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.

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.

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 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).

Rememberizer's MCP server provides the ability to interact with document and knowledge management APIs for large language models

An MCP server application built on the Apache Superset REST API, enabling database query operations through large models

Didlogic MCP Server is a model context protocol server that implements the Didlogic API, providing a standardized interface for large language models to access Didlogic services, including balance management, SIP account management, call record query, and other functions.

HAL is an MCP server that provides HTTP API capabilities for large language models, supporting network requests through a secure interface and automatic generation of tools from OpenAPI specifications.

The Excalidraw MCP Server is an integration tool that provides a drawing API for large language models, supporting the creation, modification, and management of Excalidraw charts, including element control, resource management, and team collaboration functions.

An MCP server application built on the Apache Superset REST API, implementing database query functions through large models

The APISIX MCP Server is a tool that bridges large language models and the APISIX Admin API, supporting the management of APISIX resources through natural - language interaction.

The Didlogic MCP Server is a service that implements the Model Context Protocol (MCP), providing a standardized interface for large language models (LLMs) to interact with the Didlogic API, and supporting multiple functions such as balance management and SIP account management.

An MCP server that provides OpenAPI specification interaction services for large language models, supporting loading, exploring, and querying API structures

HAL is an MCP server that provides HTTP API capabilities for large language models, supporting network requests through a secure interface and automatic generation of tools from OpenAPI specifications.

The API-MARKET MCP Server is a model context protocol server that exposes over 200 API endpoints from API-Market as MCP resources, enabling large language models to discover and interact with them through the MCP protocol.

This project converts the National Institute of Korean Language Standard Korean Dictionary API into an MCP protocol server, enabling large - language models to access and utilize Korean dictionary information.

The Ollama MCP Server is a bridge tool that connects the local large language models of Ollama and the Model Context Protocol (MCP). It provides complete API integration, model management, and execution functions, and supports OpenAI - compatible chat interfaces and visual multimodal models.

Implementation of the Feishu MCP Server, providing the ability for large AI models to interact with the Feishu API, mainly supporting bitable operations.

File Context MCP is a TypeScript-based application that provides an API to query large language models (LLMs) through local file content. It supports multiple LLM providers (Ollama and Together.ai) and can process multiple file types to generate context-aware responses.

The Kagi MCP Server is a tool that integrates Kagi's search and summarization APIs, providing web search and content summarization functions for large - language models, and supporting multiple communication protocols and API key management.

This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.

A Python-based MCP server implementation that interacts with Notehub projects, devices, and data through the Blues Notehub API and official SDK, providing a standardized external tool integration interface for large language models.

A server that converts traditional Web APIs into MCP tools, supporting batch API registration and request header management, simplifying the docking between business systems and large models.

An MCP server based on Go language that uses OpenAI's DALL-E API to generate images from text descriptions and can be integrated with large language models such as Claude.

The GeoServer MCP Server is a server - side implementation of the Model Context Protocol (MCP) that connects large language models (LLMs) with the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.

The EOSC Data Commons MCP Server provides an HTTP interface to help users find the required datasets and tools through a search API and large language models.

The ZBD MCP Server is a deprecated Bitcoin payment service used to add Bitcoin payment functionality to LLMs (Large Language Models). The project is developed based on the TypeScript SDK, supports handling Bitcoin Lightning Network payments through the ZBD API, and provides various payment tools and functions. Users need to migrate to the new MCP Server implementation.

Deep Research MCP is a server project based on the Model Context Protocol (MCP), aiming to conduct comprehensive network research through Tavily's search and crawl APIs and integrate the data into structured Markdown documents to support high - quality content generation for large - language models (LLMs).

A server that exposes OpenAPI endpoints as MCP resources, enabling large language models to discover and interact with REST APIs through the MCP protocol

The Meta API MCP Server is a multi - API gateway server that connects various APIs with large - language models (such as Claude, GPT, etc.) through the Model Context Protocol (MCP), enabling AI assistants to directly interact with APIs and access real data sources. It supports quickly adding APIs from JSON configuration files or Postman collections, and provides comprehensive support for HTTP methods and multiple authentication methods.

The Firelinks MCP Server is an API gateway based on the Model Context Protocol, allowing large - language models to interact with the Firelinks short - link platform through a standardized protocol, providing functions such as link management, statistical analysis, and domain management

The OLS MCP Server is a tool that provides ontology query services for large - language models. By connecting to the EBI Ontology Query Service API, it helps AI assistants accurately obtain ontology terms, concepts, and hierarchical structures in the biomedical field.

This project implements a server based on the MCP protocol for querying the French legal database via the Legifrance API, supporting integration with large language models such as Claude and providing search functions for legal provisions, codes, and precedents.

The API-MARKET MCP Server is a model context protocol server that exposes over 200 API endpoints on API-Market as MCP resources, enabling large language models to discover and interact with these APIs through the MCP protocol.

This project is a Bitcoin price data tool that connects to the Binance API, providing real-time and historical market query functions and supporting a standardized interface for large language models to call.

An AI research assistant tool based on Node.js and the Gemini API. It uses Firecrawl for web data scraping, leverages the Gemini large - model for in - depth language understanding and report generation, supports iterative in - depth research, and can be integrated with the MCP protocol.

An MCP server based on the Google Custom Search API, providing a standardized web search interface for large language models

The Azure Impact Reporter MCP Server is a tool that enables large language models (LLMs) to automatically report resource issues to Azure. It processes user requests through natural language, automatically authenticates Azure accounts, and submits resource impact reports via the management API.

An experimental MCP server project for interacting with the Nutanix Prism Central API through large language models