by arclio
Seamlessly manage GitHub Projects V2 boards and issues. Natural language commands for integrated workflows, perfect for
Connects to GitHub Projects V2 to manage project boards, issues, and field values through natural language commands via the GitHub GraphQL API.
GitHub Projects V2 is a community-built MCP server published by arclio that provides AI assistants with tools and capabilities via the Model Context Protocol. Seamlessly manage GitHub Projects V2 boards and issues. Natural language commands for integrated workflows, perfect for It is categorized under developer tools, productivity.
You can install GitHub Projects V2 in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
GitHub Projects V2 is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
According to our notes, GitHub Projects V2 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: GitHub Projects V2 surfaces stars and publisher context so we could sanity-check maintenance before adopting.
GitHub Projects V2 has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: GitHub Projects V2 surfaces stars and publisher context so we could sanity-check maintenance before adopting.
GitHub Projects V2 is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: GitHub Projects V2 surfaces stars and publisher context so we could sanity-check maintenance before adopting.
GitHub Projects V2 is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated GitHub Projects V2 against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend GitHub Projects V2 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated GitHub Projects V2 against two servers with overlapping tools; this profile had the clearer scope statement.
showing 1-10 of 36
A Model Context Protocol (MCP) server that provides tools for managing GitHub Projects V2 through Claude and other MCP clients. This server uses the GitHub GraphQL API for interacting with GitHub Projects V2.
This server can be used with any MCP client, such as Claude Desktop. Add it to
your MCP client configuration (e.g., claude_desktop_config.json).
Here's an example configuration using uvx as the command runner:
{
"mcpServers": {
"github-projects": {
"command": "uvx",
"args": [
"mcp-github-projects"
],
"env": {
"GITHUB_TOKEN": "your_pat_here"
}
}
}
}
Make sure to replace your_pat_here with your actual GitHub Personal Access
Token.
To run the project directly from source code, follow these steps:
Clone the repository:
git clone [email protected]:Arclio/github-projects-mcp.git
cd github-projects-mcp
Create and activate a virtual environment:
uv venv
source venv/bin/activate
Install dependencies:
uv pip install -e .
Set your GitHub token as an environment variable:
Create a GitHub Personal Access Token and give it the necessary permissions.
The required permissions are: repo, project, and read:org.
Add the token to your .env file after running this command:
cp .env.example .env
Then add the following to your .env file:
export GITHUB_TOKEN=your_personal_access_token
When using from source code, configure your MCP client as follows:
{
"mcpServers": {
"github-projects": {
"command": "uv",
"args": [
"--directory",
"/path/to/github-projects-mcp",
"run",
"mcp-github-projects"
],
"env": {
"GITHUB_TOKEN": "your_pat_here"
}
}
}
}
Make sure to replace /path/to/github-projects-mcp and your_pat_here with
your actual repository path and GitHub Personal Access Token.
list_projects: List GitHub Projects V2 for a given organization or userget_project_fields: Get fields available in a GitHub Project V2get_project_items: Get items in a GitHub Project V2 (supports filtering by
state or custom single-select fields)create_issue: Create a new GitHub issueadd_issue_to_project: Add an existing GitHub issue to a Project V2update_project_item_field: Update a field value for a project itemcreate_draft_issue: Create a draft issue directly in a GitHub Project V2delete_project_item: Delete an item from a GitHub Project V2See tool documentation in the server code for detailed usage information.
The project is structured as follows:
src/github_projects_mcp/: Main package directory
server.py: MCP server implementation with tool definitionsgithub_client.py: GraphQL client for GitHub API interactionsTo contribute, make sure to:
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.