Set up linkedin-mcp in LangGraph

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A comprehensive Model Context Protocol (MCP) server for LinkedIn API - manage profiles, posts, connections, skills, education, certifications, and more through AI agents

01Configuration

# linkedin-mcp via LangGraph
# transport: unknown
# launch: the server's install method

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 linkedin-mcp’s tools appear.

03Other runtimes

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04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-30 01:02Z

sourcesGitHub repo search [p4]

Next step

Ship linkedin-mcp 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