"Steps for analyzing new API documentation and writing test cases" matching MCP servers:

A simple MCP server combining FastMCP and LangGraph that enables AI agent interactions through tools for asking questions to an OpenAI-powered agent and receiving personalized greetings.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Provides full Devin API coverage via MCP servers, enabling programmatic management of sessions, knowledge, playbooks, secrets, schedules, and attachments, plus a documentation-only DeepWiki proxy.

MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

Enables ChatGPT to delegate writing, analysis, second opinions, and Japanese text polishing to Gemini through a single ask_gemini tool, without copying text to Gemini's web interface. Self-hosted on Cloudflare with your own Gemini API key and Google login.

Provides pre-fetch routing intelligence for AI agents by recommending the cheapest reliable route (HTTP, browser, machine endpoint, or avoid) before visiting a URL.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

A meta API Gateway server that works with the Model Context Protocol (MCP), enabling AI assistants to connect to any API and access real-world data sources through standardized MCP tools.

Signed, offline-verifiable authorization for API-contract changes. Before a contract change (OpenAPI, GraphQL, Protobuf, AsyncAPI, MCP manifests) merges or deploys, the agent calls preflight_change_set; the decision is deterministic, signed, and verifiable without calling CodeRifts. Three tools: preflight_change_set, verify_receipt, get_decision_details. Only a granted change can proceed.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

Converts any REST API into MCP-compatible tools instantly by providing an OpenAPI/Swagger spec, enabling seamless integration with AI agents.

Acts as a bridge between standard REST/OpenAPI web APIs and the Model Context Protocol, dynamically converting REST endpoints into MCP tools for LLM clients like Cursor, Claude Desktop, and n8n.

Enables Claude and ChatGPT to call upstream APIs that existing connectors cannot, by registering credentials and using short-lived gateway tokens relayed through a Cloudflare Workers remote MCP server.

Exposes Coze workflows as MCP tools, allowing AI clients to discover and execute workflows from a specified Coze workspace. It provides a simple way to integrate external skills into platforms like OpenClaw without needing local environment configurations.

Provides Multi-Agent Conversation Protocol access to Google Cloud TPU services, enabling management of Tensor Processing Units through natural language interactions with the Google TPU API.

Enables deploying a remote MCP server on Cloudflare without authentication, allowing connection from AI Playground or Claude Desktop via SSE.

This MCP server enables AI agents to interact with recruitment platforms like BOSS直聘, 猎聘, and Moka through a Chrome extension via WebSocket. It provides tools to detect platforms, fetch candidate lists, and test extension connectivity.

An MCP (Multi-Agent Conversation Protocol) Server that provides a standardized interface for interacting with Google's Cloud Vision API, enabling AI agents to analyze images and extract visual information through natural language.

Provides tools and integration for building OpenAI API agents, including function calling and fine-tuning data management.