`godoc-mcp` is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files.

A template for creating and connecting custom tools to Cursor IDE using Model Context Protocol with support for cheerful server responses.

ATLAS (Adaptive Task & Logic Automation System) is a Model Context Protocol server that provides hierarchical task management capabilities to Large Language Models. This tool provides LLMs with the structure and context needed to manage complex tasks and dependencies.

Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.

Pinecone integration with vector search capabilities

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required.

Both STDIO and SSE transport mechanisms are supported via arguments.

advance mcp server utilizing Perplexity, without the need for an API key

Enables seamless interaction with Figma via the Model Context Protocol, allowing LLM applications to access, manipulate, and track Figma files, components, and variables.

Provides curated documentation access via the Gemini API, enabling users to query and interact with technical docs effectively by overcoming context and search limitations.

A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.

Acts as a bridge between AI models and Google's [PageSpeed Insights API](https://pagespeed.web.dev/), enabling detailed performance analysis of websites.

MCP Server for AI Summarization, Support for multiple content types:
- Plain text
- Web pages
- PDF documents
- EPUB books
- HTML content

This server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.

A Model Context Protocol server to connect to the MIRO Whiteboard Application. Allows Board manipulation, sticky creation, bulk operations and more.

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Connects AI models to the Terraform Registry via MCP, enabling provider lookups, resource usage examples, and module recommendations for streamlined Terraform workflows.

Enables the creation and deployment of API-based MCP tools for Cursor Agent using Cloudflare Workers, streamlining development and integration of custom functionalities.

A Dart-based MCP server implementation that enables AI-assisted task management, document handling, and workspace organization through standardized tools and seamless Dart integration.