GitHub Flow MCP
A policy-aware MCP server for GitHub and GitHub Actions that enables safe AI-assisted infrastructure workflows—inspecting repositories, preparing branches and pull requests, and constrained remote mutations behind explicit preview-bound approval tokens.
README
GitHub Flow MCP
A policy-aware Model Context Protocol server for GitHub and GitHub Actions workflows. It is designed for AI-assisted infrastructure work where agents can inspect repositories and prepare changes, while remote mutations remain constrained by explicit preview-bound approval.
Why this exists
AI agents are useful at collecting context and preparing repetitive Git operations, but infrastructure workflows still need reviewability and guardrails. This MCP exposes a deliberately small GitHub surface:
- repository, branch, pull request, review, and Actions inspection
- local Git inspection without silent branch/commit/push/merge operations
- branch and pull-request previews
- short-lived, single-use confirmation tokens bound to the exact preview
- optional Basecamp linkage
- optional repository-specific label and reviewer policy
- no merge tool, no branch deletion, no branch-protection changes, and no API-created commits
Safety model
Remote write tools are not registered unless:
GITHUB_WRITE_ENABLED=true
When enabled, branch creation, pull-request creation, and PR comments still require a confirmation_id returned by their matching preview. The token is short-lived, single-use, and bound to the exact payload. If a branch source SHA, PR body, label set, reviewer set, or comment changes, a new preview is required.
[!NOTE] The MCP enforces preview-before-write and exact payload binding. The MCP host should only forward the
confirmation_idafter actual human approval.
Installation
uv tool install git+https://github.com/thiagorchaves/github-flow-mcp.git
For development:
git clone https://github.com/thiagorchaves/github-flow-mcp.git
cd github-flow-mcp
uv sync --extra dev
Configuration
cp .env.example .env
chmod 600 .env
Use a fine-grained GitHub token with the minimum repositories and permissions needed. Typical permissions are Metadata read, Contents read/write for branch creation, Pull requests read/write, Issues read/write for labels/comments, Actions read, and Members read only when reviewer availability checks are required.
Organization-specific policy belongs in your local .env, not in the public repository. For example, you can require Basecamp links, configure a production branch marker, or require an AI-review label for selected repositories.
Kiro / MCP host example
{
"mcpServers": {
"github-flow": {
"command": "uvx",
"args": ["--from", "git+https://github.com/thiagorchaves/github-flow-mcp.git", "github-flow-mcp"],
"env": {
"GITHUB_TOKEN": "${GITHUB_TOKEN}",
"GITHUB_DEFAULT_OWNER": "${GITHUB_DEFAULT_OWNER}",
"GITHUB_INITIALS": "tc",
"GITHUB_DEFAULT_BASE_BRANCH": "main",
"GITHUB_LOCAL_REPOS_ROOT": "${HOME}/Projects",
"GITHUB_WRITE_ENABLED": "false",
"GITHUB_CONFIRMATION_TTL_SECONDS": "300"
},
"autoApprove": []
}
}
}
Tools
Read and diagnostics
healthcheckget_authenticated_userget_repositorylist_branchesget_collaborator_permissioninspect_local_repositorylist_pull_requestsget_pull_requestlist_pull_request_fileslist_pull_request_reviewslist_workflowslist_workflow_runs
Preview
preview_branch_namepreview_local_commitpreview_remote_branchpreview_pull_requestpreview_pull_request_comment
Remote writes, registered only when enabled
create_remote_branchcreate_pull_requestadd_pull_request_comment
Basecamp handoff
build_basecamp_pr_update
This tool only generates Markdown. A Basecamp MCP can independently preview and publish that update.
Recommended workflow
- Retrieve the work-item context.
- Inspect the local repository without modifying it.
- Preview the branch and show it to the user.
- After approval, use the preview token to create the remote branch if needed.
- Edit and commit locally using your normal signed Git workflow.
- Push the branch.
- Preview the pull request.
- After approval, use its token to open the PR.
- Let humans review the PR and apply the infrastructure change through the normal delivery process.
Development
uv sync --extra dev
uv run ruff format --check .
uv run ruff check .
uv run mypy github_flow_mcp
uv run pytest
Security
Never commit .env, GitHub tokens, internal repository data, company-specific paths, or private work-item URLs. See SECURITY.md.
License
MIT. See LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.