How do I install the dependencies?
Run `pip install flask requests` after installing Python 3.x.
@jatinnahar15
Basic information
Repository created via custom MCP Python server
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Github MCP Server Demo is a lightweight MCP server that connects to the GitHub API, allowing you to create repositories by sending JSON commands via HTTP POST requests.
Install Python 3.x, Flask, and requests. Create a GitHub Personal Access Token with repo scope, set it as the environment variable GITHUB_TOKEN, and run python mcp_github_server.py. Then send a POST request to http://localhost:5001/command with a JSON body specifying the action (e.g., create-repo) and inputs.
Run `pip install flask requests` after installing Python 3.x.
Yes, you must create a GitHub Personal Access Token with `repo` scope and set it as the `GITHUB_TOKEN` environment variable.
It listens on `localhost:5001` and expects POST requests with JSON payloads to the `/command` endpoint.
The README shows a `create-repo` command that accepts `repo_name`, `private` (boolean), and `description` fields.
Data is stored directly on GitHub via the API; the server does not persist any local state.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
a private MCP server for accessing Linear
MCP servers for the Atlassian products (Bitbucket, Confluence, JIRA) of the Data Center version
A Git MCP server for AI agents. STDIO & Streamable HTTP.
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