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Project Hub MCP Server

MCP Server

Manage projects, track changes, and sync with GitHub effortlessly

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Updated Jan 21, 2025

About

The Project Hub MCP Server provides project management, change tracking, and GitHub integration for local projects. It automates repository creation, commits, and source file monitoring across multiple GitHub accounts.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Peterparker57 Project Hub MCP Server

The Project Hub MCP server is designed to bridge the gap between local development workflows and remote GitHub repositories. It provides a unified interface for creating, managing, and synchronizing projects while keeping track of every change that occurs in the codebase. For developers who use AI assistants to automate or augment their workflow, this server turns a raw repository into a rich, stateful context that the assistant can query and manipulate in real time.

At its core, the server solves two common pain points: project lifecycle management and GitHub integration. Developers often juggle multiple local projects, each with its own repository state, and need a reliable way to track progress, roll back mistakes, or create new branches without leaving the IDE. By exposing tools such as , , and , the server records a high‑level history of work items (features, bug fixes, refactors) that AI assistants can surface as summaries or status reports. This history is then seamlessly pushed to GitHub via the commit and repository tools, ensuring that local changes are always reflected in the remote repo.

Key capabilities include:

  • Project orchestration: Create, list, and delete projects; link them to GitHub repositories or keep them purely local.
  • Change tracking: Record detailed change entries, retrieve pending changes, and mark them as committed with a specific SHA.
  • GitHub account management: Support for multiple personal access tokens, allowing teams to switch contexts or collaborate across organizations.
  • Repository operations: Create, clone, rename, delete repositories; link them to projects and perform fine‑grained file operations.
  • Commit handling: Batch commits, list commit history with filters, revert changes, and fetch individual commit details.
  • Source file monitoring: Scan all source files for a project, record modifications, and keep the server’s view in sync with disk changes.

In practice, a developer can ask an AI assistant to “show me all uncommitted bug fixes for Project X” or “create a new branch on GitHub named and push the latest changes.” The assistant, backed by the MCP server, can answer with a precise list of pending changes, automatically generate a commit message, and push the new branch—all without manual Git commands. Teams benefit from an auditable trail of decisions, easier onboarding for new members (who can pull the project state directly from the server), and reduced friction when integrating CI/CD pipelines that rely on accurate repository metadata.

What sets this MCP server apart is its dual focus on both project management and GitHub integration. Rather than treating the repository as a passive storage layer, it treats it as an active participant in the development lifecycle. This makes it especially valuable for AI‑driven tooling that needs to reason about what has changed, why, and where those changes should be reflected in the remote history. Developers who want a single, consistent source of truth for project state—whether they’re coding locally or orchestrating builds from the cloud—will find this server an indispensable bridge between their local environment and GitHub.