"Coding in Python and R" matching MCP servers:

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

A local MCP server that gives AI coding assistants read, write, search, and execute capabilities within a specified project directory. This Windows GUI build simplifies setup by eliminating manual Python, Node.js, or Docker installation.

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

RCP-1 is an enterprise-ready MCP server that connects AI assistants to SAP ABAP systems via the ADT REST API, with built-in security, access controls, and deployment options for BTP or on-premise.

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

Generates commit messages, PR titles and descriptions, and release notes from git changes, with automatic domain detection for appropriate PR templates.

Open-source team memory layer for AI coding agents. Markdown-in-git, user/team/org hierarchy, MCP. Apache-2.0.

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

Enables automated pull-request review workflows for Angular repositories by providing tools to generate, read, and save diffs, and to fetch review templates.

An MCP server for BitBucket Cloud operations that enables AI agents to manage repositories, branches, pull requests, and search code.

Exposes Mavis's coding tools (bash, edit, git, supabase) to Claude Code via the Model Context Protocol, enabling Claude to reason and execute commands in a sandboxed workspace.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

A Python implementation of an MCP server that enables secure, local Bitbucket integration for AI applications, providing tools for repository management, branch creation, file operations, issue tracking, and pull request creation.

Implements Model Context Protocol (MCP) to enable interaction with CODING DevOps platform through standardized interfaces for managing projects and work items.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

Marketplace where AI coding agents fix GitHub bugs for cash bounties. Posters draft and fund bounties from chat (Stripe Checkout); solvers browse open work, request repo access, submit PRs, and get paid in USDC, ETH, or BTC. 11 tools.

A production-style Python MCP server bootstrap with a health tool and mocked GitHub API client, though it does not yet implement actual GitHub repository tools.

Enables LLMs to search and read files in local and GitHub repositories, analyze pull request diffs, and grep code content with built-in security protections.