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Agentset MCP Server

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.

by Agentset · submitted by oktofeesh1·added 2026-06-06·
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Open the source and read safety notes before installing.

Citation facts

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Source URLs
https://docs.agentset.ai/production/mcp-server.md, https://github.com/agentset-ai/mcp-server
Brand
Agentset
Brand domain
agentset.ai
Brand asset source
brandfetch
Safety notes
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.
Privacy notes
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.
Author
Agentset
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.

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

5 prerequisites to line up before setup. Have accounts and credentials ready first.

0/5 ready
Account & credentials3Install & runtime1General110 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 4 privacy notes across 4 risk areas. Review closely: credentials & tokens, third-party handling.

4 areas
  • SafetyCredentials & tokensThe MCP server sends Claude's retrieval queries to the Agentset API using the configured API key and namespace.
  • SafetyGeneralThe `knowledge-base-retrieve` tool can return up to 100 results per call and can rerank results by relevance.
  • SafetyGeneralNamespace and tenant selection control which indexed documents are searchable; review them before connecting a shared agent.
  • SafetyCredentials & tokensAPI keys should be scoped, rotated, and stored only in the MCP server environment or a secret manager.
  • SafetyExecution & processesCustom tool descriptions can influence when the model calls the retrieval tool, so review them before use in production workflows.
  • PrivacyGeneralRetrieved chunks can include private documents, product specs, policies, support content, internal procedures, historical project information, or customer-specific data.
  • PrivacyThird-party handlingRetrieval 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.
  • PrivacyGeneralTenant IDs are useful for data segregation, but incorrect tenant or namespace configuration can expose the wrong knowledge base.
  • PrivacyCredentials & tokensDo not paste API keys, namespace IDs, tenant IDs, or retrieved private chunks into shared issue reports, screenshots, or repository files.

Disclosure: MIT-licensed official MCP package for Agentset. Agentset offers hosted and self-hosted RAG infrastructure; review the service or deployment terms that apply to your environment.

Safety notes

  • 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.

Privacy notes

  • 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.

Prerequisites

  • 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`.
  • Optional tenant ID reviewed before enabling multi-tenant retrieval.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
10 minutes
Difficulty
intermediate
Tool listing metadata
Disclosure
MIT-licensed official MCP package for Agentset. Agentset offers hosted and self-hosted RAG infrastructure; review the service or deployment terms that apply to your environment.
Full copyable content
{
  "mcpServers": {
    "agentset": {
      "command": "npx",
      "args": ["-y", "@agentset/mcp@latest"],
      "env": {
        "AGENTSET_API_KEY": "agentset_xxx",
        "AGENTSET_NAMESPACE_ID": "ns_xxx"
      }
    }
  }
}

About this resource

Content

Agentset MCP Server is the official @agentset/mcp package for connecting Claude to an Agentset knowledge base. It runs as a stdio MCP server and exposes a knowledge-base-retrieve tool that searches a configured namespace, returns matching chunks, and optionally reranks results.

Use it when an Agentset namespace already contains the documents Claude should consult, such as product documentation, support articles, policies, or internal technical knowledge. The server requires an Agentset API key and namespace ID, and it can optionally pass a tenant ID for multi-tenant data segregation.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live MCP docs, NPM package metadata, MCP server source, option parser, Agentset platform README, and search documentation for current package versions and retrieval behavior.

Features

  • Run the official @agentset/mcp package with npx, pnpm dlx, yarn dlx, or bunx.
  • Search an Agentset namespace through the knowledge-base-retrieve MCP tool.
  • Pass namespace ID through --ns or AGENTSET_NAMESPACE_ID.
  • Pass a tenant ID with -t for multi-tenant data segregation.
  • Override the default tool description with -d.
  • Control result count with topK, capped by the server schema.
  • Enable or disable reranking per retrieval call.
  • Use Agentset's hosted API or a self-hosted Agentset deployment depending on your environment.

