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Chroma MCP Server

Official Chroma MCP server for connecting Claude to Chroma collections, documents, semantic search, full-text search, metadata filtering, persistent storage, self-hosted Chroma, and Chroma Cloud.

by Chroma · 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://docs.trychroma.com/integrations/frameworks/anthropic-mcp, https://github.com/chroma-core/chroma-mcp, https://www.trychroma.com
Brand
Chroma
Brand domain
trychroma.com
Brand asset source
brandfetch
Safety notes
Chroma MCP can create, modify, and delete collections., Document tools can add, update, query, retrieve, and delete documents, metadata, custom IDs, and embeddings., Persistent, HTTP, and cloud modes can mutate durable retrieval stores rather than temporary test collections., External embedding functions can send document text or image-derived content to third-party embedding providers., Chroma Cloud and self-hosted HTTP modes require careful handling of tenants, databases, API keys, custom auth credentials, SSL settings, and network exposure., Retrieved context can influence Claude output even when stale, irrelevant, over-broad, or not authorized for the task.
Privacy notes
Collections can store source documents, chunks, embeddings, metadata, IDs, filters, and query results that reveal private project, customer, or research data., Query text, retrieved documents, metadata filters, and embedding inputs may expose sensitive information to Chroma Cloud, self-hosted operators, embedding providers, logs, or downstream model providers., CHROMA_API_KEY, custom auth credentials, embedding provider API keys, tenant IDs, database names, hostnames, and dotenv files should stay out of prompts, issues, logs, screenshots, and committed files., Persistent data directories and exported collections need the same access control, backup, encryption, and retention review as the source documents they index.
Author
Chroma
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.

15 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 & credentials2Install & runtime1General215 minutes

Safety & privacy surface

Safety & privacy surface

6 safety and 4 privacy notes across 6 risk areas. Review closely: credentials & tokens, permissions & scopes, network access, third-party handling.

6 areas
  • SafetyGeneralChroma MCP can create, modify, and delete collections.
  • SafetyGeneralDocument tools can add, update, query, retrieve, and delete documents, metadata, custom IDs, and embeddings.
  • SafetyNetwork accessPersistent, HTTP, and cloud modes can mutate durable retrieval stores rather than temporary test collections.
  • SafetyThird-party handlingExternal embedding functions can send document text or image-derived content to third-party embedding providers.
  • SafetyCredentials & tokensChroma Cloud and self-hosted HTTP modes require careful handling of tenants, databases, API keys, custom auth credentials, SSL settings, and network exposure.
  • SafetyPermissions & scopesRetrieved context can influence Claude output even when stale, irrelevant, over-broad, or not authorized for the task.
  • PrivacyData retentionCollections can store source documents, chunks, embeddings, metadata, IDs, filters, and query results that reveal private project, customer, or research data.
  • PrivacyThird-party handlingQuery text, retrieved documents, metadata filters, and embedding inputs may expose sensitive information to Chroma Cloud, self-hosted operators, embedding providers, logs, or downstream model providers.
  • PrivacyCredentials & tokensCHROMA_API_KEY, custom auth credentials, embedding provider API keys, tenant IDs, database names, hostnames, and dotenv files should stay out of prompts, issues, logs, screenshots, and committed files.
  • PrivacyPermissions & scopesPersistent data directories and exported collections need the same access control, backup, encryption, and retention review as the source documents they index.

Safety notes

  • Chroma MCP can create, modify, and delete collections.
  • Document tools can add, update, query, retrieve, and delete documents, metadata, custom IDs, and embeddings.
  • Persistent, HTTP, and cloud modes can mutate durable retrieval stores rather than temporary test collections.
  • External embedding functions can send document text or image-derived content to third-party embedding providers.
  • Chroma Cloud and self-hosted HTTP modes require careful handling of tenants, databases, API keys, custom auth credentials, SSL settings, and network exposure.
  • Retrieved context can influence Claude output even when stale, irrelevant, over-broad, or not authorized for the task.

Privacy notes

  • Collections can store source documents, chunks, embeddings, metadata, IDs, filters, and query results that reveal private project, customer, or research data.
  • Query text, retrieved documents, metadata filters, and embedding inputs may expose sensitive information to Chroma Cloud, self-hosted operators, embedding providers, logs, or downstream model providers.
  • CHROMA_API_KEY, custom auth credentials, embedding provider API keys, tenant IDs, database names, hostnames, and dotenv files should stay out of prompts, issues, logs, screenshots, and committed files.
  • Persistent data directories and exported collections need the same access control, backup, encryption, and retention review as the source documents they index.

