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.
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.
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.
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.
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.
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.
Show that Chroma MCP Server is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.
[](https://heyclau.de/entry/mcp/chroma-mcp-server)
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).
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.
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.
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.
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.
✓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.
✓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 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.
✓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