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Database · Knowledge Management

chroma-core/chroma-mcp
The Model Context Protocol (MCP) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require.
uvx chroma-mcp{
"mcpServers": {
"server": {
"command": "uvx",
"args": [
"chroma-mcp"
]
}
}
}CHROMA_CLIENT_TYPECHROMA_DATA_DIRCHROMA_TENANTCHROMA_DATABASECHROMA_API_KEYCHROMA_HOSTCHROMA_PORTCHROMA_CUSTOM_AUTH_CREDENTIALSCHROMA_SSLCHROMA_DOTENV_PATHThis server provides data retrieval capabilities powered by Chroma, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, metadata filtering, and more.
Flexible Client Types
Collection Management
Document Operations
chroma_list_collections - List all collections with pagination support
chroma_create_collection
Create a new collection with optional HNSW configuration
chroma_peek_collection
View a sample of documents in a collection
chroma_get_collection_info
Get detailed information about a collection
chroma_get_collection_count
Get the number of documents in a collection
chroma_modify_collection
Update a collection's name or metadata
chroma_delete_collection
Delete a collection
chroma_add_documents
Add documents with optional metadata and custom IDs
chroma_query_documents
Query documents using semantic search with advanced filtering
chroma_get_documents
Retrieve documents by IDs or filters with pagination
chroma_update_documents
Update existing documents' content, metadata, or embeddings
chroma_delete_documents
Delete specific documents from a collection
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

supabase-community/supabase-mcp
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.

googleapis/genai-toolbox
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects your AI agents, IDEs, and applications directly to your enterprise databases.

alexander-zuev/supabase-mcp-server
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls.

MobinX/awesome-mcp-list
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.

stuzero/pg-mcp-server
PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases. It provides a comprehensive API for AI agents to discover, connect to, query, and understand PostgreSQL databases through MCP's resource-oriented architecture.

bytebase/dbhub
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.