mcp-memory-libsql / setup / crewai
Setup guide

Set up mcp-memory-libsql in CrewAI

communityunknownunknownno verified config · noindex

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.


01Configuration
# mcp-memory-libsql via CrewAI # transport: unknown # launch: the server's install method

CrewAI connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.


02Steps
  1. Make sure CrewAI is installed and up to date.
  2. Wire the server into CrewAI using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart CrewAI and confirm mcp-memory-libsql’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-30 01:17Z
sourcesGitHub repo search [p4]

Next step

Ship mcp-memory-libsql to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives

Set up mcp-memory-libsql MCP in CrewAI — MCPExplorer