Prerequisites

  • Python 3.10 or newer available through uv for local stdio usage.
  • [object Object]
  • Storage, backup, and retention plan for persistent collections before enabling write tools.
  • Chroma Cloud tenant, database, and API key or self-hosted Chroma host credentials if using remote modes.
  • Embedding provider API keys if using Cohere, OpenAI, Jina, Voyage AI, or Roboflow embedding functions.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
15 minutes
Difficulty
advanced
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "chroma": {
      "command": "uvx",
      "args": ["chroma-mcp"]
    }
  }
}

About this resource

Content

Chroma MCP Server is the official Chroma Model Context Protocol server for self-hosting Claude access to Chroma data retrieval workflows. It connects MCP clients to Chroma collections and documents through ephemeral, persistent, HTTP, or Chroma Cloud client modes.

The server supports collection management, document ingestion, semantic search, full-text search, metadata filtering, document retrieval, document updates, and document deletion. It can also use several embedding functions, including default, Cohere, OpenAI, Jina, Voyage AI, and Roboflow.

Source Review

These sources were reviewed on 2026-06-06. Prefer the Chroma docs, repository README, PyPI metadata, package metadata, server implementation, and license for current setup commands, supported tools, client modes, embedding providers, and authentication behavior.

Features

  • Official MCP server from chroma-core/chroma-mcp.
  • Local stdio launch with uvx chroma-mcp.
  • Ephemeral in-memory mode for testing and development.
  • Persistent mode for file-backed Chroma storage.
  • HTTP mode for self-hosted Chroma instances.
  • Cloud mode for Chroma Cloud via api.trychroma.com.
  • Collection listing, creation, metadata updates, count retrieval, peeking, and deletion.
  • Document add, query, get, update, and delete tools.
  • Semantic search, full-text search, metadata filtering, and pagination.
  • Optional HNSW configuration when creating collections.
  • Embedding functions for default, Cohere, OpenAI, Jina, Voyage AI, and Roboflow providers.
  • Environment variable and dotenv-file configuration for client modes, credentials, and embedding keys.

Installation

For an ephemeral local client:

{
  "mcpServers": {
    "chroma": {
      "command": "uvx",
      "args": ["chroma-mcp"]
    }
  }
}

For durable or remote use, follow the README's persistent, HTTP, and cloud configuration examples. Prefer environment variables or a reviewed dotenv file for credentials instead of putting API keys directly into shared MCP config.

Use Cases

  • Let Claude search a Chroma collection before answering a project question.
  • Create temporary collections for experiments or evaluation runs.
  • Add curated documents to a persistent Chroma retrieval store.
  • Query documents with metadata and document-content filters.
  • Inspect collection counts and sample documents while debugging ingestion.
  • Use Chroma Cloud or a self-hosted Chroma instance as a shared retrieval backend.
  • Compare retrieval results before feeding context into a coding, support, or research workflow.
  • Delete stale collections only after verifying the target database and collection name.

Safety and Privacy

Chroma MCP is a retrieval database control surface, not just a read-only search helper. It can add, update, and delete indexed content, and remote modes can touch shared production or team databases. Require explicit approval for collection creation, document writes, document updates, document deletion, and collection deletion.

Treat retrieved context as untrusted input until it is checked for relevance, freshness, permissions, and prompt-injection risk. Keep API keys and custom auth credentials out of prompts and version control, and review whether embedding providers or Chroma Cloud are approved for the documents being indexed.

Disclosure

Chroma includes an Apache-2.0 open-source project and hosted Chroma Cloud offerings. This listing is not sponsored, paid, or affiliate-driven, and it is scoped to the source-backed MCP server.

Duplicate Check

Existing content includes a general Chroma tools entry in content/tools, but no Chroma MCP Server entry was found in content/mcp. This submission is scoped to chroma-core/chroma-mcp, the official MCP server, and does not change the existing Chroma database listing.

Source citations

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How it compares

Chroma 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 Chroma MCP server for connecting Claude to Chroma collections, documents, semantic search, full-text search, metadata filtering, persistent storage, self-hosted Chroma, and Chroma Cloud.

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

MCP server from Zilliz for connecting Claude to Milvus vector database collections, text search, vector search, hybrid search, inserts, deletes, indexes, collection loading, database switching, and collection metadata.

Open dossier

Connect Claude to a Weaviate vector database — run hybrid search, inspect collection config, list tenants, and upsert objects — using Weaviate's built-in Model Context Protocol server.

