Discover Awesome MCP Servers

Image-Edit-RMCP

Image Edit RMCP is a powerful Model Context Protocol service that provides OpenAI-like image editing capabilities for text-based models. This Rust-based service enables traditional language models to "see" and process images through comprehensive visual understanding tools. The service offers multi

EnterpriseDB MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for EnterpriseDB (beta): https://www.cdata.com/download/download.aspx?sku=JEZK-V&type=beta

Docfork

A Model Context Protocol (MCP) server that provides daily-refreshed documentation for 9000+ libraries directly in AI code editors, helping developers avoid outdated references and hallucinations.

Machine 2 Machine Protocol

Enables AI agents to autonomously request services from other specialized agents and compensate them via x402 micropayments. Demonstrates a Machine-to-Machine economy using A2A protocol for agent communication, MCP for context management, and blockchain-based payments on Base network.

Claude Code MCP - Agent Orchestration Platform

Orchestrates multiple Claude Code agents across iTerm2 sessions with process-level isolation, enabling collaborative AI development workflows on multiple codebases with task-based inter-agent communication and persistent state management.

Gmail MCP Server

Enables AI assistants to read unread Gmail messages and create properly threaded draft replies through the Gmail API, allowing natural language email management while keeping drafts for manual review before sending.

firefox-devtools-mcp

Firefox browser automation via WebDriver BiDi for testing, scraping, and browser control. Supports snapshot/UID-based interactions, network monitoring, console capture, and screenshots.

Bitrise MCP Server

用于 Bitrise API 的 MCP 服务器，支持应用管理、构建操作、构件管理等功能。

MCP Diagnostics Extension

Exposes VS Code diagnostic problems like errors and warnings in real-time to AI agents via the Model Context Protocol. It enables AI tools to see compilation and linting issues directly from the problems panel to provide context-aware debugging and automated fixes.

GitHub Team Management MCP Server

Enables comprehensive GitHub project management automation including creating/managing issues, updating project boards, assigning team members, and analyzing repository activity across organizations through OAuth-authenticated AI assistants.

GitLab MCP Server

一个 MCP 服务器，能够与 GitLab 仓库进行通信，允许通过自然语言与 GitLab 的 API 交互，从而管理项目、问题和仓库。

iMessage MCP Server

一个本地服务器，使 Claude Desktop 能够与您的 macOS “通讯录”和“信息”应用交互，从而允许您通过自然语言命令搜索联系人并发送 iMessage 信息。

entroly-context-engine

Entroly is a high-performance context engineering engine that optimizes AI coding agent context windows through information-theoretic compression and reinforcement learning. It gives your AI 100% codebase visibility while reducing token consumption by an average of 78%.It's learns fully autonomously.

MCP Generix

Provides semantic search and management of shared documentation using ChromaDB and OpenAI embeddings. It enables users to query local documents by meaning, list files, and read content through natural language tools.

Strudel MCP Server

Enables AI-powered music generation and live coding by providing direct control over Strudel.cc through browser automation. Supports pattern creation, audio analysis, and pattern storage for TidalCycles/Strudel music patterns.

Bloomberg MCP

A MCP server providing financial data from Bloomberg blpapi

Geth MCP Proxy

Bridges Ethereum JSON-RPC queries from Geth nodes to the Model Context Protocol ecosystem, exposing blockchain operations as MCP tools. Enables AI models and applications to securely interact with Ethereum data including blocks, transactions, balances, and advanced debug functions through schema-validated access.

MCP Web Research Agent

Enables automated web research and intelligence gathering through recursive web crawling, multi-engine search integration, and persistent SQLite storage with support for keyword filtering and multiple export formats.

Dodo Payments

The Dodo Payments MCP Server integrates with agentic frameworks to provide a lightweight, serverless-compatible interface for AI-driven payment operations like billing, subscriptions, and customer management. It enables autonomous agents to securely act on behalf of users using the Dodo Payments

Jira MCP Server

Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.

LSP MCP Server

Provides code refactoring capabilities for TypeScript/JavaScript and Python through Language Server Protocol integration. Enables renaming symbols, extracting functions, finding references, and moving code between files via natural language commands.

