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Graphlit MCP Server

MCP server for the Graphlit platform, enabling Claude to ingest, search, retrieve, organize, and operate on files, web pages, feeds, collections, conversations, memory, connectors, crawls, and RAG-ready project knowledge.

by Graphlit · submitted by oktofeesh1·added 2026-06-06·
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://raw.githubusercontent.com/graphlit/graphlit-mcp-server/main/README.md, https://github.com/graphlit/graphlit-mcp-server
Brand
Graphlit MCP Server
Brand domain
graphlit.com
Brand asset source
brandfetch
Safety notes
Graphlit MCP Server can ingest files, web pages, messages, posts, emails, issues, text, memory, feeds, crawls, and connected SaaS data into a Graphlit project., Tools can create or delete contents, feeds, collections, conversations, specifications, and workflows, and can configure project defaults when explicitly requested., Web crawling, web search, screenshots, podcast search, feed scheduling, publishing, and connector operations may contact third-party services and process external content., Generated audio and image publishing can call configured model/provider services and consume credits or quota., Require confirmation before ingesting private repositories, emails, drive files, Slack/Teams/Discord data, customer documents, large crawls, generated media, deletion operations, or project configuration changes.
Privacy notes
Graphlit environment IDs, organization IDs, JWT secrets, project IDs, resource IDs, connector tokens, URLs, files, emails, messages, issues, transcripts, screenshots, memories, conversations, usage records, and retrieved sources can be exposed to the MCP client., Ingested documents may be extracted to Markdown; audio and video may be transcribed; images and pages may be described or screenshot., Connected services such as Slack, Discord, Google Drive, Microsoft 365, GitHub, Jira, Linear, Notion, Dropbox, Box, Reddit, and Twitter/X can expose private workspace content., Usage records can include request, response, variables, token counts, bytes, units, and credit charges for project operations., Keep Graphlit secrets in local MCP client configuration only, and review retention, deletion, and connector policies before ingesting regulated or customer data.
Author
Graphlit
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

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.

20 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

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

0/5 ready
Account & credentials2Install & runtime1Configuration1Review & approval120 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 5 privacy notes across 5 risk areas. Review closely: credentials & tokens, network access, third-party handling.

5 areas
  • SafetyLocal filesGraphlit MCP Server can ingest files, web pages, messages, posts, emails, issues, text, memory, feeds, crawls, and connected SaaS data into a Graphlit project.
  • SafetyNetwork accessTools can create or delete contents, feeds, collections, conversations, specifications, and workflows, and can configure project defaults when explicitly requested.
  • SafetyThird-party handlingWeb crawling, web search, screenshots, podcast search, feed scheduling, publishing, and connector operations may contact third-party services and process external content.
  • SafetyThird-party handlingGenerated audio and image publishing can call configured model/provider services and consume credits or quota.
  • SafetyLocal filesRequire confirmation before ingesting private repositories, emails, drive files, Slack/Teams/Discord data, customer documents, large crawls, generated media, deletion operations, or project configuration changes.
  • PrivacyCredentials & tokensGraphlit environment IDs, organization IDs, JWT secrets, project IDs, resource IDs, connector tokens, URLs, files, emails, messages, issues, transcripts, screenshots, memories, conversations, usage records, and retrieved sources can be exposed to the MCP client.
  • PrivacyGeneralIngested documents may be extracted to Markdown; audio and video may be transcribed; images and pages may be described or screenshot.
  • PrivacyGeneralConnected services such as Slack, Discord, Google Drive, Microsoft 365, GitHub, Jira, Linear, Notion, Dropbox, Box, Reddit, and Twitter/X can expose private workspace content.
  • PrivacyCredentials & tokensUsage records can include request, response, variables, token counts, bytes, units, and credit charges for project operations.
  • PrivacyCredentials & tokensKeep Graphlit secrets in local MCP client configuration only, and review retention, deletion, and connector policies before ingesting regulated or customer data.

Disclosure: Official MIT MCP server for the Graphlit platform. The server is open source, but use requires a Graphlit account and may consume Graphlit credits, LLM tokens, connector quota, or third-party provider usage.

Safety notes

  • Graphlit MCP Server can ingest files, web pages, messages, posts, emails, issues, text, memory, feeds, crawls, and connected SaaS data into a Graphlit project.
  • Tools can create or delete contents, feeds, collections, conversations, specifications, and workflows, and can configure project defaults when explicitly requested.
  • Web crawling, web search, screenshots, podcast search, feed scheduling, publishing, and connector operations may contact third-party services and process external content.
  • Generated audio and image publishing can call configured model/provider services and consume credits or quota.
  • Require confirmation before ingesting private repositories, emails, drive files, Slack/Teams/Discord data, customer documents, large crawls, generated media, deletion operations, or project configuration changes.

