Github MCP Server — Governed AI Access | Barndoor
Github MCP Server: Governed AI Access
Github's MCP server includes 40 different actions available to any connected model or AI agent. When registered with Barndoor, you can ensure centralized governance, visibility, and control across every AI agent your team uses.
Tools Available
| Tool | Action | Description |
|---|---|---|
| Create Pull Request | create | Creates a new pull request in a GitHub repository. Can create as draft. Requires owner, repo, title, head branch, and base branch. |
| Create Or Update File | create | Creates or updates a single file in a GitHub repository remotely. If updating, provide the file's SHA. |
| Read Issue | read | Retrieves details for a specific issue. Returns issue title, body, state, labels, and assignees. |
| List Issues | read | Lists issues in a repository with filtering options. Returns issue titles, states, and labels. |
| Delete File | delete | Deletes a file from a GitHub repository. Creates a commit removing the file. |
| Merge Pull Request | execute | Merges a pull request into the base branch. Supports merge, squash, or rebase methods. |
Use cases for Github
- Code Management: "Create and update files", "Manage branches", "Commit and push code"
- Pull Request Workflow: "Create and review PRs", "Merge pull requests", "Request Copilot reviews"
- Issue Tracking: "Create and update issues", "Track issue labels", "Manage sub-issues"
- Search Discovery: "Search code across repos", "Discover repositories", "Find users and teams"
What are the risks of using the Github MCP without an AI gateway?
- Uncontrolled reads — AI agents can pull data out of Github with no visibility into what was accessed.
- Ungoverned writes — agents can create or modify records in Github with no approval step.
- Destructive actions — agents can delete or overwrite Github data with no approval gate or audit trail.
Why connect Github with the Barndoor AI gateway?
Barndoor MCP Governance is the gateway between your AI agents and the tools they use.
| At a glance | Available? |
|---|---|
| Fine-grained access controls policies per agent, team, role, user, MCP server and tool call | Yes |
| Approval required before write/destructive actions | Yes (configurable per role) |
| Full audit log (reads and writes) | Yes |
| Sensitive data detection before it reaches a model or agent | Yes |
| Instant access revocation | Yes |
| SOC 2 Type II compliant | Yes |
- Centralized MCP management — One place to manage and control every MCP server across the organization so your team has an approved catalog of MCP servers that employees and AI agents connect through.
- Universal connection — One universal URL works across every AI provider your team uses.
- Fine-grained access controls — Set access policies for how AI is connecting with Github based on human identities, agent profiles, tool-access, context, and data fields.
- Protect sensitive data — Keeps sensitive data from reaching a model or AI agent with PII detection, masking, tokenization, redaction, and more.
- Observability — Real-time reporting and dashboards that give you visibility into what AI is doing with Github, how policies are being enforced, and who (human or agent) is doing what.
- Enterprise-grade security — Stay compliant with audit trails and logging.
Works with every AI client
Getting started with Github in Barndoor
- Connect the Github MCP server once
- Define your policies
- Go live across every AI client
Frequently asked questions
What is MCP?
MCP (Model Context Protocol) is the open standard that lets AI models and agents connect to external tools and data sources through a common interface, instead of a custom integration for every tool.
Is Barndoor secure?
Yes. Barndoor is SOC 2 Type II compliant. Barndoor enforces fine-grained access control, requires approval before destructive actions, protects sensitive data with data loss prevention, and logs every action for audit.
How are Github schema changes handled?
Barndoor tracks tool and schema changes on Github. New or changed tools inherit deny-by-default access until an admin reviews and approves them.
How can I get started with Github and Barndoor?
Connect Github once, define your access policies, and go live across every AI client your team uses. Setup takes three steps: connect the server, define policies by role or agent, and roll out to Claude, Cursor, ChatGPT, and any other MCP-compatible client.