Filesystem MCP Server SSE

MCP 服务的 SSE 版本是从文件系统 MCP 服务器修改而来的。

OpenBudget MCP Server

Provides access to Israel's OpenBudget API, allowing users to query and search various government budget datasets including budget items, contracts, and support payments.

coin-mcp-server

Okay, here's a breakdown of how to use Bitget's API to get cryptocurrency information, along with considerations and a basic example. I'll provide both the English explanation and the Chinese translation. **English Explanation** **1. Understanding the Bitget API:** * **REST API:** Bitget primarily uses a RESTful API. This means you'll be making HTTP requests (GET, POST, etc.) to specific URLs (endpoints) to retrieve data or perform actions. * **Authentication:** Some endpoints (especially those dealing with your account or trading) require authentication. This involves using API keys (a public key and a secret key) that you generate on the Bitget platform. Keep your secret key *very* safe. * **Rate Limits:** Bitget, like most exchanges, has rate limits. This restricts the number of requests you can make within a certain time period. Exceeding these limits will result in your requests being temporarily blocked. Check the Bitget API documentation for the specific rate limits. * **Documentation:** The *most important* resource is the official Bitget API documentation. Find it on the Bitget website (usually under "API" or "Developer" sections). The documentation will list all available endpoints, required parameters, response formats, and authentication details. **Always refer to the official documentation first.** **2. Basic Steps:** 1. **Get API Keys (if needed):** If you need to access private data (like your account balance or place orders), create API keys on the Bitget website. Enable the necessary permissions (e.g., "Read," "Trade"). 2. **Choose an Endpoint:** Decide what information you want. Examples: * **Market Data:** Get the current price of Bitcoin (BTC), trading volume, order book, etc. * **Account Information:** Get your account balance, order history, etc. (requires authentication). * **Trading:** Place buy/sell orders (requires authentication). 3. **Construct the Request:** Build the HTTP request to the correct endpoint, including any required parameters. This often involves creating a URL with query parameters. 4. **Send the Request:** Use a programming language (Python, JavaScript, etc.) and an HTTP client library (e.g., `requests` in Python, `axios` in JavaScript) to send the request to the Bitget API. 5. **Parse the Response:** The Bitget API will return a response, usually in JSON format. Parse the JSON to extract the data you need. 6. **Handle Errors:** Check the HTTP status code and the response body for any errors. Implement error handling in your code. **3. Example (Python using `requests` - Market Data - Public Endpoint):** ```python import requests import json # Replace with the actual Bitget API endpoint for ticker information (e.g., BTCUSDT) api_url = "https://api.bitget.com/api/spot/v1/ticker/BTCUSDT_SPBL" #Example endpoint, check documentation try: response = requests.get(api_url) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) data = response.json() print(json.dumps(data, indent=4)) # Pretty print the JSON # Example: Extract the last price last_price = data['data']['close'] print(f"Last price of BTCUSDT: {last_price}") except requests.exceptions.RequestException as e: print(f"Error: {e}") except (KeyError, TypeError) as e: print(f"Error parsing JSON: {e}") ``` **Important Notes:** * **Security:** Never hardcode your secret API key directly into your code. Use environment variables or a secure configuration file. * **Error Handling:** Implement robust error handling to catch network errors, API errors, and JSON parsing errors. * **API Versioning:** Bitget may update its API. Pay attention to the API version in the endpoint URL (e.g., `/api/v1/`, `/api/v2/`) and update your code accordingly when necessary. * **Testing:** Thoroughly test your code in a test environment (if Bitget provides one) before using it with real funds. * **Legal:** Be aware of any legal or regulatory requirements related to using cryptocurrency exchange APIs in your jurisdiction. **Chinese Translation** **1. 