spring-ai-mcp-server

APIMCP.dev is a comprehensive platform that bridges REST APIs with AI agents through the Model Context Protocol (MCP). Transform any OpenAPI 3.0+ specification into fully functional MCP servers in under 60 seconds without writing code. The platform makes APIs instantly accessible to Claude Desktop, ChatGPT, Cursor IDE, Windsurf, Cline, Continue, and all MCP-compatible AI assistants. Access a curated directory of 900+ pre-built MCP servers covering popular services like GitHub, OpenAI, Stripe, Slack, Discord, and Twilio, or create custom integrations for your specific APIs. The platform supports multiple authentication methods including Bearer tokens, API keys, OAuth 2.0, Basic Authentication, and custom headers, ensuring secure API credential management. Ideal for developers building AI-powered applications, businesses integrating APIs with AI agents, AI researchers exploring MCP capabilities, and development teams accelerating AI tool integration. Common use cases include rapid prototyping, legacy API modernization, multi-API workflows, and enabling natural language API access through AI assistants. The simple five-step process takes minutes: sign up, create your MCP server, copy the URL, connect to your AI agent, and start using APIs through natural language.

AI image generation using various models

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Enables PowerShell console to function as an MCP server for Claude Desktop.

Loop your agents into environment management, and give them access/context to run tests, tail environment logs, start/stop environments, and debug remote issues.

Execute Python, JavaScript, Bash, and Go code in isolated cloud containers with sub-150ms startup times. Pre-installed data science libraries (pandas, numpy, matplotlib) for AI-powered data analysis and code testing.

Zero-configuration on-demand cloud browser for your agent. Navigate web pages, fill forms, and capture screenshots effortlessly with pay-as-you-go pricing at just $0.10 per hour. Exposes Chrome Devtools MCP interface.

About Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.

An intelligent Model Context Protocol (MCP) server that automatically generates comprehensive unit tests for Angular, React, and Next.js projects using Jest, Karma/Jasmine, or other testing frameworks. Features 🔍 Automatic Project Detection - Detects Angular, React, or Next.js projects and their versions 📦 Framework Management - Checks for testing frameworks and offers automated installation 📚 Live Documentation Fetching - Retrieves latest Jest and Jasmine documentation before generating tests 🤖 LLM-Powered Generation - Uses Claude Sonnet 4.5+ for intelligent test generation 🎯 High Coverage Target - Generates tests targeting >85% code coverage ✅ All Public Methods - Creates tests for all exported functions and public class methods 🔄 Side-by-Side Validation - Displays source and test code for easy review 🛠️ Multiple Frameworks - Supports Jest, Karma/Jasmine, and Vitest

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Retrieving and analyzing issues from Sentry.io

test

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Location services, directions, and place details

Channel management and messaging capabilities

Playwright MCP server

Search the official Redpanda documentation and return the most relevant sections from it for a user query. Each returned section includes the url and its actual content in markdown. Use this tool for all queries that require Redpanda knowledge. Results are ordered by relevance, with the most relevant result returned first. Returns up to 5 results by default to manage token usage. Use top_k parameter (1-15) to request more or fewer results.

高德地图官方 MCP Server