"Methods to Test API Endpoints" matching MCP servers:

Test Repository

Provides access to GitHub v3 REST API functionality through STDIO mode with FastMCP, enabling users to interact with GitHub resources.

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.

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

An MCP server that enables AI clients to autonomously discover, analyze, fix, test, submit, and track open-source contributions on GitHub through specialized tools.

Connects AI assistants to GitLab to interact with merge requests, reviews, discussions, pipelines, and test results through natural language queries. Supports viewing MR details, responding to comments, checking test summaries, and analyzing job logs.

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.

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.

A local MCP server for Jenkins that provides 17 tools to interact with Jenkins jobs, builds, logs, SCM, and test results via REST API, no plugin required.

A Model Context Protocol (MCP) server that provides Xcode-related tools for integration with AI assistants and other MCP clients.

Anthropic's github MCP server, but better. Support for more endpoints. Including releases and tags, pull request reviews, statuses, rate limit, gists, projects, packages, and even pull request diffs. Indented to be used with MissionSquad's MCP API for secret management (aka your access token).

A read-only MCP server connecting AI assistants to Azure DevOps Server (on-premises) for browsing projects, repos, builds, work items, releases, pipelines, and test results.

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.

Full-featured MCP server exposing 200+ Gitee API v5 endpoints for repository, issue, pull request, user, enterprise, gist, and search management.

Provides AI assistants with comprehensive access to Azure DevOps services including work items, repositories, pull requests, wikis, builds, pipelines, and test plans through 25+ MCP tools with multi-project support.

Enables AI agents to query project memory by linking code changes to the conversations that produced them, allowing retrieval of past decisions and constraints directly from the codebase.

Enables ChatGPT Pro web to securely read workspace files, git diffs, and test records through OAuth-protected read-only MCP tools, so it can plan and review while Codex handles execution without uploading the repository.

An MCP server that tracks AI prompts in Claude Code and automatically annotates git commits with the history of what was asked. It provides tools to query session summaries, retrieve uncommitted work, and manage AI provenance directly within Claude.