Discover Awesome MCP Servers

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

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.

mcp-units

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

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

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.

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

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

Enterprise Template Generator

Enables generation of enterprise-grade software templates with built-in GDPR/Swedish compliance validation, workflow automation for platform migrations, and comprehensive template management through domain-driven design principles.

CI MCP Server

Enables AI assistants to manage SAP Cloud Integration (CPI) landscapes through natural language by exposing CPI OData APIs as MCP tools.

Resend MCP Server

Enables sending emails via the Resend API from Claude, with tools for sending, checking delivery status, listing recent emails, and managing domains.

Arkana

An MCP server that provides 294 malware analysis tools behind an AI-driven interface, enabling natural language investigation of binaries.

Storyblok MCP Server

Enables comprehensive management of Storyblok CMS through natural language interactions. Supports story creation and publishing, asset management, component schema updates, release workflows, and content discovery across all major Storyblok APIs.

Test Generator MCP Server

Enables automatic generation of test scenarios from user stories uploaded to Claude desktop. Leverages MCP integration to streamline the test case creation process for development workflows.

claude-session-continuity-mcp

Zero-config session continuity for Claude Code. Automatically captures and restores project context across sessions using Claude Hooks.

MORAGENT AI Agent Studio

Turns Claude Code into an AI Agent Studio with a guided menu and 11 tools to design, create, and manage multi-agent projects without coding.

@theyahia/voximplant-mcp

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

Stamp it

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

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

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

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.

Prompt Bookmarks

Enables users to organize, search, and manage a shared library of prompts across AI tools via the Model Context Protocol. It supports hierarchical folder organization, tagging, and template variable substitution for dynamic prompt generation.

Android Puppeteer

Enables AI agents to interact with Android devices through visual UI element detection and automated interactions. Provides comprehensive Android automation capabilities including touch gestures, text input, screenshots, and video recording via uiautomator2.

mcp-api-tests

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

hive-exp

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

ChatRPG

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

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.

MCP Vaultwarden Server

Enables AI agents and automation scripts to securely interact with self-hosted Vaultwarden instances through the Bitwarden CLI, automatically managing vault sessions and providing tools to read, create, update, and delete secrets programmatically.

MCP Weather Server

A containerized server that provides weather tools for AI assistants, allowing them to access US weather alerts and forecasts through the National Weather Service API.

wheelfor-mcp

Create, spin, and manage shareable decision wheels on wheelfor.com. Supports creating wheels from any list of options, spinning for a random result, and getting a permanent shareable URL — no account required.

rce-cho-mcp

Enables querying the Dutch RCE Cultural Heritage Objects linked data endpoint via SPARQL, with ontology guidance and query validation for safe, accurate results.