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
SubmitterDiffersoktofeesh1JSONboredoktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandChroma logoChromaPinecone logoPineconeMilvus logoMilvus
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorChromaPineconeZillizWeaviate
Added2026-06-062026-06-112026-06-062026-06-17
Platforms
Harness
Source repo
Safety notesChroma MCP can create, modify, and delete collections. Document tools can add, update, query, retrieve, and delete documents, metadata, custom IDs, and embeddings. Persistent, HTTP, and cloud modes can mutate durable retrieval stores rather than temporary test collections. External embedding functions can send document text or image-derived content to third-party embedding providers. Chroma Cloud and self-hosted HTTP modes require careful handling of tenants, databases, API keys, custom auth credentials, SSL settings, and network exposure. Retrieved context can influence Claude output even when stale, irrelevant, over-broad, or not authorized for the task.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.Milvus MCP can read collection metadata, query collections, and run text, vector, text-similarity, multi-vector, and hybrid searches. Write-capable tools can create collections, insert data, upsert data, delete entities, create indexes, bulk insert records, load collections, release collections, and switch databases. The README notes that the environment file has higher priority than command-line arguments, so stale or unexpected environment settings can silently change the target Milvus instance. SSE and Streamable HTTP modes can expose database operations over HTTP and should be network-restricted. Remote Milvus or Zilliz Cloud credentials should be scoped to the collections and databases Claude is allowed to access.The MCP server runs inside your Weaviate instance and respects its existing RBAC; scope the API key to least privilege. The object-upsert tool writes data — restrict write access to the collections Claude should modify.
Privacy notesCollections can store source documents, chunks, embeddings, metadata, IDs, filters, and query results that reveal private project, customer, or research data. Query text, retrieved documents, metadata filters, and embedding inputs may expose sensitive information to Chroma Cloud, self-hosted operators, embedding providers, logs, or downstream model providers. CHROMA_API_KEY, custom auth credentials, embedding provider API keys, tenant IDs, database names, hostnames, and dotenv files should stay out of prompts, issues, logs, screenshots, and committed files. Persistent data directories and exported collections need the same access control, backup, encryption, and retention review as the source documents they index.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.Milvus collections can contain embeddings, sparse vectors, scalar fields, IDs, document chunks, metadata, image or multimodal references, query logs, and retrieval results that reveal sensitive project or user data. Milvus URI, tokens, database names, collection names, vector payloads, filter expressions, and retrieved records should stay out of prompts, issues, logs, screenshots, and committed files. Search results can include private source content that may be re-exposed in model transcripts or downstream tickets. HTTP transports, debug tools, query traces, failed-search artifacts, backups, and benchmark datasets need retention and access-control review.Query text, retrieved objects, and collection metadata enter the MCP client context and the model's prompt. The Weaviate endpoint URL and API key are secrets — keep them in the client config or environment, not in shared repositories.
Prerequisites
  • Python 3.10 or newer available through uv for local stdio usage.
  • [object Object]
  • Storage, backup, and retention plan for persistent collections before enabling write tools.
  • Chroma Cloud tenant, database, and API key or self-hosted Chroma host credentials if using remote modes.
  • 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.
  • Python 3.10 or newer.
  • uv installed for the README's recommended run path.
  • Running local or remote Milvus instance.
  • Milvus URI, token, and database name selected for the target environment.
  • A Weaviate instance on v1.37.1 or later (self-hosted or Weaviate Cloud).
  • The MCP server enabled on that instance via MCP_SERVER_ENABLED=true.
  • A Weaviate API key with the RBAC permissions for the collections Claude should reach.
  • An MCP client such as Claude Code or Claude Desktop.
Install
uvx chroma-mcp
npx -y @pinecone-database/mcp
git clone https://github.com/zilliztech/mcp-server-milvus.git && cd mcp-server-milvus && uv run src/mcp_server_milvus/server.py --milvus-uri <milvus-uri>
claude mcp add --transport http weaviate https://<your-weaviate-host>/v1/mcp
Config
{
  "mcpServers": {
    "chroma": {
      "command": "uvx",
      "args": ["chroma-mcp"]
    }
  }
}
{
  "mcpServers": {
    "pinecone": {
      "command": "npx",
      "args": ["-y", "@pinecone-database/mcp"],
      "env": {
        "PINECONE_API_KEY": "{pinecone-api-key}"
      }
    }
  }
}
{
  "mcpServers": {
    "milvus": {
      "command": "uv",
      "args": [
        "--directory",
        "mcp-server-milvus",
        "run",
        "src/mcp_server_milvus/server.py",
        "--milvus-uri",
        "<milvus-uri>"
      ]
    }
  }
}
{
  "mcpServers": {
    "weaviate": {
      "url": "https://<your-weaviate-host>/v1/mcp",
      "type": "http"
    }
  }
}
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