GitHub Projects V2▌
by arclio
Seamlessly manage GitHub Projects V2 boards and issues. Natural language commands for integrated workflows, perfect for
Integrates with GitHub Projects V2 to enable direct management of project boards, issues, and field values through natural language commands without switching contexts.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers managing GitHub project boards
- / Teams tracking issues and PRs in projects
- / Project managers updating field values
capabilities
- / List and view GitHub Projects V2
- / Create issues and add them to projects
- / Create draft issues directly in projects
- / Update project item field values
- / Get project fields and items
- / Delete items from projects
what it does
Connects to GitHub Projects V2 to manage project boards, issues, and field values through natural language commands via the GitHub GraphQL API.
about
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.
how to install
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.
license
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.
readme
GitHub Projects V2 MCP Server
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.
Features
- List and view GitHub Projects V2 for users and organizations
- Get project fields and items (issues, PRs, draft issues)
- Create issues and add them to projects
- Create draft issues directly in projects
- Update project item field values
- Delete items from projects
Usage
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).
Option 1: Using Published Package
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.
Option 2: From Source Code
To run the project directly from source code, follow these steps:
Setup
-
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, andread:org.Add the token to your
.envfile after running this command:cp .env.example .envThen add the following to your
.envfile:export GITHUB_TOKEN=your_personal_access_token
Usage from source code
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.
Available Tools
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 V2
See tool documentation in the server code for detailed usage information.
Development
The project is structured as follows:
src/github_projects_mcp/: Main package directoryserver.py: MCP server implementation with tool definitionsgithub_client.py: GraphQL client for GitHub API interactions
To contribute, make sure to:
- Add proper error handling for all GraphQL operations
- Add type annotations for all functions and parameters
- Update documentation when adding new tools or features
FAQ
- What is the GitHub Projects V2 MCP server?
- GitHub Projects V2 is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for GitHub Projects V2?
- This profile displays 36 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★36 reviews- ★★★★★Valentina Menon· Dec 28, 2024
According to our notes, GitHub Projects V2 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Noah Bansal· Dec 20, 2024
Strong directory entry: GitHub Projects V2 surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Carlos Khanna· Dec 12, 2024
GitHub Projects V2 has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ganesh Mohane· Dec 8, 2024
Strong directory entry: GitHub Projects V2 surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Sakshi Patil· Nov 27, 2024
GitHub Projects V2 is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Mei Khanna· Nov 27, 2024
Strong directory entry: GitHub Projects V2 surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Meera Thomas· Nov 11, 2024
GitHub Projects V2 is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Chaitanya Patil· Oct 18, 2024
We evaluated GitHub Projects V2 against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Kwame Sharma· Oct 18, 2024
I recommend GitHub Projects V2 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Naina Taylor· Oct 2, 2024
We evaluated GitHub Projects V2 against two servers with overlapping tools; this profile had the clearer scope statement.
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