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arcanna-mcp-server / setup / crewai
Setup guide

Set up arcanna-mcp-server in CrewAI

communityunknownunknownno verified config · noindex

The Arcanna MCP server allows user to interact with Arcanna's AI use cases through the Model Context Protocol (MCP).

01Configuration
# arcanna-mcp-server via CrewAI # transport: unknown # launch: pip install arcanna-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 arcanna-mcp-server’s tools appear.
03Other runtimes
Claude DesktopCursorWindsurfClineContinueGooseVS CodeOpenAI Agents SDKLangGraph
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-30 00:56Z
sourcesPyPI [p4]
Next step

Ship arcanna-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