Privacy notes

  • Graphlit environment IDs, organization IDs, JWT secrets, project IDs, resource IDs, connector tokens, URLs, files, emails, messages, issues, transcripts, screenshots, memories, conversations, usage records, and retrieved sources can be exposed to the MCP client.
  • Ingested documents may be extracted to Markdown; audio and video may be transcribed; images and pages may be described or screenshot.
  • Connected services such as Slack, Discord, Google Drive, Microsoft 365, GitHub, Jira, Linear, Notion, Dropbox, Box, Reddit, and Twitter/X can expose private workspace content.
  • Usage records can include request, response, variables, token counts, bytes, units, and credit charges for project operations.
  • Keep Graphlit secrets in local MCP client configuration only, and review retention, deletion, and connector policies before ingesting regulated or customer data.

Prerequisites

  • Active Graphlit platform account and project access.
  • Graphlit organization ID, environment ID, and JWT secret from the Graphlit API settings dashboard.
  • Node.js 18 or newer for the npm stdio server.
  • Review of which files, URLs, feeds, SaaS connectors, memories, conversations, collections, and web crawls Claude may create or query.
  • Understanding of Graphlit usage credits, LLM token usage, connector permissions, and any third-party service costs configured for the project.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
20 minutes
Difficulty
intermediate
Tool listing metadata
Disclosure
Official MIT MCP server for the Graphlit platform. The server is open source, but use requires a Graphlit account and may consume Graphlit credits, LLM tokens, connector quota, or third-party provider usage.
Full copyable content
{
  "mcpServers": {
    "graphlit": {
      "command": "npx",
      "args": ["-y", "graphlit-mcp-server"],
      "env": {
        "GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
        "GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
        "GRAPHLIT_JWT_SECRET": "your-jwt-secret"
      }
    }
  }
}

About this resource

Content

Graphlit MCP Server connects Claude and other MCP clients to the Graphlit platform. It can ingest and retrieve project knowledge across files, web pages, feeds, collections, conversations, memories, crawls, SaaS connectors, and RAG-ready search workflows.

Use it when Claude needs supervised access to a Graphlit project for cross-source knowledge ingestion, retrieval, web crawling, memory, connector, and content workflow operations.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, README, npm metadata, license, package metadata, server entrypoint, tool registry, resource registry, Smithery metadata, and Glama metadata for current setup and behavior details.

Features

  • Query contents, collections, feeds, conversations, relevant sources, similar images, and project usage records.
  • Ingest files, web pages, messages, posts, emails, issues, text, and short-term memory into a Graphlit project.
  • Work with connectors for services such as Slack, Discord, GitHub, Jira, Linear, Notion, Google Drive, Microsoft 365, Dropbox, Box, Reddit, and Twitter/X.
  • Run web crawling, web search, web mapping, podcast search, and page screenshot tools.
  • Configure project defaults, workflows, specifications, collections, feeds, conversations, and RAG behavior.
  • Publish generated audio or images through configured Graphlit services.
  • Enumerate connector-specific resources such as Slack channels, Teams channels, SharePoint libraries, Linear projects, Notion pages, Dropbox folders, Box folders, Discord channels, and calendars.

Installation

Create a Graphlit project, collect the API settings values, and configure the stdio server in your MCP client:

{
  "mcpServers": {
    "graphlit": {
      "command": "npx",
      "args": ["-y", "graphlit-mcp-server"],
      "env": {
        "GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
        "GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
        "GRAPHLIT_JWT_SECRET": "your-jwt-secret"
      }
    }
  }
}

Keep the Graphlit environment, organization, and JWT secret values in local MCP client configuration rather than shared project files.

Use Cases

  • Ingest a repository, project folder, document set, or website into Graphlit.
  • Query a cross-tool knowledge base from Claude.
  • Search project content, retrieve sources, and summarize relevant evidence.
  • Create short-term memory during research and promote final notes to long-term knowledge.
  • Crawl approved documentation sites and map relevant pages.
  • Query usage records before running larger ingestion or generation jobs.

Safety and Privacy

Graphlit MCP Server operates on a cloud-backed knowledge platform with connectors, crawling, ingestion, retrieval, generated media, and deletion tools. Require explicit user approval before ingesting private data, connecting SaaS workspaces, running large crawls, changing project defaults, publishing media, or deleting resources.

