CoinMarketCap MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CoinMarketCap through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to CoinMarketCap "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in CoinMarketCap?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About CoinMarketCap MCP Server
Connect your AI to CoinMarketCap, the world's most-referenced crypto price-tracking platform.
Pydantic AI validates every CoinMarketCap tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Market Rankings — List the top cryptocurrencies by market cap, volume, or price change.
- Price Conversion — Convert between hundreds of cryptocurrencies and dozens of fiat currencies.
- API Usage — Check your API key's remaining credits and usage stats.
The CoinMarketCap MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CoinMarketCap to Pydantic AI via MCP
Follow these steps to integrate the CoinMarketCap MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from CoinMarketCap with type-safe schemas
Why Use Pydantic AI with the CoinMarketCap MCP Server
Pydantic AI provides unique advantages when paired with CoinMarketCap through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CoinMarketCap integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CoinMarketCap connection logic from agent behavior for testable, maintainable code
CoinMarketCap + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CoinMarketCap MCP Server delivers measurable value.
Type-safe data pipelines: query CoinMarketCap with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CoinMarketCap tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CoinMarketCap and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CoinMarketCap responses and write comprehensive agent tests
CoinMarketCap MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect CoinMarketCap to Pydantic AI via MCP:
get_global_metrics
Retrieve aggregate market data for the entire cryptocurrency market
get_id_map
Retrieve a mapping of symbols/names to unique CMC IDs
get_key_info
Check your API keys usage, remaining credits, and rate limits
get_metadata
Retrieve static metadata for one or more cryptocurrencies (logo, description, etc.)
get_quotes
Retrieve the latest market quotes for one or more cryptocurrencies
list_exchanges
Retrieve a ranked list of all cryptocurrency exchanges
list_listings
Retrieve a paginated list of all active cryptocurrencies with latest market data
price_conversion
Convert an amount of one currency to another using latest market prices
Example Prompts for CoinMarketCap in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with CoinMarketCap immediately.
"Show me the top 10 cryptocurrencies by market cap."
"Convert 1.5 BTC to EUR."
"Get the historical listing data for Dogecoin launched on CoinMarketCap."
Troubleshooting CoinMarketCap MCP Server with Pydantic AI
Common issues when connecting CoinMarketCap to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCoinMarketCap + Pydantic AI FAQ
Common questions about integrating CoinMarketCap MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect CoinMarketCap with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CoinMarketCap to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.