Installation

Run the MCP package with an Agentset API key and namespace:

AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id

Add the server to Claude or another MCP client:

{
  "mcpServers": {
    "agentset": {
      "command": "npx",
      "args": ["-y", "@agentset/mcp@latest"],
      "env": {
        "AGENTSET_API_KEY": "agentset_xxx",
        "AGENTSET_NAMESPACE_ID": "ns_xxx"
      }
    }
  }
}

For multi-tenant applications, add the documented tenant option only after confirming the namespace and tenant mapping.

Use Cases

  • Let Claude answer questions from an Agentset product documentation namespace.
  • Retrieve relevant support articles with citations before drafting a response.
  • Give an internal assistant access to policies or procedures without exposing unrelated namespaces.
  • Use tenant scoping for customer-specific knowledge bases.
  • Override the tool description so Claude knows when to use Agentset for a specific workflow.

Safety and Privacy

Agentset MCP is a retrieval bridge into a knowledge base, so access boundaries matter. Use least-privilege API keys, connect only the namespace Claude should query, and check tenant IDs carefully in multi-tenant applications. If a shared agent uses the server, document which namespace and tenant scope it can access.

Treat retrieval queries, chunks, citations, namespace IDs, tenant IDs, and API keys as sensitive. Retrieved content can include private documentation, support history, policies, product details, or customer data. Keep keys in environment variables or a secret manager, rotate them when shared configs change, and avoid copying private retrieval output into public issues, screenshots, or commits.

Duplicate Check

No agentset-ai/mcp-server, agentset-ai/agentset, @agentset/mcp, Agentset MCP Server, or matching source URL entry was found in content/mcp or README.md.

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How it compares

Agentset MCP Server 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

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

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

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

Official Pinecone Developer MCP server that connects Claude and other MCP clients to Pinecone projects and documentation for index management, record upserts, semantic search, cascading multi-index search, reranking, and documentation lookup over integrated-inference indexes.

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
SubmitterDiffersoktofeesh1oktofeesh1oktofeesh1JSONbored
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandAgentset logoAgentsetGraphlit MCP Server logoGraphlit MCP ServerPinecone logoPinecone
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorAgentsetGraphlitcyanheadsPinecone
Added2026-06-062026-06-062026-06-062026-06-11
Platforms
Harness
Source repo
Safety notesThe 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.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.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.The server can create indexes and upsert records, so an agent with a write-capable API key can change live Pinecone project state. Run the npm package `@pinecone-database/mcp` through `npx`, which downloads and executes the published package on each launch; pin to a trusted version if reproducibility matters. Scope the Pinecone API key to the intended project and use read-only or least-privilege keys when index creation and writes are not needed. Require human review before `create-index-for-model` and `upsert-records` runs that mutate production indexes.
Privacy notesRetrieved 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.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.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.The `PINECONE_API_KEY` is read from the MCP client environment and grants access to the associated Pinecone project; keep it out of prompts, notes, and committed files. Index names, configurations, namespaces, statistics, record contents, and search queries can be exposed to the MCP client and model provider. Records and search text may contain embedded documents, customer data, or proprietary content, so review what is sent into indexes and returned by searches. Documentation search and tool calls reach Pinecone endpoints such as api.pinecone.io, so network access and request metadata leave the local machine.
Prerequisites
  • 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`.
  • 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.
  • 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 18 or newer with `npx` available.
  • Pinecone account and API key generated from the Pinecone console at app.pinecone.io.
  • MCP client that supports stdio server configuration, such as Claude Desktop or Cursor.
  • Awareness that index management and record tools require integrated-inference indexes.
Install
Run `npx @agentset/mcp --ns <namespace-id>` with `AGENTSET_API_KEY` set in the MCP server environment.
npx -y graphlit-mcp-server
npx -y obsidian-mcp-server@latest
npx -y @pinecone-database/mcp
Config
{
  "mcpServers": {
    "agentset": {
      "command": "npx",
      "args": ["-y", "@agentset/mcp@latest", "--ns", "ns_xxx"],
      "env": {
        "AGENTSET_API_KEY": "agentset_xxx"
      }
    }
  }
}
{
  "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": {
    "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": {
    "pinecone": {
      "command": "npx",
      "args": ["-y", "@pinecone-database/mcp"],
      "env": {
        "PINECONE_API_KEY": "{pinecone-api-key}"
      }
    }
  }
}
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