Treat Graphlit secrets, connector tokens, project resource IDs, retrieved sources, ingested documents, transcripts, screenshots, usage records, memories, and conversation history as sensitive. Confirm retention and deletion behavior before sending customer, regulated, or proprietary content into a Graphlit project.

Source citations

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How it compares

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

Field

MCP server for the Graphlit platform, enabling Claude to ingest, search, retrieve, organize, and operate on files, web pages, feeds, collections, conversations, memory, connectors, crawls, and RAG-ready project knowledge.

Open dossier

Official Agentset MCP server that lets Claude retrieve cited knowledge-base results from an Agentset namespace through the `knowledge-base-retrieve` tool, with optional tenant scoping and custom tool descriptions.

Open dossier

Apache-licensed TypeScript MCP server for Obsidian vaults with stdio and Streamable HTTP transports, Local REST API access, note search, section-aware edits, tag/frontmatter management, path policies, and read-only controls.

Open dossier

MCP server that unifies web search, AI answer, GitHub search, and web extraction providers including Tavily, Brave, Kagi, Exa, Linkup, Firecrawl, and GitHub behind four consolidated tools.

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
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandGraphlit MCP Server logoGraphlit MCP ServerAgentset logoAgentset
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorGraphlitAgentsetcyanheadsScott Spence
Added2026-06-062026-06-062026-06-062026-06-06
Platforms
Harness
Source repo
Safety notesGraphlit MCP Server can ingest files, web pages, messages, posts, emails, issues, text, memory, feeds, crawls, and connected SaaS data into a Graphlit project. Tools can create or delete contents, feeds, collections, conversations, specifications, and workflows, and can configure project defaults when explicitly requested. Web crawling, web search, screenshots, podcast search, feed scheduling, publishing, and connector operations may contact third-party services and process external content. Generated audio and image publishing can call configured model/provider services and consume credits or quota. Require confirmation before ingesting private repositories, emails, drive files, Slack/Teams/Discord data, customer documents, large crawls, generated media, deletion operations, or project configuration changes.The MCP server sends Claude's retrieval queries to the Agentset API using the configured API key and namespace. The `knowledge-base-retrieve` tool can return up to 100 results per call and can rerank results by relevance. Namespace and tenant selection control which indexed documents are searchable; review them before connecting a shared agent. API keys should be scoped, rotated, and stored only in the MCP server environment or a secret manager. Custom tool descriptions can influence when the model calls the retrieval tool, so review them before use in production workflows.Cyanheads Obsidian MCP can read, list, search, create, append, patch, replace, delete, tag, and edit frontmatter in the configured vault through the Local REST API plugin. The server defaults to full-vault access unless read paths, write paths, or read-only mode are configured. Set `OBSIDIAN_READ_ONLY=true` for research-only workflows, then narrow writes with `OBSIDIAN_WRITE_PATHS` before allowing note edits. Delete operations are permanent in the vault and should require human review even when the MCP host supports destructive-tool prompts. Command-palette tools are disabled unless `OBSIDIAN_ENABLE_COMMANDS=true`; command execution can trigger opaque or destructive Obsidian plugin behavior. Streamable HTTP deployments should use JWT or OAuth auth before being exposed beyond a trusted local machine.Omnisearch MCP Server can query multiple third-party search, AI answer, GitHub search, extraction, scraping, crawling, summarization, and content-processing providers. Firecrawl crawl, scrape, map, extract, and action modes can interact with websites and may trigger robots.txt, TOS, rate-limit, or authentication concerns. GitHub search depends on the configured token scope and can reveal private code, repositories, users, or organization metadata when a broad token is used. Large result mode can write response content to files; review where those files are stored before using it with private or regulated data. Require confirmation before crawling sites, extracting private URLs, using authenticated providers on sensitive targets, or running broad GitHub searches against private organizations.
