analytics, error-tracking, log, person, cohort, replay, and data warehouse queries can return large or sensitive result sets. Limit date ranges, filters, and row counts before approving broad queries.
  • SafetyCredentials & tokensUse `https://mcp-eu.posthog.com/mcp` for EU PostHog projects when you need OAuth flows to route to the EU PostHog instance, as documented by PostHog.
  • PrivacyData retentionPostHog MCP can return project metadata, event names, event properties, person and group identifiers, cohorts, feature flag rules, experiment results, dashboards, recordings metadata, errors, logs, warehouse query results, prompts, and LLM analytics data into the model conversation.
  • PrivacyCredentials & tokensThe MCP server acts as a proxy to your PostHog instance. PostHog documents that queries execute against the connected project and results are returned directly to the AI client, with active project or organization session state cached temporarily using an API-key hash.
  • PrivacyExecution & processesThe hosted server runs on Cloudflare infrastructure. Review PostHog's data processing note, your PostHog region, and your own data-processing agreements before sending regulated customer analytics through an AI client.
  • PrivacyCredentials & tokensDo not paste personal API keys, project secrets, raw session recordings, customer identifiers, email addresses, support transcripts, payment data, or exported warehouse rows into prompts or PR comments.
  • PrivacyPermissions & scopesClaude transcripts, MCP client logs, screenshots, issue comments, and generated runbooks can retain sensitive PostHog query results outside the access controls and retention settings of the original PostHog project.

Safety notes

  • The hosted PostHog MCP endpoint is authenticated with a personal API key. Treat that key as a production credential and grant only the read or write scopes needed for the current task.
  • The example configuration uses PostHog's documented `features` query parameter to reduce the exposed tool surface. Feature and tool filtering helps the model choose fewer tools, but API-key scopes remain the real authorization boundary.
  • If no features or tools are specified, PostHog documents that all available tools are exposed. Review the tool list before using an unrestricted endpoint in a production project.
  • Some PostHog MCP tools are mutating or destructive, including tools for creating, updating, archiving, deleting, publishing, enabling, or running product configuration. Keep MCP client approval prompts enabled for those calls.
  • Workflows, alerts, feature flags, experiments, surveys, CDP functions, and data warehouse changes can affect real users, messages, experiments, dashboards, or operational pipelines. Use a development project first.
  • SQL, analytics, error-tracking, log, person, cohort, replay, and data warehouse queries can return large or sensitive result sets. Limit date ranges, filters, and row counts before approving broad queries.
  • Use `https://mcp-eu.posthog.com/mcp` for EU PostHog projects when you need OAuth flows to route to the EU PostHog instance, as documented by PostHog.

Privacy notes

  • PostHog MCP can return project metadata, event names, event properties, person and group identifiers, cohorts, feature flag rules, experiment results, dashboards, recordings metadata, errors, logs, warehouse query results, prompts, and LLM analytics data into the model conversation.
  • The MCP server acts as a proxy to your PostHog instance. PostHog documents that queries execute against the connected project and results are returned directly to the AI client, with active project or organization session state cached temporarily using an API-key hash.
  • The hosted server runs on Cloudflare infrastructure. Review PostHog's data processing note, your PostHog region, and your own data-processing agreements before sending regulated customer analytics through an AI client.
  • Do not paste personal API keys, project secrets, raw session recordings, customer identifiers, email addresses, support transcripts, payment data, or exported warehouse rows into prompts or PR comments.
  • Claude transcripts, MCP client logs, screenshots, issue comments, and generated runbooks can retain sensitive PostHog query results outside the access controls and retention settings of the original PostHog project.

