"Understanding and Evaluating APIs" matching MCP servers:

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

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.

Provides tools to read local git repositories and fetch public web pages without external APIs, configurable via environment variables or JSON files.

Enables AI coding agents to retrieve cited git-history explanations for files and tickets, compile a Team Engineering Contract from repository artifacts, and follow guided Understand/Build workflows over MCP stdio. It lets clients such as Grok, Claude Code, Codex, Kiro, and Cursor share the same tools for evidence-backed repository understanding.

A local-only MCP server for understanding Git repositories, offering repository summary, recent changes, file hotspots, and hygiene checks without network access.

A sample MCP server built with FastMCP that demonstrates basic tools and a Google OAuth integration for accessing Google APIs like Calendar.

A Model Context Protocol server that provides AI assistants with access to Microsoft Teams, enabling interaction with teams, channels, chats, and organizational data through Microsoft Graph APIs.

Enables AI assistants to search and explore Chromium and PDFium source code, check Gerrit code reviews with test results and bot errors, search issues, and analyze commit history through Google's official APIs.

An MCP server for the GitHub API that provides repo summaries, recent commit messages, raw README resources, and a prompt template for evaluating repos as portfolio pieces.

MCP server for Bitbucket Server integration, enabling project, repository, pull request, source code, branch, and code review operations via the Bitbucket Server APIs.

This MCP server lets an AI client manage GitHub repositories through the GitHub REST and GraphQL APIs, enabling repository CRUD, topic/label management, and file operations.

Enables developers to interact with Figma designs, Jira and Confluence content, and GitLab projects through a single stdio MCP server using REST APIs and glab fallback, with credentials managed via environment variables.

MCP server for integrating with Bitbucket Cloud and Server APIs, enabling AI assistants to interact with repositories, pull requests, pipelines, and more.

A Model Context Protocol server that enables AI assistants to interact with Bitbucket repositories, pull requests, and other resources through Bitbucket Cloud and Server APIs.

Enables interaction with Azure DevOps services including work items, repositories, pipelines, wikis, and test plans through a local MCP server that provides direct access to Azure DevOps REST APIs from your code editor.

An MCP server that gives AI assistants deep understanding of your local Git repositories, providing instant repo overviews, change summaries, blame analysis, changelogs, branch health checks, and history search.

Enables AI assistants to interact with Azure DevOps APIs for managing projects, work items, repositories, pull requests, and pipelines through natural language.

Enables AI assistants to interact with Azure DevOps APIs for managing projects, work items, repositories, pull requests, pipelines, and more through natural language.