Chroma MCP Server

by privetin

Overview Schema Source Related Servers Discussions Admin

Python

Local

Related Servers

Alternatives to Chroma MCP Server

No user-submitted related servers found.

Related Servers

Chroma MCP Server
Vector Databases RAG Systems
zwczwczwc
A
license
A
quality
D
maintenance
A Model Context Protocol server for Chroma, enabling AI models to create collections and retrieve data using vector search, full text search, and metadata filtering.
Updated 3 months ago (2026-06-22 00:22 UTC)
13
Apache 2.0
Memory Context MCP Server
Knowledge & Memory Vector Databases
amoghsamadhiya779-afk
A
license
Not graded
quality
D
maintenance
A Model Context Protocol (MCP) server that gives LLMs persistent, semantic memory using vector search with ChromaDB.
Updated 3 months ago (2026-06-18 07:59 UTC)
MIT
PDF Knowledgebase MCP Server
RAG Systems Vector Databases Knowledge & Memory
juanqui
A
license
Not graded
quality
D
maintenance
A Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.
Updated a year ago (2025-09-15 01:41 UTC)
13
MIT
py.chroma.mcp
Vector Databases RAG Systems
maithanhduyan
A
license
Not graded
quality
D
maintenance
A simple Model Context Protocol (MCP) server with ChromaDB integration, allowing AI assistants to interact with ChromaDB for vector storage and retrieval operations.
Updated a year ago (2025-06-19 01:58 UTC)
1
GPL 3.0
Chroma MCP Server
Knowledge & Memory Vector Databases RAG Systems
djm81
A
license
Not graded
quality
D
maintenance
A Model Context Protocol server integration that creates a persistent, searchable working memory for AI-assisted development by enabling automated context recall and knowledge persistence in Chroma, the open-source embedding database.
Updated a year ago (2025-05-29 23:00 UTC)
65 PyPI
24
MIT
Better Qdrant MCP Server
Vector Databases RAG Systems Search
wrediam
A
license
B
quality
D
maintenance
A Model Context Protocol server that enables semantic search capabilities by providing tools to manage Qdrant vector database collections, process and embed documents using various embedding services, and perform semantic searches across vector embeddings.
Updated 4 months ago (2026-06-01 19:29 UTC)
4
46 npm
4
MIT

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.5/5.0

Scored 2026-04-18 11:35 across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: create, delete, list, read, search, and update documents. The actions and targets are well-defined, making it easy for an agent to select the correct tool without confusion.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., create_document, delete_document) using snake_case throughout. The naming is predictable and readable, with no deviations in style or convention.

Tool Count5/5

With 6 tools, this server is well-scoped for managing documents in a vector database. Each tool earns its place by covering essential CRUD operations and semantic search, avoiding bloat or thinness for the domain.

Completeness5/5

The toolset provides complete CRUD/lifecycle coverage for documents (create, read, update, delete, list) and includes a semantic search function. There are no obvious gaps, enabling agents to handle all core workflows without dead ends.