ccxt-mcp
CCXT MCP Server bridges the gap between AI models and cryptocurrency trading by providing a standardized interface through the Model Context Protocol.
Install / Use
claude mcp add Obinox04 -- npx -y github:Obinox04/ccxt-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of ccxt-mcp
ccxt-mcp scores 55/100 on our quality scale, 1580th of 1,995 Development & Engineering skills we index.
Its MCP Server is 2.3 KB long, well organised into 9 sections and no code examples: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 1.5 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-09-12 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
ccxt-mcp compared with similar skills
All 4 of these similar skills score higher than ccxt-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ccxt-mcp (this skill)by Obinox04 | 55 | 3 | 18mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 85.5k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.8k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.3k | 1d ago | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.1k | today | CLAUDE.md |
Frequently asked questions
- How do I install ccxt-mcp?
- Run
claude mcp add Obinox04 -- npx -y github:Obinox04/ccxt-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does ccxt-mcp work with?
- It is written for Claude Code, Claude Desktop and Zed, as a MCP Server file. Other agents that read the same format can often use it too.
- Is ccxt-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is ccxt-mcp still maintained?
- The repository was last updated about 1.5 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubCCXT MCP Server: Empowering AI Trading Strategies
Welcome to the CCXT MCP Server GitHub repository! This tool bridges the gap between AI models and cryptocurrency trading by offering a standardized interface through the Model Context Protocol (MCP). Designed to empower automated trading strategies, the CCXT MCP Server allows AI assistants like Claude and GPT to seamlessly interact with over 100 cryptocurrency exchanges without the need for users to write complex code.
🤖 Repository Overview
About CCXT MCP Server
The CCXT MCP Server is a revolutionary tool that streamlines the integration of AI models with cryptocurrency trading platforms. By utilizing the Model Context Protocol, this server simplifies the process of executing trades and analyzing market data, enabling users to implement sophisticated trading strategies with ease.
Key Features
- Seamless integration with over 100 cryptocurrency exchanges
- Standardized interface for AI models to interact with trading platforms
- Empowers automated trading strategies without the need for manual coding
- Enables AI assistants like Claude and GPT to make informed trading decisions
- Fast and reliable communication between AI models and trading platforms
📚 Repository Details
Repository Name
ccxt-mcp
Short Description
The CCXT MCP Server empowers AI trading strategies by providing a standardized interface through the Model Context Protocol. This tool allows AI models to interact with over 100 cryptocurrency exchanges, enabling automated trading without complex coding requirements.
Topics
- ai-trading
- automated-trading
- ccxt
- claude
- claude-integration
- mcp
- mcp-server
- model-context-protocol
- trading
- trading-bot
🚀 Latest Release
To download and execute the latest release of the CCXT MCP Server, simply click the button above. This will take you to the releases section where you can access the most up-to-date version of the tool.
By leveraging the CCXT MCP Server, you can revolutionize your AI trading strategies and unlock the full potential of automated trading in the cryptocurrency market. Visit the official repository to learn more and start optimizing your trading experience today!
Related Skills
Agent-Reach
85.5kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
73.8kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.3k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CowAgent
47.1kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.