Setup guide

Set up aimemory-mcp-server in CrewAI

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AI Memory MCP Server — persistent memory for AI assistants via Model Context Protocol. Cross-platform search across ChatGPT, Claude, DeepSeek, Gemini & Kimi.

01Configuration

# aimemory-mcp-server via CrewAI
# transport: unknown
# launch: uvx aimemory-mcp-server

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

02Steps

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

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue Goose VS Code OpenAI Agents SDK LangGraph

04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-30 00:56Z

sourcesPyPI [p4]

Next step

Ship aimemory-mcp-server 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