This project implements an MCP server for the Notion API, allowing access to and operation of Notion content through the model context protocol, supporting functions such as searching, commenting, and adding pages.

PG-MCP is a model context protocol server designed for PostgreSQL databases, providing APIs for AI agents to discover, connect, query, and understand databases. It supports multi - database connection, rich catalog information, and query explanation functions.

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

The DeepSeek MCP server project provides anonymous API proxy services for applications such as Claude Desktop, supporting multi-turn conversations and automatic model switching.

The DeepSeek MCP Server is a model context protocol server designed for the DeepSeek API, supporting seamless integration with MCP-compatible applications such as Claude Desktop, providing anonymous API access and intelligent conversation management.

Lokka is a server based on the Model - Context - Protocol (MCP) for querying and managing Azure and Microsoft 365 tenants by operating Microsoft Graph and Azure RM APIs through natural language.

HiMarket is an out-of-the-box enterprise-level AI open platform solution that provides three core components: a management backend, a developer portal, and an AI gateway. It supports packaging AI capabilities such as model services and MCP Server into standardized API products and publishing them.

mcp-client-go is a Golang client library for interacting with Model Context Protocol (MCP) services. It supports multiple services such as Amap and Github and provides a unified API interface.

A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

A Model Context Protocol (MCP) server implemented for Notion integration, providing standardized interfaces to interact with the Notion API and being compatible with MCP clients such as Claude Desktop.

The Figma MCP Server is a middleware based on the Model Context Protocol (MCP), providing Figma API integration services for clients such as Claude, and supporting design system management and file operations.

GhidrAssistMCP is a powerful Ghidra extension that enables AI assistants and other tools to interact with Ghidra's reverse engineering capabilities through a standardized API by implementing a Model Context Protocol (MCP) server.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

The Notion MCP Server is a server implementation based on the Model Context Protocol (MCP) that allows AI assistants to interact with the Notion API through natural language, providing a complete set of tools and endpoints to read, create, and modify Notion content.

The JFrog MCP Server is an experimental project that provides model context protocol services for the JFrog platform API, supporting functions such as repository management, build tracking, and release lifecycle management.

The Alpaca MCP server is a model context protocol (MCP) service that implements the Alpaca trading API, allowing large language models to interact with the Alpaca trading system through natural language, supporting stock/options trading, portfolio management, and real-time market data acquisition.

The Razorpay MCP Server is an official payment integration service that provides seamless docking with the Razorpay API through the Model Context Protocol (MCP), supporting multiple payment tools and automated processes.

EasyMCP is a TypeScript library that simplifies the development of Model Context Protocol (MCP) servers. It provides a concise API and experimental decorator support, automatically handling type inference and template configuration.

Cryo MCP is a model completion protocol server based on the Cryo blockchain data extraction tool, which provides the ability to access blockchain data via API and supports SQL queries and output in multiple data formats.

The MCP Browser Proxy is a powerful integration of the Model Context Protocol, providing autonomous browser automation capabilities for Claude Desktop and supporting functions such as navigation, screenshot, DOM interaction, JavaScript execution, and API requests.

The SendGrid MCP Server is a Model Context Protocol service that provides access to SendGrid's marketing API, supporting email marketing and contact management functions, including operations such as contact management, list management, email sending, and template management.

The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

The Kong Konnect MCP Server is a model context protocol service for interacting with the Kong Konnect API, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and statistics.

The Terrakube MCP Server is a Model Context Protocol server for managing Terrakube operations, providing comprehensive API integration for workspace, variable, module, and organization management.

Claude local semantic code search tool that uses the EmbeddingGemma model to achieve fully offline intelligent multi - language code search. Integrates with Claude Code through the MCP protocol, protects privacy, and does not require an API key.

HAProxy MCP Server is an HAProxy model context protocol server implemented in Go language. Through the HAProxy runtime API and the mcp-go library, it provides a standardized HAProxy management interface for large language models, supporting natural language interaction for load balancer management, monitoring, and traffic analysis.

The DB Timetable MCP Server is a Model Context Protocol server based on the Deutsche Bahn timetable API, providing tools and resources for accessing train timetables, station information, and change data.

mcp-flowise is a Python package that implements a Model Context Protocol (MCP) server integrated with the Flowise API. It supports both dynamic tool registration and static configuration modes and is suitable for the integration of Flowise chat flows or assistants.

oatpp-mcp is an implementation of Anthropic's Model Context Protocol (MCP) based on the Oat++ framework, supporting auto-generated API tools, STDIO and HTTP SSE transmission methods, as well as server functions such as prompts, resources, and tools.

The DeepWriter MCP Server is a server based on the Model Context Protocol standard, used to interact with the DeepWriter API, providing functions such as project management and content generation, and supporting integration with MCP - compatible AI assistants like Claude.

MCP Linear is a Model Context Protocol server that implements the Linear GraphQL API, enabling AI assistants to interact with the Linear project management tool.

The Infisical Model Context Protocol (MCP) is a service protocol that integrates with the Infisical API through function calls. It supports multiple tool operations such as creating, deleting, and updating keys, and provides a debugging tool called MCP Inspector.

The ScrapeGraph MCP Server is a production - ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to leverage advanced AI - driven web scraping capabilities.

DINO-X MCP is a project that enables large language models to perform fine-grained object detection and image understanding through DINO-X and Grounding DINO 1.6 API. It can achieve precise object positioning, counting, attribute analysis, and scene understanding, and supports natural language-driven visual tasks and workflow integration.

WebMCP is a project that allows websites to support client-side LLMs (Large Language Models). It enables the sharing of tools, resources, and prompts between websites and LLMs through a local WebSocket server without the need for API keys and supports multiple models.