Prerequisites

  • PostHog Cloud or self-hosted PostHog project that you are allowed to connect to an MCP client.
  • Personal PostHog API key created with the MCP Server preset or an equivalent least-privilege scope set.
  • Node.js and `npx` available to the MCP client for the PostHog wizard or `mcp-remote`.
  • MCP-capable client such as Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, or another Streamable HTTP-compatible client.
  • Decision on whether to use the US endpoint, the EU endpoint, or a self-hosted/local MCP server.
  • Approval rules for who may let an assistant create or change feature flags, experiments, dashboards, workflows, alerts, cohorts, surveys, or data warehouse objects.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
10 minutes
Difficulty
intermediate
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "posthog": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://mcp.posthog.com/mcp?features=docs,insights,error_tracking,events,data_schema",
        "--header",
        "Authorization:${POSTHOG_AUTH_HEADER}"
      ],
      "env": {
        "POSTHOG_AUTH_HEADER": "Bearer phx_your_personal_api_key"
      }
    }
  }
}

About this resource

Content

PostHog MCP Server is PostHog's official Model Context Protocol server for connecting Claude and other MCP-capable clients to a PostHog project. It is documented as a hosted endpoint at https://mcp.posthog.com/mcp, with an EU endpoint at https://mcp-eu.posthog.com/mcp, and the server source lives in the PostHog monorepo under services/mcp.

The server is useful when a product, growth, support, or engineering workflow needs current PostHog context inside the assistant: recent trends, dashboard state, feature flag configuration, experiment results, error groups, event schemas, logs, LLM analytics, surveys, and project configuration. Because the same MCP surface can also create or change PostHog resources, start with a small feature set and a scoped personal API key.

Features

  • Official PostHog documentation page for MCP setup, available tools, filtering, data processing, self-hosted use, and examples.
  • Hosted Streamable HTTP endpoint at https://mcp.posthog.com/mcp.
  • EU endpoint at https://mcp-eu.posthog.com/mcp.
  • Public server source in PostHog/posthog under services/mcp.
  • Quick install through the official PostHog wizard.
  • Manual MCP configuration through mcp-remote and an Authorization header.
  • Feature filtering with the features query parameter.
  • Exact tool allowlisting with the tools query parameter.
  • tools mode for one MCP tool per PostHog tool and cli mode for a single CLI-like wrapper tool.
  • Consumer attribution through query parameters or headers for plugin and proxy installers.
  • Local development and self-hosting path with POSTHOG_BASE_URL.

Tool Surface

PostHog documents feature groups for workspace and project management, actions, activity logs, alerts, annotations, cohorts, dashboards, data schema, data warehouse, docs search, early access features, error tracking, events, experiments, feature flags, CDP functions, insights, LLM analytics, prompts, logs, notebooks, persons, reverse proxy records, search, SQL, surveys, and workflows.

Many tools are read-only, but not all. The source schema marks some tools with write scopes and destructive hints, including deletion, workflow execution, workflow scheduling, feature management, and product-configuration changes.

Installation

Quick Install

Use the official PostHog wizard to install the MCP server into supported clients:

npx @posthog/wizard@latest mcp add

The wizard can install into Cursor, Claude, Claude Code, VS Code, and Zed.

Manual MCP Config

Create a personal API key using PostHog's MCP Server preset, then configure a compatible client with mcp-remote:

{
  "mcpServers": {
    "posthog": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://mcp.posthog.com/mcp?features=docs,insights,error_tracking,events,data_schema",
        "--header",
        "Authorization:${POSTHOG_AUTH_HEADER}"
      ],
      "env": {
        "POSTHOG_AUTH_HEADER": "Bearer phx_your_personal_api_key"
      }
    }
  }
}

The example above narrows the starting feature set. To expose a different surface, change the features list or use PostHog's exact tools allowlist:

https://mcp.posthog.com/mcp?tools=dashboard-get,feature-flag-get-all,execute-sql

For EU PostHog projects, use:

https://mcp-eu.posthog.com/mcp

Use Cases

  • Ask Claude to summarize signup, activation, retention, or funnel movement from current PostHog insights.
  • Review recent errors and affected user counts while triaging a regression.
  • Inspect active feature flags before planning a rollout or cleanup.
  • Draft a dashboard or insight plan after searching existing dashboards and event schemas.
  • Compare experiment status and conversion metrics before writing a release update.
  • Query logs, LLM analytics, or prompt performance while debugging an AI product workflow.
  • Search PostHog docs from the same MCP client when implementing analytics, flags, replay, or warehouse changes.
  • Use a local or self-hosted MCP server with POSTHOG_BASE_URL for self-hosted PostHog instances.

