codereviewbuddy

codereviewbuddy

An MCP server that helps AI coding agents manage GitHub PR review comments. It also provides CI diagnosis, stack activity tracking, and other tools to streamline code review workflows.

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README

<!-- mcp-name: io.github.detailobsessed/codereviewbuddy -->

codereviewbuddy

ci release documentation Python 3.14+ FastMCP v3

An MCP server that helps your AI coding agent manage PR review comments from any AI reviewer that uses GitHub's PR review infrastructure.

Features

Review comment management

  • Triage review commentstriage_review_comments filters to only actionable inline threads and includes direct GitHub URLs for each comment
  • Get thread detailsget_thread fetches full conversation history for any thread by node ID
  • Reply to anything — inline review threads (PRRT_), PR-level reviews (PRR_), and bot issue comments (IC_) all routed to the correct GitHub API

CI & stack diagnosis

  • Diagnose CI failuresdiagnose_ci collapses 3-5 sequential gh commands into one call: finds the failed run, identifies failed jobs/steps, and extracts actionable error lines
  • Stack activity feedstack_activity shows a chronological timeline of pushes, reviews, labels, merges across all PRs in a stack with a settled flag for deciding when to proceed
  • Scan merged PRslist_recent_unresolved catches late review comments on already-merged PRs

Agent experience

  • Recovery-guided errors — every tool handler classifies errors (auth, rate limit, not found, workspace, GraphQL, config) and returns actionable recovery hints so agents self-correct instead of retrying blindly
  • Next-action hints — tool responses include next_steps suggestions guiding agents to the right follow-up tool call
  • Empty result messages — when results are empty, responses explain why and suggest what to try next
  • GUI URLs — triage items include comment_url so agents can link users directly to the comment on GitHub
  • Tool classification tags — tools are tagged query, command, or discovery for MCP clients that support filtering

Server features (FastMCP v3)

  • Typed output schemas — all tools return Pydantic models with JSON Schema, giving MCP clients structured data instead of raw strings
  • Progress reporting — long-running operations report progress via FastMCP context (visible in MCP clients that support it)
  • Production middleware — ErrorHandling (transforms exceptions to clean MCP errors with tracebacks), Timing (logs execution duration for every tool call), and Logging (request/response payloads for debugging)
  • Zero config auth — uses gh CLI, no PAT tokens or .env files

CLI testing (free with FastMCP v3)

FastMCP v3 gives you terminal testing of the server with no extra code:

# List all tools with their signatures
fastmcp list codereviewbuddy.server:mcp

# Call a tool directly from the terminal
fastmcp call codereviewbuddy.server:mcp triage_review_comments pr_numbers='[42]'

# Inspect server metadata
fastmcp inspect codereviewbuddy.server:mcp

# Run with MCP Inspector for interactive debugging
fastmcp dev codereviewbuddy.server:mcp

Prerequisites

Installation

This project uses uv. No install needed — run directly:

uvx codereviewbuddy

Or install permanently:

uv tool install codereviewbuddy

MCP Client Configuration

Quick setup (recommended)

One command configures your MCP client — no manual JSON editing:

uvx codereviewbuddy install claude-desktop
uvx codereviewbuddy install claude-code
uvx codereviewbuddy install cursor
uvx codereviewbuddy install windsurf
uvx codereviewbuddy install windsurf-next

With optional environment variables:

uvx codereviewbuddy install windsurf \
  --env CRB_SELF_IMPROVEMENT__ENABLED=true

For any other client, generate the JSON config:

uvx codereviewbuddy install mcp-json          # print to stdout
uvx codereviewbuddy install mcp-json --copy   # copy to clipboard

Restart your MCP client after installing. See uvx codereviewbuddy install --help for all options.

Manual configuration

If you prefer manual setup, add the following to your MCP client's config JSON:

{
  "mcpServers": {
    "codereviewbuddy": {
      "command": "uvx",
      "args": ["codereviewbuddy@latest"],
      "env": {
        // All CRB_* env vars are optional — zero-config works out of the box.
        // See Configuration section below for the full list.
      }
    }
  }
}

All options enabled:

{
  "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"
      }
    }
  }
}

The server auto-detects your project from MCP roots (sent per-window by your client). This works correctly with multiple windows open on different projects — no env vars needed.

Why @latest? Without it, uvx caches the first resolved version and never upgrades automatically.