理解 Bitget API:** * **REST API:** Bitget 主要使用 RESTful API。 这意味着您将向特定的 URL（端点）发出 HTTP 请求（GET、POST 等）以检索数据或执行操作。 * **身份验证:** 某些端点（尤其是处理您的帐户或交易的端点）需要身份验证。 这涉及使用您在 Bitget 平台上生成的 API 密钥（公钥和私钥）。 请 *非常* 安全地保管您的私钥。 * **速率限制:** 像大多数交易所一样，Bitget 具有速率限制。 这限制了您在特定时间段内可以发出的请求数量。 超过这些限制将导致您的请求被暂时阻止。 请查看 Bitget API 文档以获取具体的速率限制。 * **文档:** *最重要* 的资源是官方 Bitget API 文档。 在 Bitget 网站上找到它（通常在“API”或“开发者”部分下）。 该文档将列出所有可用的端点、必需的参数、响应格式和身份验证详细信息。 **始终首先参考官方文档。** **2. 基本步骤:** 1. **获取 API 密钥（如果需要）：** 如果您需要访问私有数据（例如您的帐户余额或下订单），请在 Bitget 网站上创建 API 密钥。 启用必要的权限（例如，“读取”、“交易”）。 2. **选择一个端点:** 确定您想要的信息。 例子： * **市场数据:** 获取比特币 (BTC) 的当前价格、交易量、订单簿等。 * **帐户信息:** 获取您的帐户余额、订单历史记录等（需要身份验证）。 * **交易:** 下买入/卖出订单（需要身份验证）。 3. **构建请求:** 构建到正确端点的 HTTP 请求，包括任何必需的参数。 这通常涉及创建带有查询参数的 URL。 4. **发送请求:** 使用编程语言（Python、JavaScript 等）和 HTTP 客户端库（例如 Python 中的 `requests`，JavaScript 中的 `axios`）将请求发送到 Bitget API。 5. **解析响应:** Bitget API 将返回一个响应，通常为 JSON 格式。 解析 JSON 以提取您需要的数据。 6. **处理错误:** 检查 HTTP 状态代码和响应正文是否有任何错误。 在您的代码中实现错误处理。 **3. 示例（Python 使用 `requests` - 市场数据 - 公共端点）：** ```python import requests import json # 替换为实际的 Bitget API 端点以获取行情信息（例如，BTCUSDT） api_url = "https://api.bitget.com/api/spot/v1/ticker/BTCUSDT_SPBL" #示例端点，请查阅文档 try: response = requests.get(api_url) response.raise_for_status() # 为错误的状态代码（4xx 或 5xx）引发异常 data = response.json() print(json.dumps(data, indent=4)) # 漂亮地打印 JSON # 示例：提取最新价格 last_price = data['data']['close'] print(f"BTCUSDT 的最新价格：{last_price}") except requests.exceptions.RequestException as e: print(f"错误：{e}") except (KeyError, TypeError) as e: print(f"解析 JSON 时出错：{e}") ``` **重要提示:** * **安全:** 永远不要将您的秘密 API 密钥直接硬编码到您的代码中。 使用环境变量或安全配置文件。 * **错误处理:** 实现强大的错误处理以捕获网络错误、API 错误和 JSON 解析错误。 * **API 版本控制:** Bitget 可能会更新其 API。 注意端点 URL 中的 API 版本（例如，`/api/v1/`、`/api/v2/`），并在必要时相应地更新您的代码。 * **测试:** 在将您的代码用于真实资金之前，请在测试环境中彻底测试您的代码（如果 Bitget 提供）。 * **法律:** 请注意您所在司法管辖区与使用加密货币交易所 API 相关的任何法律或监管要求。 **Key Takeaways:** * **Read the Documentation:** The Bitget API documentation is your bible. * **Start Simple:** Begin with public endpoints (no authentication required) to get familiar with the API. * **Handle Errors:** Robust error handling is crucial. * **Security First:** Protect your API keys. I hope this comprehensive explanation and example are helpful! Remember to consult the official Bitget API documentation for the most up-to-date information. Good luck!

NebulaMind

Collaborative astronomy wiki built by AI agents worldwide. Read pages, propose edits, vote on proposals, ask astronomy questions via RAG, and explore the knowledge graph.

Falcosidekick UI MCP Server

Enables querying and analyzing Falco security events from Falcosidekick UI through MCP tools. Supports filtering events by time windows and retrieving full event details for security monitoring and incident investigation.

Carousels MCP from Houtini

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

Vreme Temporal MCP

Provides AI assistants with rich temporal intelligence including timezone conversions, 9 cultural calendars (Hebrew, Islamic, Chinese, etc.), astronomical events, Islamic prayer times, and context-aware activity appropriateness recommendations.

Canvelete MCP Server

Enables programmatic design creation and manipulation on the Canvelete platform through AI assistants. Supports design management, canvas element manipulation, template application, asset management, and real-time synchronization with the design editor.

TypeScript MCP Server Boilerplate

A foundational project for quickly developing Model Context Protocol servers using the TypeScript SDK and Zod for schema validation. It features pre-implemented examples for tools like a calculator and greeting service, along with templates for managing dynamic resources.