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Primus Coinbase $25 MCP Pilot

Enables ChatGPT to manage a dedicated Coinbase Advanced Trade portfolio with four tools: read-only status, preflight verification, validated spot ticket execution (capped at $25), and emergency pause, all under strict risk limits.

Zebbern Kali MCP

A Docker-based MCP server that grants AI agents direct access to a comprehensive Kali Linux penetration testing toolkit through an isolated container environment.

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!

Jira MCP Server

Enables AI assistants to manage Jira issues with full CRUD, transitions, linking, commenting, and file attachments via the Jira REST API v3.

jasswiki-mcp

Provides AI assistants with access to an official, cryptographically attested knowledge base of Swiss Jass (230+ articles on rules, variants, terminology, history, and tactics).

Substack API MCP

Enables AI agents to draft, publish, and schedule posts on Substack, bypassing the lack of an official publishing API.

shopify-multistore-mcp

Enables conversational Admin API read/write across multiple Shopify stores with a production write-gate for safety.

sitecore-personalize-mcp

An MCP server for Sitecore Personalize / CDP that exposes decisioning flows, experiences, audiences, guest profiles, events, and datasets as tools, enabling natural-language management and interaction with Sitecore Personalize.

joongna-mcp

MCP server to search and view details of Joongna (Korean second-hand marketplace) listings, including market price summaries.

dispersl-mcp

Integrates with Dispersl to provide multi-agent orchestration for AI-driven software development, enabling code generation, testing, documentation, git operations, and chat.

io.github.Xvvln/pdf-reader-mcp

A PDF MCP server for extracting text, rendered pages, tables, links, annotations, outlines, metadata, and text statistics from PDF files.

parti-mcp

Renders architectural floor plans and site plans as SVG in blueprint or whiteprint styles, following real drawing conventions with precise geometry.

contract-risk-analyzer

Analyzes financial contract PDFs to extract clauses, flag risk terms, and compare contract versions, producing structured risk briefs for legal and risk teams.

PT5 MCP Server

Enables parsing, analysis, and export of power measurement data from Monsoon Power Monitor PT5 files, including summary statistics, sample retrieval, trend analysis, and CSV export.

mcp-server-Bloom

一个集成了网络爬取功能的模型上下文协议（MCP）服务器实现。

Listmonk MCP Server

An MCP server implementation that enables AI assistants to interact with Listmonk instances, providing programmatic access to newsletter and mailing list management functionality including subscriber, list, and campaign operations.

Monimo PoC FastMCP Server

Provides domain mock tools (81) and skill VDB search/load/run tools for a Monimo AI Agent, enabling semantic skill retrieval and mock domain operations via streamable HTTP MCP.

FinanceMarker MCP Server

MCP server for integrating FinanceMarker.ru with LLM agents, IDEs, n8n, and other MCP-compatible clients. It proxies the FinanceMarker REST API and exposes it as a set of MCP tools.

troubleshooting-mcp-server

A comprehensive MCP server that provides system troubleshooting and diagnostic tools, enabling LLMs to diagnose system issues, monitor resources, check logs, and test connectivity.

Storyblok MCP

Enables to manage Storyblok components through natural language descriptions, including creating and updating components with various field types.

screenshot-vision-mcp

An MCP server that captures screenshots of URLs or local app windows and analyzes them with a local Ollama vision model, enabling Claude to visually inspect web pages and desktop applications without sending image data externally.

better-code-review-graph

Knowledge graph for token-efficient code reviews. Builds a structural map of your codebase with Tree-sitter, tracks changes incrementally, and gives AI agents precise context via MCP tools. Features fixed multi-word search, qualified call resolution, dual-mode embedding (ONNX local + LiteLLM cloud), and output pagination.

SMILES Visualizer MCP Server

Enables molecular visualization and analysis from SMILES strings using multiple rendering approaches (RDKit, NetworkX, Plotly, matplotlib), providing detailed molecular properties, validation, and batch processing capabilities for chemical structures.

mcp_odoo_fresh

Enables AI agents to interact with Odoo ERP to perform sales tasks such as searching clients and products, and creating and confirming quotations via the MCP protocol.

Memory MCP

An advanced cognitive memory agent for AI chatbots that provides long-term, autonomous memory using a four-agent system for monitoring, extraction, reconciliation, and consolidation.

Skillroute MCP

Provides AI agents with a structured library of engineering skills, best practices, and playbooks for software development.

AlienSec MCP Server

Enables AI agents to perform endpoint security scanning using AlienVault OTX and VirusTotal, including multi-platform scans, threat intelligence queries, and scan data persistence.

arxiv-query-mcp

Enables AI assistants to search arXiv papers, retrieve metadata, browse categories, and read paper text.

tuiml

TuiML is an agent-native ML runtime that lets you install, connect to your AI agent, and run real ML workflows—classification, regression, clustering, experiments—from one structured interface.

MCP-SST

Enables monitoring and control of the SST development process by streaming dev logs, managing Lambda invocations, and executing lifecycle commands like start, stop, and restart. It provides real-time access to event streams and deployment status directly through the Model Context Protocol.