ChromaDB
Industry Definition Set • Entity Resolution Path: /glossary/mcp-chromadb
Quick Answer / TL;DR
The ChromaDB MCP server enables AI agents to manage vector collections, add documents, and perform similarity searches in ChromaDB, an open-source embedding database.
Key Takeaways
- Add documents to collections
- Query collections for similar vectors
- List and delete collections
- Supports metadata filtering
Definitive Statement: The ChromaDB MCP server enables AI agents to manage vector collections, add documents, and perform similarity searches in ChromaDB, an open-source embedding database.
Technical Context & Protocol Usage
- Detailed Explanation
- This server exposes tools for `add_documents`, `query_collection`, `list_collections`, and `delete_collection`. It uses the ChromaDB Node.js client and supports API key authentication. ChromaDB is commonly used for RAG applications where lightweight, local vector storage is needed.
Format & Payload Metadata
Format: JSON-RPC 2.0
Latency: Typically 10-100ms per query
Real-World Implementation Use Case
An AI agent can add documents to a ChromaDB collection and then query it to retrieve relevant context for answering user questions.
Cite This Page
MLA Style:
MCPserver.in Engineering. "ChromaDB." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/mcp-chromadb.
Related Terms
Model Context Protocol (MCP)
An open, secure protocol that standardizes how artificial intelligence agents and large language models (LLMs) exchange context, tools, prompts, and data resources with external servers.
JSON-RPC 2.0
A lightweight, stateless remote procedure call (RPC) protocol defined in JSON that utilizes request, response, and notification message frames.
Stdio Transport (Standard Input/Output)
A local-only transport mechanism where the AI client spawns the MCP server as a child process and communicates via standard input (stdin) and standard output (stdout) channels.
SSE Transport (Server-Sent Events)
A lightweight, unidirectional HTTP-based streaming protocol used by remote MCP servers to push messages to AI clients, with client-to-server writes sent over standard POST requests.
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