Discover Awesome MCP Servers

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LicenseSpring MCP Server

LicenseSpring MCP Server

An MCP server implementation that integrates with LicenseSpring APIs, providing comprehensive license management and customer operations capabilities.

MCP Weather Server

MCP Weather Server

Enables AI agents to access real-time and historical weather data through multiple weather APIs including OpenMeteo, Tomorrow.io, and OpenWeatherMap. Provides comprehensive meteorological information including current conditions, forecasts, historical data, and weather alerts.

revolut mcp pulse

revolut mcp pulse

mcprice ⚡ MCP Server for real-time stock & crypto prices in Claude Desktop / Cursor. Stocks → Yahoo Finance (no API key needed) Crypto → Binance Public API (no API key needed) Companion to: revolut-pulse (insider trades)

mcpGraph

mcpGraph

Enables orchestration of MCP tool calls through declarative YAML-defined directed graphs with data transformation, conditional routing, and observable execution flows.

visualcrossing

visualcrossing

Provides access to Visual Crossing Weather Timeline API for weather data retrieval via natural language queries.

testit-mcp-server

testit-mcp-server

Enables interaction with TestIT test management platform, allowing management of projects, work items, test runs, test plans, and analytics.

MATLAB MCP Server

MATLAB MCP Server

A Model Context Protocol (MCP) server that enables seamless integration between MATLAB and MCP-compatible applications like Claude Code. Execute MATLAB code, manage workspace variables, create plots, handle data I/O, and more - all through a token-efficient MCP interface.

mcp-tableau

mcp-tableau

MCP server that automates the publishing and validation of Tableau workbooks and data sources on Tableau Server or Tableau Cloud, enabling an AI agent to discover, build, validate, and publish content without human intervention.

MCP Weather Project

MCP Weather Project

An MCP server that provides real-time weather alerts for US states using the National Weather Service (NWS) API. It also includes utility features for message echoing and generating customizable greeting prompts.

Claude Conversation Memory System

Claude Conversation Memory System

An MCP server that provides searchable local storage for Claude conversation history, featuring automatic topic extraction and weekly insight summaries. It enables Claude to retrieve context from past sessions through full-text search and organized file storage.

Terminal Controller MCP Server

Terminal Controller MCP Server

Enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.

mcp-units

mcp-units

MCP server for converting cooking measurements (volume, weight, temperature) between common units like ml, cup, g, oz, and Celsius/Fahrenheit.

MCP-Discord

MCP-Discord

Enables AI assistants to interact with Discord servers through a bot, supporting channel management, messaging, forum operations, reactions, and webhooks.

MCP Document Indexer

MCP Document Indexer

Enables real-time indexing and semantic search of local documents (PDF, Word, text, Markdown, RTF) using vector embeddings and local LLMs. Monitors folders for changes and provides natural language search capabilities through Claude Desktop integration.

alaya

alaya

Enables Claude Code to serve as the primary interface for a personal knowledge vault (zk or Obsidian), allowing full read, write, search, and synthesis operations on notes.

Flight Finder MCP

Flight Finder MCP

Enables Claude to search and compare flights across multiple providers (Skyscanner, Google Flights, Kiwi.com) with smart caching, parallel queries, and flexible filtering.

PostgreSQL MCP Server

PostgreSQL MCP Server

Enables LLMs to interact deeply with PostgreSQL databases—query data, manage schema, analyze performance, and administer the database.

mcp-api-tests

mcp-api-tests

Starter scaffold for a workshop to build an MCP API testing server, intended to be extended through incremental steps.

hive-exp

hive-exp

An MCP server enabling AI agents to record, query, and share structured problem-solving experiences with human review and confidence decay.

ChatRPG

ChatRPG

A lightweight ChatGPT app that converts your LLM into a Dungeon Master!

FastMCP Demo Server

FastMCP Demo Server

A production-ready MCP server that provides hackathon resources and reusable starter prompts. Built with FastMCP framework and includes comprehensive deployment options for development and production environments.

@theyahia/voximplant-mcp

@theyahia/voximplant-mcp

MCP server for Voximplant API enabling calls, SMS, recordings, scenarios, and rules management with 11 tools and 2 skills.