Privacy notesGraphlit environment IDs, organization IDs, JWT secrets, project IDs, resource IDs, connector tokens, URLs, files, emails, messages, issues, transcripts, screenshots, memories, conversations, usage records, and retrieved sources can be exposed to the MCP client. Ingested documents may be extracted to Markdown; audio and video may be transcribed; images and pages may be described or screenshot. Connected services such as Slack, Discord, Google Drive, Microsoft 365, GitHub, Jira, Linear, Notion, Dropbox, Box, Reddit, and Twitter/X can expose private workspace content. Usage records can include request, response, variables, token counts, bytes, units, and credit charges for project operations. Keep Graphlit secrets in local MCP client configuration only, and review retention, deletion, and connector policies before ingesting regulated or customer data.Retrieved chunks can include private documents, product specs, policies, support content, internal procedures, historical project information, or customer-specific data. Retrieval queries, namespace IDs, tenant IDs, document chunks, citations, and tool outputs may be visible to the MCP client, model provider, Agentset logs, and application telemetry. Tenant IDs are useful for data segregation, but incorrect tenant or namespace configuration can expose the wrong knowledge base. Do not paste API keys, namespace IDs, tenant IDs, or retrieved private chunks into shared issue reports, screenshots, or repository files.Vault notes, headings, block references, frontmatter, tags, file metadata, outgoing links, search queries, command names, plugin status, and edit history may be exposed to the MCP client and model provider. API keys, local plugin endpoints, HTTP auth settings, path allowlists, logs, OpenTelemetry traces, and Docker environment variables can reveal private vault structure or credentials. Tag listing is vault-wide in upstream behavior and can reveal tag names outside narrowed read paths. Notes may contain personal journals, client work, credentials, meeting notes, research plans, health data, or other sensitive knowledge-base content.Provider API keys, GitHub tokens, search queries, URLs, extracted page content, crawled site maps, scraped text, summaries, AI answers, GitHub search results, and large-result files can be exposed to the MCP client. Search and extraction providers may log queries, URLs, source content, account identifiers, usage metadata, and generated responses according to their own policies. Web extraction can capture personal data, paywalled content, internal URLs, or proprietary documents if supplied by the user or available to an authenticated provider. GitHub search output may include repository names, code snippets, file paths, commit metadata, and organization details. Keep provider credentials in local MCP configuration only, and avoid sharing transcripts that contain private queries, URLs, source text, or tokens.
Prerequisites
  • Active Graphlit platform account and project access.
  • Graphlit organization ID, environment ID, and JWT secret from the Graphlit API settings dashboard.
  • Node.js 18 or newer for the npm stdio server.
  • Review of which files, URLs, feeds, SaaS connectors, memories, conversations, collections, and web crawls Claude may create or query.
  • Agentset account or self-hosted Agentset deployment with a populated namespace.
  • Agentset API key with access to the namespace Claude should query.
  • Node.js 18.17 or newer for running the `@agentset/mcp` package.
  • Namespace ID selected with `--ns` or `AGENTSET_NAMESPACE_ID`.
  • Node.js 24 or newer, or Bun 1.3.11 or newer.
  • Obsidian vault with the Obsidian Local REST API community plugin enabled.
  • Local REST API key stored in the MCP client environment.
  • Stdio MCP client, or reviewed Streamable HTTP deployment with authentication.
  • Node.js 22 or newer for the published npm package.
  • At least one provider API key for Tavily, Kagi, Brave Search, GitHub, Exa, Linkup, or Firecrawl.
  • Optional `FIRECRAWL_BASE_URL` when using a self-hosted Firecrawl instance.
  • Optional `OMNISEARCH_LARGE_RESULT_MODE` choice for file or inline handling of large results.
Install
npx -y graphlit-mcp-server
Run `npx @agentset/mcp --ns <namespace-id>` with `AGENTSET_API_KEY` set in the MCP server environment.
npx -y obsidian-mcp-server@latest
npx mcp-omnisearch
Config
{
  "mcpServers": {
    "graphlit": {
      "command": "npx",
      "args": [
        "-y",
        "graphlit-mcp-server"
      ],
      "env": {
        "GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
        "GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
        "GRAPHLIT_JWT_SECRET": "your-jwt-secret"
      },
      "type": "stdio"
    }
  }
}
{
  "mcpServers": {
    "agentset": {
      "command": "npx",
      "args": ["-y", "@agentset/mcp@latest", "--ns", "ns_xxx"],
      "env": {
        "AGENTSET_API_KEY": "agentset_xxx"
      }
    }
  }
}
{
  "mcpServers": {
    "cyanheads-obsidian": {
      "command": "npx",
      "args": ["-y", "obsidian-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "OBSIDIAN_API_KEY": "{obsidian-local-rest-api-key}",
        "OBSIDIAN_READ_ONLY": "true"
      }
    }
  }
}
{
  "mcpServers": {
    "omnisearch": {
      "command": "npx",
      "args": [
        "mcp-omnisearch"
      ],
      "env": {
        "TAVILY_API_KEY": "your-tavily-key",
        "KAGI_API_KEY": "your-kagi-key",
        "BRAVE_API_KEY": "your-brave-key",
        "GITHUB_API_KEY": "your-github-token",
        "EXA_API_KEY": "your-exa-key",
        "LINKUP_API_KEY": "your-linkup-key",
        "FIRECRAWL_API_KEY": "your-firecrawl-key"
      },
      "type": "stdio"
    }
  }
}
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