Setup guide

Set up agent-analytics-mcp-server in CrewAI

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Usage analytics and monitoring for AI agent tool calls — track, analyze and optimize agent behavior


01Configuration
# agent-analytics-mcp-server via CrewAI # transport: unknown # launch: uvx agent-analytics-mcp-server

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 agent-analytics-mcp-server’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:29Z
sourcesPyPI [p4]

Next step

Ship agent-analytics-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