Stamp it

Stamp it

An MCP server that adds full-screen text or image watermarks to images with intelligent color adaptation and multi-language support.

defined-mcp

defined-mcp

MCP server for managing Defined Networking infrastructure through API tools. It enables network administration including host management, firewall rules, tags, and network configuration with Claude Code integration for interactive network design and auditing.

Web Research MCP

Web Research MCP

Enables AI agents to search the web, fetch pages, and synthesize research through three tools: web_search, fetch_page, and research_topic, all in a single pay-per-use API call.

mcp-ai-voice

mcp-ai-voice

Enables AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.

Better Prompts MCP

Better Prompts MCP

Automatically extracts actionable methodologies from articles and URLs, stores them in a vector database, and retrieves relevant methods to enhance user prompts for more effective AI interactions.

Bocha Search MCP

Bocha Search MCP

Um motor de busca focado em IA que permite que aplicações de IA acessem conhecimento de alta qualidade de bilhões de páginas da web e fontes de conteúdo do ecossistema em vários domínios, incluindo clima, notícias, enciclopédia, informações médicas, passagens de trem e imagens.

Build

Build

Okay, I can help you understand how to use the TypeScript SDK to create different MCP (Model Configuration Protocol) servers. However, I need a little more information to give you the *most* helpful and specific answer. Please tell me: 1. **What MCP server are you trying to create?** Are you trying to create a custom MCP server for a specific game, or are you trying to create a generic MCP server? 2. **What TypeScript SDK are you referring to?** There are many TypeScript SDKs that could be used to create an MCP server. Please provide the name of the SDK or a link to the documentation. 3. **What functionality do you need?** What specific features do you need your MCP server to support? For example, do you need to support authentication, authorization, or data validation? In the meantime, here's a general outline of how you might approach creating an MCP server using TypeScript, assuming you're building a custom server and not using a pre-built SDK (which would have its own specific instructions): **General Approach (Custom Implementation):** 1. **Project Setup:** * Initialize a new TypeScript project: ```bash mkdir my-mcp-server cd my-mcp-server npm init -y npm install typescript --save-dev npm install express body-parser cors --save # Common dependencies for a web server npm install --save-dev @types/node @types/express @types/body-parser @types/cors # Type definitions npx tsc --init # Initialize tsconfig.json ``` * Configure `tsconfig.json`: Adjust settings like `target`, `module`, `outDir`, `rootDir`, `esModuleInterop`, and `strict` to suit your project's needs. A basic example: ```json { "compilerOptions": { "target": "es6", "module": "commonjs", "outDir": "./dist", "rootDir": "./src", "strict": true, "esModuleInterop": true, "skipLibCheck": true, "forceConsistentCasingInFileNames": true }, "include": ["src/**/*"], "exclude": ["node_modules"] } ``` 2. **Define Data Structures (Interfaces/Types):** * Create TypeScript interfaces or types to represent the data structures used in the MCP protocol. This will depend entirely on the specific MCP protocol you're implementing. For example: ```typescript // src/types/mcp.ts export interface ModelConfiguration { modelId: string; version: number; parameters: { [key: string]: any }; } export interface MCPRequest { requestId: string; action: "get" | "set" | "delete"; modelId?: string; configuration?: ModelConfiguration; } export interface MCPResponse { requestId: string; status: "success" | "error"; data?: ModelConfiguration | null; error?: string; } ``` 3. **Implement the Server (using Express.js):** * Create an Express.js server to handle MCP requests. ```typescript // src/index.ts import express, { Request, Response } from 'express'; import bodyParser from 'body-parser'; import cors from 'cors'; import { MCPRequest, MCPResponse, ModelConfiguration } from './types/mcp'; const app = express(); const port = 3000; app.use(cors()); app.use(bodyParser.json()); // In-memory storage (replace with a database in a real application) const modelConfigurations: { [modelId: string]: ModelConfiguration } = {}; app.post('/mcp', (req: Request, res: Response) => { const mcpRequest: MCPRequest = req.body; console.log("Received MCP Request:", mcpRequest); switch (mcpRequest.action) { case "get": if (!mcpRequest.modelId) { sendErrorResponse(res, mcpRequest.requestId, "Model ID is required for 