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Cmc Mcp

Organization
OpenCMC
cmc-mcp

Fetches cryptocurrency market data, prices, technical analysis, news, and trends using the CoinMarketCap MCP. Use for ANY question involving cryptocurrencies, tokens, or blockchain markets, even if the user doesn't explicitly ask for data. This includes price checks, portfolio questions, market analysis, coin comparisons, holder metrics, technical indicators, and news. Trigger: "bitcoin", "ETH", "crypto", "token price", "market cap", "how is [coin] doing", "/cmc-mcp"

Overview

PublisherOpenCMC
Repositoryskills-for-ai-agents-by-CoinMarketCap
Skill namecmc-mcp
Stars
76
Forks
21
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by OpenCMC on GitHub. Read the source before you install it.

Installation

Install the Cmc Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OpenCMC/skills-for-ai-agents-by-CoinMarketCap/tree/main/skills/cmc-mcp
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OpenCMC/skills-for-ai-agents-by-CoinMarketCap.git /tmp/skills-for-ai-agents-by-CoinMarketCap
mkdir -p .claude/skills
cp -r /tmp/skills-for-ai-agents-by-CoinMarketCap/skills/cmc-mcp .claude/skills/cmc-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cmc Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cmc Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cmc Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CoinMarketCap MCP Skill

You have access to CoinMarketCap data through MCP tools. Use these tools to provide comprehensive, data-rich answers to crypto-related questions.

Prerequisites

Before using CMC tools, verify the MCP connection is working. If tools fail or return connection errors, ask the user to set up the MCP connection:

json
{
  "mcpServers": {
    "cmc-mcp": {
      "url": "https://mcp.coinmarketcap.com/mcp",
      "headers": {
        "X-CMC-MCP-API-KEY": "your-api-key"
      }
    }
  }
}

Get your API key from https://pro.coinmarketcap.com/login

Core Principle

Err on the side of fetching more data. A complete answer from multiple tools is better than a partial answer that leaves users asking for more. When in doubt, call additional tools to gather comprehensive data.

Workflow

1. Always Search First

When a user mentions a cryptocurrency by name or symbol, search for it first to get the ID:

User: "How is Solana doing?"
→ Call search_cryptos with query "solana"
→ Get ID (e.g., 5426)
→ Then call other tools using that ID

Most tools require the numeric CMC ID, not the name or symbol. The search tool returns: id, name, symbol, slug, and rank.

2. Batch Requests When Useful

When dealing with multiple coins, batch the requests:

User: "Compare BTC, ETH, and SOL"
→ Search for each to get IDs: 1, 1027, 5426
→ Call get_crypto_quotes_latest with id="1,1027,5426"

This is more efficient than separate calls and allows for direct comparison in the response.

3. Match Tools to Query Type

For price and market data:

  • get_crypto_quotes_latest returns price, market cap, volume, percent changes (1h, 24h, 7d, 30d, 90d, 1y), circulating supply, and dominance

For coin background and links:

  • get_crypto_info returns description, website, social links, explorer URLs, tags, and launch date

For technical analysis:

  • get_crypto_technical_analysis returns moving averages (SMA, EMA), MACD, RSI, Fibonacci levels, and pivot points

For recent news:

  • get_crypto_latest_news returns headlines, descriptions, content, URLs, and publish dates

For holder and distribution data:

  • get_crypto_metrics returns address counts by holding value, whale vs others distribution, and holder time breakdowns (traders, cruisers, holders)

For concept explanations:

  • search_crypto_info performs semantic search on crypto concepts, whitepapers, and FAQs

For overall market health:

  • get_global_metrics_latest returns total market cap, fear/greed index, altcoin season index, BTC/ETH dominance, volume, and ETF flows

For derivatives and leverage data:

  • get_global_crypto_derivatives_metrics returns open interest, funding rates, liquidations, and futures vs perpetuals breakdown

For total market cap technical analysis:

  • get_crypto_marketcap_technical_analysis returns TA indicators for the entire crypto market cap

For trending themes:

  • trending_crypto_narratives returns hot narratives with market cap, volume, performance, and top coins in each narrative

For upcoming catalysts:

  • get_upcoming_macro_events returns scheduled events like Fed meetings, regulatory deadlines, and major announcements

Error Handling

If search returns no results:

  1. Report that the coin was not found
  2. Ask the user to clarify or check the spelling
  3. Suggest alternatives if the query might be ambiguous

If a tool fails or times out:

  1. Retry once for transient errors
  2. If still failing, note which data is unavailable and proceed with other tools
  3. For price queries, get_crypto_quotes_latest is critical. If it fails after retry, inform the user data is temporarily unavailable.
  4. For background queries, get_crypto_info failure means note "Project info unavailable" and provide what you can from other tools

If rate limited (429 error):

  1. Inform the user the API is rate limited
  2. Suggest waiting a moment before retrying
  3. Consider if fewer tool calls could answer the question

Adapting to User Sophistication

Read context cues from the user's query:

  • Casual questions ("how's bitcoin doing?") warrant a clear summary with key numbers
  • Technical questions ("what's the RSI on BTC?") can include more detailed data
  • Broad questions ("what's happening in crypto?") benefit from market-wide tools like global metrics and trending narratives

Frequently asked questions

What does the Cmc Mcp AI skill do?

Fetches cryptocurrency market data, prices, technical analysis, news, and trends using the CoinMarketCap MCP. Use for ANY question involving cryptocurrencies, tokens, or blockchain markets, even if the user doesn't explicitly ask for data. This includes price checks, portfolio questions, market analysis, coin comparisons, holder metrics, technical indicators, and news. Trigger: "bitcoin", "ETH", "crypto", "token price", "market cap", "how is [coin] doing", "/cmc-mcp"

Why use Cmc Mcp on TypingMind?

Because you install it once and use it with any model. Cmc Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cmc Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenCMC/skills-for-ai-agents-by-CoinMarketCap/tree/main/skills/cmc-mcp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cmc Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cmc Mcp?

As many as you like. As long as a model supports skills, you can use Cmc Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cmc Mcp AI skill free?

Yes. It is published on GitHub by OpenCMC under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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