API Development MCP Servers

Anytype API

39

Provides a comprehensive developer portal to extend and integrate with Anytype's unique offline-first knowledge management system.

Cratedocs

39

Enables LLMs to access Rust crate documentation for improved code understanding and generation.

VRChat

39

Enables interaction with the VRChat API through a Model Context Protocol (MCP) server.

NS Travel Information

39

Connects Claude AI to real-time Dutch Railways (NS) travel information.

Agentek

39

Simplifies complex EVM blockchain interactions into composable, intent-based tools through a type-safe interface.

Mcp-Use

39

Connect LangChain.js-compatible LLMs with MCP servers for building flexible AI agents with dynamic tool access and multi-server support.

Pokemon Demo

39

Demonstrates Model Context Protocol (MCP) integration with Pokemon data through a client, server, and HTTP interface.

Server Box

39

Integrates with the Box API to perform operations such as file search, text extraction, and AI-based querying.

Cursor

38

Enables integration between Claude AI and desktop applications through Cursor IDE, facilitating AI-powered development workflows.

Txtai.java

38

Integrate Java applications with txtai, an AI framework for tasks like semantic search and language model workflows.

Brave Search

38

Integrates the Brave Search API to provide web, image, video, news, and local point-of-interest search capabilities.

VChart

38

Enables AI assistants to generate interactive charts and visualizations from data using the Model Context Protocol.

Dotnet Samples

38

Provides .NET sample code for creating and using Model Context Protocol (MCP) servers and clients.

Mcp-Flowise

38

Integrates Flowise chatflows and assistants into the Model Context Protocol (MCP) ecosystem, enabling dynamic tool registration and simplified configurations.

Timeserver

38

Exposes datetime information to agentic systems and chat REPLs.

Profullstack

38

Provides a generic, modular server framework for implementing and interacting with models through the Model Control Protocol (MCP).

SwiftMCP

38

Enables native API integration for iOS and macOS applications through a JSON-RPC interface and provides an OpenAI-compatible function calling bridge.

Salesforce

38

Enables interaction with Salesforce through its REST API using the Model Context Protocol.

Ls

38

Detects and lists Model Context Protocol (MCP) configurations in the local development environment.

Mocxykit

37

Visualize configurations, manage HTTP(S) proxies, and mock data for frontend development services within webpack and Vite projects.