INFRASTRUCTURE · MCP

GitHub MCP

Connect AI agents to your GitHub through MCP — code, review, and ship with guardrails

Overview

A Model Context Protocol integration lets autonomous AI agents work inside GitHub the way an engineer would — reading code, opening and reviewing pull requests, triaging issues, and inspecting CI runs. Agents act through scoped tokens and defined permissions, so every action is attributable and bounded. EGGKNITE builds these agents to move real engineering and growth work forward while keeping humans on the merge decisions.

What agents can do

Read and search code

Agents browse repositories, read files, search across the codebase, and inspect commit and diff history to ground their work in real context.

Manage issues and pull requests

Agents open, label, comment on, and triage issues, and create or review pull requests with proposed changes for human approval.

Inspect CI and checks

Agents read GitHub Actions run status, logs, and check results to diagnose failures and report what broke and why.

Branch and commit changes

Agents create branches and commit scoped edits, pushing work as pull requests that pass through required reviews before merge.

Agentic workflows we build

Autonomous issue triage

An agent reads incoming issues, labels and prioritizes them, links duplicates, and drafts reproduction steps or first-pass fixes as pull requests for the team to review.

CI failure diagnosis

When a GitHub Actions run fails, an agent pulls the logs, identifies the root cause, and posts a clear diagnosis plus a suggested fix on the pull request.

Code review assist

An agent reviews open pull requests against your standards — flagging risks, missing tests, and style issues — leaving inline comments so human reviewers move faster.

INTEGRATIONBuilding with GitHubSee the integration →THE PRACTICEHeadless Web & AI DevelopmentExplore the service →

FAQ

Can agents merge to production on their own?

No, unless you explicitly want that. We default to agents proposing changes as pull requests behind branch protection and required human review, so a person always approves what ships.

How is agent access scoped?

Agents connect through scoped tokens or a GitHub App with least-privilege permissions per repository. You control exactly which repos and actions are in reach, and every action is logged under a dedicated identity.

What does the MCP layer add over calling the GitHub API directly?

MCP gives the agent a consistent, permissioned tool interface to GitHub, so it can reason over issues, code, and CI without bespoke glue code — and we keep the same guardrails across every agent we build.

More infrastructure

Let's grow.