Safety Checklist

  • Create a dedicated personal API key for MCP use.
  • Grant only the required PostHog scopes and rotate the key after temporary work.
  • Start with feature or tool filtering instead of exposing every PostHog tool.
  • Confirm the active PostHog project and region before approving queries.
  • Keep approval prompts enabled for writes, deletes, workflow runs, alerts, surveys, experiments, and feature flag changes.
  • Use short date ranges and row limits for SQL, logs, warehouse, person, and event queries.
  • Avoid unrestricted production access while testing a new client setup.
  • Replace placeholder keys in config files and never commit real POSTHOG_AUTH_HEADER values.

Source Links

Source citations

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How it compares

PostHog MCP Server for Claude side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

1 trust signal differ across this comparison (Submitter).

Field

Connect Claude to PostHog's official MCP server for product analytics, feature flags, experiments, dashboards, error tracking, logs, surveys, data warehouse, and project operations.

Open dossier

Manage A/B tests and feature flags in GrowthBook from Claude — list and create experiments, toggle rollouts, review test results, and interact with your GrowthBook workspace — with the official GrowthBook MCP server.

Open dossier

Query Mixpanel analytics data from Claude — run insights, funnels, flows, retention analysis, manage dashboards, explore events and properties, run experiments, and analyze session replays — with the official Mixpanel remote MCP server.

