Schema | pr-reviewer-mcp

pr-reviewer-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`GITHUB_TOKEN`	Yes	Fine-grained PAT with Pull requests (read/write) and Contents (read) permissions
`GOOGLE_API_KEY`	Yes	API key from Google AI Studio

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
list_open_prsA	List open pull requests for a GitHub repo, so you can decide which to review.
get_pr_diffA	Fetch the raw file-by-file diff for a pull request, with no AI review applied.
review_fileB	Run an AI code review on a single file within a pull request.
review_prA	Run a full AI code review on a pull request: fetches the diff, reviews every changed file in parallel, and returns a synthesized markdown review.
post_review_commentA	Post a review (typically the output of review_pr) as a comment on the pull request.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/srivastava-aryan/cmw-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server