Integration / MCP
Pull-request context for your AI tools.
Angada’s MCP server exposes pull-request context for clients such as Cursor, Claude Code, or Codex, with a focused set of status and coordination tools.
Set up a token, then choose your client.
The app provides the endpoint and client configuration after you sign in. Keep the token private and scoped to the workspace access you intend to use.
Connect a workspace
Sign in and complete the GitHub connection before opening MCP settings.
Create an access token
Open MCP settings in Angada and create or copy the personal token shown there.
Add the server to your client
Use the endpoint and token in the MCP client configuration for Cursor, Claude Code, Codex, or another compatible client.
Ask for the supported signals
Use the server for PR status, open pull requests, and your personal pull requests.
Use the signals you need.
Connect the tools that help your AI client understand pull-request state and move the next action forward.
Available tools
get_pr_status, list_open_prs, and list_my_prs.
Focused on pull requests
Use the Angada Wiki pages and source citations for repository documentation, while MCP keeps your AI client close to pull-request state.
Workspace access applies
Availability depends on the products and entitlements enabled for the connected workspace.