artefact-mcp-fastmcp / setup / langgraph
Setup guide

Set up artefact-mcp-fastmcp in LangGraph

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Methodology-driven MCP server for revenue intelligence: RFM analysis, 14.5-point ICP scoring, pipeline health scoring, and HubSpot integration


01Configuration
# artefact-mcp-fastmcp via LangGraph # transport: unknown # launch: uvx artefact-mcp-fastmcp

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


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

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:41Z
sourcesPyPI [p4]

Next step

Ship artefact-mcp-fastmcp 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 artefact-mcp-fastmcp MCP in LangGraph — MCPExplorer