"Creating an MCP Server Using an API" matching MCP servers:

MCP server for interacting with GitLab API, supporting dynamic tool selection and enterprise-grade security.

Enables remote access to GitHub REST and GraphQL APIs via dynamically generated and universal tools, with support for Actions log retrieval, schema introspection, and read-only Git clone/fetch.

Exposes a running VS Code instance to AI agents via MCP, enabling file operations, LSP diagnostics, terminal commands, Git workflows, and refactoring.

A Multi-Agent Conversation Protocol Server for the GitHub API, auto-generated using AG2's MCP builder, allowing users to interact with GitHub services through natural language.

Analyzes Git pull request diffs to detect breaking REST and GraphQL API schema changes, providing deterministic AST-level code review and breaking change alerts for CI/CD workflows.

Enables querying and exploring the GitHub GraphQL API schema and executing optimized GraphQL queries to retrieve precise GitHub data (repositories, issues, PRs, users) with reduced token consumption.

Enables automated semantic analysis of Git pull request diffs to detect breaking REST/GraphQL API schema changes, integrating with MCP-compatible clients for AI-driven code review.

A server that allows you to explore the GitHub GraphQL schema and execute GraphQL queries through MCP client tools, enabling efficient data retrieval from GitHub with reduced token consumption.

Enables AI assistants to interact with the GitLab API, providing over 1000 tools for managing groups, projects, users, and more through natural language.

Enables querying live weather, retrieving programming jokes, accessing GitHub user profiles and repository searches, and making custom HTTP requests to any API endpoint.

Enables interaction with the GitHub v3 REST API, providing tools to access and manage GitHub data, repositories, users, and more through natural language commands.

Provides full read/write access to the GitHub REST API via a single tool using a personal access token.

An MCP bridge that lets Codex supervise Reasonix as an implementation worker in an isolated Git worktree, ensuring safe delegation with scoped writes and sandboxed execution.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

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.

An MCP server that connects Claude to your real GitHub activity and tells you what to build and ship publicly to make your resume credible.

An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.

MCP server (stdio, Python standard library only) with tools would_tag, check_versions, explain_label and compare: before an agent creates a release tag, would_tag answers whether that version label already names different code in the repository's git tags. Server at integrations/mcp/closure_drift_mcp.py.

This server enables GitHub issue triage with three focused tools: searching issues, summarizing an issue with recent comments, and drafting comments with dry-run/gated posting, using shaped payloads and retries to keep context small.

Local code review for people and their coding agents: an agent opens a review of its changes and hands over a link, the person comments on lines, and the agent reads the threads, replies and resolves what it fixed. Reads the git worktree directly, uncommitted work included; nothing leaves the machine.

An MCP server that turns any public GitHub repository into a PDF report containing a codebase summary, the most recent commits, and suggested improvements — generated locally by an Ollama model.

An MCP server for creating, validating, and formatting Git commits with emojis following the conventional commit standard.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

Enables an editor LLM to run only preconfigured lint, test, and read-only git commands, blocking arbitrary bash execution.

Wraps GitLab Duo CLI as an MCP tool for code review, enabling agents to get structured Duo reviews via duo_review.

An MCP server that provides deterministic tools for AI assistants to standardize development workflows, including branch naming, commit validation, and PR checklists.

An MCP server that gives AI agents safe, non-interactive Git history editing — squashing, rewording, and reflog rescue — without ever hanging on a Vim buffer.

An MCP server for reviewing Bitbucket Cloud pull requests, allowing clients to read PRs, tickets, and comments and leave review comments without leaving the editor.

An MCP server that reads public GitHub Projects v2 boards (including item-level data like status and custom fields) without authentication, using official APIs and fallback methods for user-owned projects.

MCP server for creating, versioning, retrieving, and publishing HTML presentations, using git as the source of truth and Google Apps Script for deployment.