'get' action."); return; } const config = modelConfigurations[mcpRequest.modelId]; if (config) { sendSuccessResponse(res, mcpRequest.requestId, config); } else { sendSuccessResponse(res, mcpRequest.requestId, null); // Model not found } break; case "set": if (!mcpRequest.configuration) { sendErrorResponse(res, mcpRequest.requestId, "Configuration is required for 'set' action."); return; } if (!mcpRequest.configuration.modelId) { sendErrorResponse(res, mcpRequest.requestId, "Model ID is required in the configuration for 'set' action."); return; } modelConfigurations[mcpRequest.configuration.modelId] = mcpRequest.configuration; sendSuccessResponse(res, mcpRequest.requestId, mcpRequest.configuration); break; case "delete": if (!mcpRequest.modelId) { sendErrorResponse(res, mcpRequest.requestId, "Model ID is required for 'delete' action."); return; } delete modelConfigurations[mcpRequest.modelId]; sendSuccessResponse(res, mcpRequest.requestId, null); break; default: sendErrorResponse(res, mcpRequest.requestId, "Invalid action."); } }); function sendSuccessResponse(res: Response, requestId: string, data: ModelConfiguration | null) { const response: MCPResponse = { requestId: requestId, status: "success", data: data, }; res.json(response); } function sendErrorResponse(res: Response, requestId: string, errorMessage: string) { const response: MCPResponse = { requestId: requestId, status: "error", error: errorMessage, }; res.status(400).json(response); } app.listen(port, () => { console.log(`MCP Server listening at http://localhost:${port}`); }); ``` 4. **Implement MCP Logic:** * Implement the core logic for handling MCP requests. This will involve: * Parsing the request. * Validating the request. * Retrieving, updating, or deleting model configurations. * Constructing the response. 5. **Data Storage:** * Choose a data storage mechanism to store model configurations. This could be: * In-memory storage (for simple prototypes). * A file-based database (e.g., SQLite). * A relational database (e.g., PostgreSQL, MySQL). * A NoSQL database (e.g., MongoDB, Redis). 6. **Error Handling:** * Implement robust error handling to gracefully handle invalid requests, data validation errors, and other potential issues. 7. **Authentication and Authorization (if needed):** * If your MCP server needs to be secure, implement authentication and authorization mechanisms to control access to model configurations. 8. **Build and Run:** * Compile the TypeScript code: `npm run build` (or `tsc` if you haven't configured a build script). * Run the server: `node dist/index.js` **Example Request (using `curl`):** ```bash curl -X POST -H "Content-Type: application/json" -d '{ "requestId": "123", "action": "set", "configuration": { "modelId": "myModel", "version": 1, "parameters": { "param1": "value1", "param2": 123 } } }' http://localhost:3000/mcp ``` **Important Considerations:** * **Security:** If your MCP server will be exposed to a network, security is paramount. Use HTTPS, implement authentication and authorization, and carefully validate all input. * **Scalability:** If you anticipate a high volume of requests, consider using a scalable architecture, such as a load balancer and multiple server instances. * **Monitoring:** Implement monitoring to track the health and performance of your MCP server. * **Testing:** Write unit tests and integration tests to ensure that your MCP server is working correctly. **Example `package.json` (with build script):** ```json { "name": "my-mcp-server", "version": "1.0.0", "description": "", "main": "index.js", "scripts": { "build": "tsc", "start": "node dist/index.js", "dev": "ts-node-dev --respawn src/index.ts" }, "keywords": [], "author": "", "license": "ISC", "dependencies": { "body-parser": "^1.20.2", "cors": "^2.8.5", "express": "^4.18.2" }, "devDependencies": { "@types/body-parser": "^1.19.5", "@types/cors": "^2.8.17", "@types/express": "^4.17.21", "@types/node": "^20.10.5", "ts-node-dev": "^2.0.0", "typescript": "^5.3.3" } } ``` **To run this example:** 1. Save the code into the appropriate files (e.g., `src/index.ts`, `src/types/mcp.ts`). 2. Run `npm install` to install dependencies. 3. Run `npm run build` to compile the TypeScript code. 4. Run `npm start` to start the server. **Next Steps:** Provide more details about the specific MCP server you're trying to create, the SDK you're using, and the functionality you need, and I can give you more tailored guidance.

Iris MCP Server

Iris MCP Server

A multi-backend gateway that enables access to various services like Google Drive and Notion through a single MCP connector. It currently provides comprehensive Google Drive integration for reading, writing, and managing files and folders.