What is MCP?
Model Context Protocol (MCP) enables AI assistants to interact with external systems and APIs through standardized interfaces.
@sonadukane18
Basic information
Experimental MCP Server created via Github-MCP integration.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "your_github_pat_here"
}
}
}
}Tool list not available yet
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Fetch the live tool list by running this server in a temporary sandbox using the button above.
GitHub MCP Server enables AI assistants to interact with GitHub through standardized interfaces, allowing AI models to perform GitHub operations like creating repositories, managing files, and working with issues and pull requests. It is designed for developers using AI-assisted coding workflows with MCP-compatible tools.
Install Node.js, create a GitHub Personal Access Token (PAT) with repository and user permissions, then configure an mcp.json file in your user directory (e.g., ~/.cursor/mcp.json) with the command npx -y @modelcontextprotocol/server-github and the token as an environment variable. Use a compatible AI assistant, such as Cursor, to execute GitHub operations via natural language.
Model Context Protocol (MCP) enables AI assistants to interact with external systems and APIs through standardized interfaces.
The fine-grained token requires repository permissions (Read and write for Administration, Contents, Issues, Pull requests) and user permission (Read-only).
The configuration file `mcp.json` is placed in the user directory under `.cursor/mcp.json`, for example `~/.cursor/mcp.json` on macOS/Linux or `C:\Users\YourUsername\.cursor\mcp.json` on Windows.
Node.js must be installed on the system to run the MCP server.
Ensure your GitHub Personal Access Token has the necessary permissions for the operations you are trying to perform, and check that the token has not expired.
A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow tra
MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, and teams.
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.
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