MCP server that helps AI coding agents interact with AI code reviewers on GitHub PRs
Codereviewbuddy MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP server that helps AI coding agents interact with AI code reviewers on GitHub PRs.
An MCP server that helps your AI coding agent manage PR review comments from any AI reviewer that uses GitHub's PR review infrastructure.
Once Codereviewbuddy is connected, these are the calls the assistant has available:
summarize_review_status — query, discoverytriage_review_comments — queryget_thread — queryreply_to_comment — commanddiagnose_ci — querycheck_ci_status — querystack_activity — querylist_recent_unresolved — queryreview_pr_descriptions — queryshow_config — discoveryTroubleshooting — If your MCP client reports No module named 'fastmcp.server.tasks.routing', the runtime has an incompatible FastMCP. Fixes:Testing — The Testing tool exposed by this serverThe server ships on PyPI as codereviewbuddy, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
You will need 3 environment variables: CRB_OWNER_LOGINS, CRB_PR_DESCRIPTIONS__ENABLED, CRB_SELF_IMPROVEMENT__ENABLED. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
gh) installed and authenticated (gh auth login) - Python 3.14+Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Codereviewbuddy's toolset — summarize_review_status, triage_review_comments, get_thread and 10 more — is a fair guide to whether it matches your workflow. It is maintained by detailobsessed; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| summarize_review_status | query, discovery |
| triage_review_comments | query |
| get_thread | query |
| reply_to_comment | command |
| diagnose_ci | query |
| check_ci_status | query |
| stack_activity | query |
| list_recent_unresolved | query |
| review_pr_descriptions | query |
| show_config | discovery |
| Troubleshooting | If your MCP client reports No module named 'fastmcp.server.tasks.routing', the runtime has an incompatible FastMCP. Fixes: |
| Testing | The Testing tool exposed by this server. |
| Architecture | The server is built on [FastMCP v3](https://github.com/jlowin/fastmcp) with a clean separation: |
All options enabled:
```jsonc
{
"mcpServers": {
"codereviewbuddy": {
"command": "uvx",
"args": ["codereviewbuddy@latest"],
"env": {
// GitHub logins considered "ours" for triage filtering (comma-separated)
"CRB_OWNER_LOGINS": "alice,bob",
// Enable PR description quality checks
"CRB_PR_DESCRIPTIONS__ENABLED": "true",
// Agents suggest Linear issues when they hit server gaps
"CRB_SELF_IMPROVEMENT__ENABLED": "true"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
gh) installed and authenticated (gh auth login) - Python 3.14+| Variable | Description | Required |
|---|---|---|
| CRB_OWNER_LOGINS | Configuration value read at startup. | Optional |
| CRB_PR_DESCRIPTIONS__ENABLED | Configuration value read at startup. | Optional |
| CRB_SELF_IMPROVEMENT__ENABLED | Configuration value read at startup. | Optional |
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