When should I use ChromaDB Vector MCP server over Memory Graph?

Use ChromaDB Vector when you need semantic search and vector operations on chromadb collections. For Memory Graph, it is best suited for persistent knowledge-graph memory system for cross-session entity relationships.

How many tools do ChromaDB Vector and Memory Graph provide?

ChromaDB Vector provides 4 tools (query_collection, add_documents, list_collections...), while Memory Graph provides 6 tools (create_entities, create_relations, add_observations...).

Do both servers work with Claude Desktop and Cursor?

Yes, both ChromaDB Vector and Memory Graph MCP servers support standard stdio transport and can be configured in Claude Desktop, Cursor, Codex CLI, and Windsurf.

Head-to-Head Comparison

ChromaDB Vector vs Memory Graph MCP Server

Compare features, tool counts, installation requirements, and configuration formats to choose the right integration for your AI agent.

Server A

Server B

ChromaDB Vector

Community

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Semantic search and vector operations on ChromaDB collections.

$ uvx mcp-server-chroma

Tools: 4

Env Vars Required: 2

Memory Graph

Official

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Persistent knowledge-graph memory system for cross-session entity relationships.

$ npx -y @modelcontextprotocol/server-memory

Tools: 6

Env Vars Required: 0

Feature Matrix

Package / Binary	mcp-server-chroma	@modelcontextprotocol/server-memory
Category	databases	ai core
Transports	stdio	stdio
Total Tools	4 tools	6 tools
Tools List	query_collectionadd_documentslist_collectionscreate_collection	create_entitiescreate_relationsadd_observationssearch_nodesopen_nodesdelete_entities
Environment Variables	CHROMA_HOST, CHROMA_PORT	None required

ChromaDB Vector vs Memory Graph MCP Server

ChromaDB Vector

Memory Graph

Feature Matrix

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