azure-devops-mcp-server / setup / langgraph
Setup guide

Set up azure-devops-mcp-server in LangGraph

communityunknownunknownno verified config · noindex

MCP server exposing 41 Azure DevOps tools to AI assistants — pipelines, repos, PRs, boards, releases, tests, wikis


01Configuration
# azure-devops-mcp-server via LangGraph # transport: unknown # launch: pip install azure-devops-mcp-server

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 azure-devops-mcp-server’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:56Z
sourcesPyPI [p4]

Next step

Ship azure-devops-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

Set up azure-devops-mcp-server MCP in LangGraph — MCPExplorer