"Fetching data from a server" matching MCP servers:

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

A local MCP server that provides a safe, explicit set of Git operations for version control tasks like status, diff, branching, staging, committing, fetching, merging, and pushing.

A unified MCP server that combines GitHub, local Git, Slack, web fetching, persistent memory, and filesystem tools into a single configuration entry, with dangerous capabilities like shell execution disabled by default.

A Model Context Protocol server that generates prompts based on Git repository content, including a command to generate PR descriptions from diffs.

A Model Context Protocol server that enables efficient management of GitHub issues in a Kanban board format, allowing LLMs to automate task management through GitHub integration.

A Model Context Protocol server that automatically generates structured release notes from Git repository tags, analyzing differences between tags and saving formatted Markdown output to the .iris directory.

A Model Context Protocol server for creating commit messages from git staged files.

This read-only MCP Server allows you to connect to GitHub data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Bitbucket (beta): https://www.cdata.com/download/download.aspx?sku=KJZK-V&type=beta

A self-hosted MCP server that gives Claude access to your GitHub account — read files, browse repos, commit changes, and manage issues and pull requests, all from a conversation.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol.

A focused Model Context Protocol server for triaging and reviewing GitHub pull requests from Claude Desktop, Cursor, and other stdio-compatible MCP clients.

Connects AI assistants to Bitbucket Server/Data Center for reviewing pull requests, managing repositories, searching users, and more.

Enables AI assistants to discover, filter, and triage GitHub issues across repositories, with tools for fetching issue details, listing issues by state/labels, and finding related pull requests.

A local-first MCP server that lets AI assistants search and retrieve context from indexed projects, Git state, decisions, and tasks without sending data to the cloud.

Enables AI systems to interact with Atlassian Bitbucket Server/Data Center for accessing projects, repositories, branches, files, and managing pull requests.

MCP server for AI DevTool workflow, exposing tools and resources for code review, repository chat, and repository operations.

A Model Context Protocol server that exposes personal data tools for Spotify listening history, movie ratings, and GitHub repos, enabling natural language queries from MCP clients.