Open dossier

Create and manage Unleash feature flags from Claude — evaluate whether a change needs a flag, detect existing flags to prevent duplicates, set rollout strategies, toggle environments, and get cleanup guidance — with the official Unleash MCP server following Unleash best practices.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
SubmitterDiffersMkDev11
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandPostHog logoPostHog
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorPostHogGrowthBookMixpanelUnleash
Added2026-06-052026-06-182026-06-182026-06-18
Platforms
Harness
Source repo
Safety notesThe hosted PostHog MCP endpoint is authenticated with a personal API key. Treat that key as a production credential and grant only the read or write scopes needed for the current task. The example configuration uses PostHog's documented `features` query parameter to reduce the exposed tool surface. Feature and tool filtering helps the model choose fewer tools, but API-key scopes remain the real authorization boundary. If no features or tools are specified, PostHog documents that all available tools are exposed. Review the tool list before using an unrestricted endpoint in a production project. Some PostHog MCP tools are mutating or destructive, including tools for creating, updating, archiving, deleting, publishing, enabling, or running product configuration. Keep MCP client approval prompts enabled for those calls. Workflows, alerts, feature flags, experiments, surveys, CDP functions, and data warehouse changes can affect real users, messages, experiments, dashboards, or operational pipelines. Use a development project first. SQL, analytics, error-tracking, log, person, cohort, replay, and data warehouse queries can return large or sensitive result sets. Limit date ranges, filters, and row counts before approving broad queries. Use `https://mcp-eu.posthog.com/mcp` for EU PostHog projects when you need OAuth flows to route to the EU PostHog instance, as documented by PostHog.`create_experiment` and `create_feature` write to your GrowthBook workspace — capabilities are scoped by your API key/PAT permissions. Creating experiments or feature flags may immediately affect production if they are in a live environment — review before confirming.The server is hosted by Mixpanel and authenticated via OAuth — your existing Mixpanel project permissions are automatically applied. The MCP server grants read and write access to your Mixpanel project; it can create and modify dashboards, reports, and feature flags. Treat Service Account credentials as secrets; do not commit them to repositories.`toggle_flag_environment` enables or disables a feature flag in a production environment — confirm before toggling live flags. `create_flag` writes to your Unleash instance; capabilities are scoped by your PAT's permissions. Remote MCP (`--transport http`) is experimental and must be enabled on your Unleash instance.
Privacy notesPostHog MCP can return project metadata, event names, event properties, person and group identifiers, cohorts, feature flag rules, experiment results, dashboards, recordings metadata, errors, logs, warehouse query results, prompts, and LLM analytics data into the model conversation. The MCP server acts as a proxy to your PostHog instance. PostHog documents that queries execute against the connected project and results are returned directly to the AI client, with active project or organization session state cached temporarily using an API-key hash. The hosted server runs on Cloudflare infrastructure. Review PostHog's data processing note, your PostHog region, and your own data-processing agreements before sending regulated customer analytics through an AI client. Do not paste personal API keys, project secrets, raw session recordings, customer identifiers, email addresses, support transcripts, payment data, or exported warehouse rows into prompts or PR comments. Claude transcripts, MCP client logs, screenshots, issue comments, and generated runbooks can retain sensitive PostHog query results outside the access controls and retention settings of the original PostHog project.Experiment configurations, feature flag definitions, targeting rules, and experiment results from your GrowthBook workspace are surfaced in Claude's context. Your `GB_API_KEY` is a secret — store it as an environment variable, not in version-controlled config files.Queries and analytics results (event data, user properties, funnel metrics) are sent through Mixpanel's hosted MCP infrastructure. Session replay summaries and user segment data may surface in Claude's context — treat these as sensitive product analytics.Feature flag names, descriptions, targeting rules, rollout configurations, and project metadata from your Unleash instance are surfaced in Claude's context. Your `UNLEASH_PAT` is a secret — store it as an environment variable and do not commit it to version control.
Prerequisites
  • PostHog Cloud or self-hosted PostHog project that you are allowed to connect to an MCP client.
  • Personal PostHog API key created with the MCP Server preset or an equivalent least-privilege scope set.
  • Node.js and `npx` available to the MCP client for the PostHog wizard or `mcp-remote`.
  • MCP-capable client such as Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, or another Streamable HTTP-compatible client.
  • A GrowthBook account (cloud at growthbook.io or self-hosted).
  • A GrowthBook API key (from API Keys settings or a Personal Access Token with appropriate permissions).
  • Your GrowthBook account email (used when creating experiments and feature flags).
  • Node.js with `npx` available.
  • A Mixpanel account — authenticate via OAuth when prompted on first tool use.
  • EU customers should use `https://mcp-eu.mixpanel.com/mcp`; India customers `https://mcp-in.mixpanel.com/mcp`.
  • Service Account credentials (Beta) are available for headless/CI use.
  • An MCP client such as Claude Code or Claude Desktop.
  • An Unleash instance (hosted at unleash.cloud or self-hosted).
  • A personal access token with permission to create feature flags (Settings → API Access → Personal access tokens).
  • Node.js 22+ with `npx` available.
  • An MCP client such as Claude Code or Claude Desktop.
Install
npx @posthog/wizard@latest mcp add
claude mcp add growthbook -e GB_API_KEY=your-api-key -e GB_EMAIL=you@example.com -- npx @growthbook/growthbook-mcp
claude mcp add --transport http mixpanel https://mcp.mixpanel.com/mcp
claude mcp add unleash -e UNLEASH_BASE_URL=https://your-instance.unleash.cloud -e UNLEASH_PAT=your-pat -- npx -y @unleash/mcp@latest --log-level error
Config
{
  "mcpServers": {
    "posthog": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://mcp.posthog.com/mcp?features=docs,insights,error_tracking,events,data_schema",
        "--header",
        "Authorization:${POSTHOG_AUTH_HEADER}"
      ],
      "env": {
        "POSTHOG_AUTH_HEADER": "Bearer phx_your_personal_api_key"
      }
    }
  }
}
{
  "mcpServers": {
    "growthbook": {
      "command": "npx",
      "args": ["@growthbook/growthbook-mcp"],
      "env": {
        "GB_API_KEY": "your-api-key",
        "GB_EMAIL": "you@example.com",
        "GB_API_URL": "https://api.growthbook.io",
        "GB_APP_ORIGIN": "https://app.growthbook.io"
      }
    }
  }
}
{
  "mcpServers": {
    "mixpanel": {
      "command": "npx",
      "args": ["mcp-remote", "https://mcp.mixpanel.com/mcp"]
    }
  }
}
{
  "mcpServers": {
    "unleash": {
      "command": "npx",
      "args": ["-y", "@unleash/mcp@latest", "--log-level", "error"],
      "env": {
        "UNLEASH_BASE_URL": "https://your-instance.unleash.cloud",
        "UNLEASH_PAT": "your-personal-access-token"
      }
    }
  }
}
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