ai-mcp-server / setup / langgraph
Setup guide
Set up ai-mcp-server in LangGraph
communityunknownunknownno verified config · noindex
本地 MCP 橋樑：把多個 API key + endpoint 收編為統一的模型能力池，給 Agent 透過 MCP 調用
01Configuration
# ai-mcp-server via LangGraph
# transport: unknown
# launch: uvx ai-mcp-server
LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.
02Steps
- Make sure LangGraph is installed and up to date.
- Wire the server into LangGraph using its MCP client API.
- Provide any required API keys/credentials as environment variables.
- Restart LangGraph and confirm ai-mcp-server’s tools appear.
03Other runtimes
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-30 07:39Z
sourcesPyPI [p4]
Next step
Ship ai-mcp-server to your agents as a governed Loadout — config, scopes, and approval rules in one place.
Build a LoadoutSee also: server page · is it safe? · alternatives