Question 1

What is Chroma MCP Server?

Accepted Answer

Chroma MCP Server is an implementation of the Model Context Protocol (MCP) that provides database capabilities for Chroma, an open-source embedding database. It allows AI models to access and interact with external data sources and tools.

Question 2

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is an open protocol designed for seamless integration between LLM applications and external data sources or tools, offering a standardized framework to provide LLMs with the context they require.

Question 3

What are the key features of Chroma MCP Server?

Accepted Answer

Key features include flexible client types (ephemeral, persistent, HTTP, cloud), collection management, document operations, support for various tools (`chroma_list_collections`, etc.), and embedding function support (e.g., `cohere`, `openai`).

Question 4

What client types does Chroma MCP Server support?

Accepted Answer

It supports Ephemeral (in-memory), Persistent (file-based), HTTP (for self-hosted Chroma instances), and Cloud clients (for Chroma Cloud integration).

Question 5

How do I add documents to a collection in Chroma MCP Server?

Accepted Answer

You can use the `chroma_add_documents` tool to add documents with optional metadata and custom IDs.

Question 6

How can I query documents using Chroma MCP Server?

Accepted Answer

You can use the `chroma_query_documents` tool to query documents using semantic search with advanced filtering.

Question 7

What embedding functions are supported by Chroma MCP Server?

Accepted Answer

Chroma MCP supports several embedding functions: `default`, `cohere`, `openai`, `jina`, `voyageai`, and `roboflow`.

Question 8

How do I configure Chroma MCP Server to use an API key for an embedding function?

Accepted Answer

Set the environment variable `CHROMA__API_KEY=""`. For example, for Cohere, set `CHROMA_COHERE_API_KEY=""`.

Question 9

How do I integrate Chroma MCP Server with Claude Desktop?

Accepted Answer

Add a Chroma section to your `claude_desktop_config.json` file with the appropriate command and arguments for your client type (e.g., ephemeral, persistent, cloud, or HTTP).

Question 10

Can I use environment variables to configure the Chroma MCP Server client?

Accepted Answer

Yes, you can use environment variables. The server automatically loads variables from a `.env` file specified by `--dotenv-path` or from system environment variables.

Question 11

Where can I find demos of how to use Chroma MCP Server?

Accepted Answer

Reference usages, such as shared knowledge bases and adding memory to context windows, can be found in the [Chroma MCP Docs](https://docs.trychroma.com/integrations/frameworks/anthropic-mcp#using-chroma-with-claude).

Question 12

What is UBOS and how does it relate to Chroma MCP Server?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that simplifies the process of building, deploying, and managing AI agents. Hosting your Chroma MCP Server on UBOS provides advantages such as simplified orchestration, seamless integration, and enterprise-grade security.

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