From source (development)

For local development, use uv run --directory to run the server from your checkout instead of the PyPI-published version. Changes to the source take effect immediately — just restart the MCP server in your client.

{
  "mcpServers": {
    "codereviewbuddy": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/codereviewbuddy", "codereviewbuddy"],
      "env": {
        // Same CRB_* env vars as above, plus dev-specific settings:
        "CRB_SELF_IMPROVEMENT__ENABLED": "true"
      }
    }
  }
}

Troubleshooting

If your MCP client reports No module named 'fastmcp.server.tasks.routing', the runtime has an incompatible FastMCP. Fixes:

  1. Prefer uvx codereviewbuddy@latest in MCP client config.
  2. For local source checkouts, launch with uv run --directory /path/to/codereviewbuddy codereviewbuddy.
  3. Reinstall to refresh cached deps: uv tool install --reinstall codereviewbuddy.

MCP Tools

Tool Tags Description
summarize_review_status query, discovery Lightweight stack-wide overview — start here
triage_review_comments query Only actionable inline threads needing attention
get_thread query Full thread details by node ID — use after triage for conversation history
reply_to_comment command Reply to inline threads (PRRT_), PR-level reviews (PRR_), or bot comments (IC_)
diagnose_ci query Diagnose CI failures — finds the failed run, jobs, steps, and error lines in one call
check_ci_status query Lightweight CI pass/fail/pending check for a PR — use before merging
stack_activity query Chronological activity feed across a PR stack with a settled flag
list_recent_unresolved query Scan recently merged PRs for unresolved review threads
review_pr_descriptions query Analyze PR descriptions for quality issues (empty body, boilerplate, missing linked issues)
show_config discovery Show active configuration with human-readable explanation

MCP Resources

Resource Description
pr://{owner}/{repo}/{pr_number}/reviews Read-only review summary for a single PR

MCP Prompts

Prompt Description
review_stack Full review pass workflow — summarize, triage, fix, reply, verify
pr_review_checklist Pre-merge quality checklist (review threads, PR hygiene, CI, tests)
ship_stack Pre-merge sanity check workflow before merging a PR stack

Configuration

codereviewbuddy works zero-config with sensible defaults. All configuration is via CRB_* environment variables in the "env" block of your MCP client config — no config files needed. Nested settings use __ (double underscore) as a delimiter. See the dev setup above for a fully-commented example.

All settings

Env var Type Default Description
CRB_PR_DESCRIPTIONS__ENABLED bool true Whether review_pr_descriptions tool is available
CRB_SELF_IMPROVEMENT__ENABLED bool false Agents suggest Linear issues when they encounter server gaps
CRB_OWNER_LOGINS comma-separated [] GitHub usernames considered "ours" for triage filtering (e.g. alice,bob)

Typical workflow

1. summarize_review_status()                     # Stack-wide overview — start here
2. triage_review_comments(pr_numbers=[42, 43])   # Only actionable threads needing attention
3. # Fix bugs flagged by triage, then:
4. reply_to_comment(42, thread_id, "Fixed in ...")  # Reply explaining the fix
5. diagnose_ci(pr_number=42)                     # If CI fails, diagnose in one call

Each tool response includes next_steps hints guiding the agent to the right follow-up call. For stacked PRs, all query tools auto-discover the stack when pr_numbers is omitted.

Development

git clone https://github.com/detailobsessed/codereviewbuddy.git
cd codereviewbuddy
uv sync

Testing

poe test          # Run tests (excludes slow)
poe test-cov      # Run with coverage report
poe test-all      # Run all tests including slow

Quality checks

poe lint          # ruff check
poe typecheck     # ty check
poe check         # lint + typecheck
poe prek          # run all pre-commit hooks

Architecture

The server is built on FastMCP v3 with a clean separation:

  • server.py — FastMCP server with tool registration, middleware, instructions, and recovery-guided error handling
  • config.py — Configuration (CRB_* env vars via pydantic-settings)
  • tools/ — Tool implementations (comments.py, stack.py, ci.py, descriptions.py)
  • gh.py — Thin wrapper around the gh CLI for GraphQL and REST calls
  • models.py — Pydantic models for typed tool outputs with next_steps and message fields for agent guidance

All blocking gh CLI calls are wrapped with call_sync_fn_in_threadpool to avoid blocking the async event loop.

Template Updates

This project was generated with copier-uv-bleeding. To pull the latest template changes:

copier update --trust .

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