CoinMarketCal MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CoinMarketCal through the 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 CoinMarketCal "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in CoinMarketCal?"
)
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 CoinMarketCal MCP Server
Connect your AI to CoinMarketCal, the leading economic calendar for the crypto market.
Pydantic AI validates every CoinMarketCal tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through the 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
- Event Search — Find upcoming events for specific coins like Bitcoin, Ethereum, or any altcoin.
- Trending Events — List the most popular and community-voted events happening soon.
- Category Filtering — Filter by event type: exchange listings, hard forks, AMAs, conferences, roadmap milestones, and more.
The CoinMarketCal MCP Server exposes 9 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 CoinMarketCal to Pydantic AI via MCP
Follow these steps to integrate the CoinMarketCal 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 9 tools from CoinMarketCal with type-safe schemas
Why Use Pydantic AI with the CoinMarketCal MCP Server
Pydantic AI provides unique advantages when paired with CoinMarketCal 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 CoinMarketCal integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CoinMarketCal connection logic from agent behavior for testable, maintainable code
CoinMarketCal + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CoinMarketCal MCP Server delivers measurable value.
Type-safe data pipelines: query CoinMarketCal with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CoinMarketCal tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CoinMarketCal and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CoinMarketCal responses and write comprehensive agent tests
CoinMarketCal MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect CoinMarketCal to Pydantic AI via MCP:
get_coin_id
Find the CoinMarketCal ID for a coin by its name or symbol
get_event_details
Retrieve detailed information about a specific event by its ID
list_categories
Retrieve the list of event categories (e.g., Roadmap, Release)
list_coins
Retrieve the list of coins supported by CoinMarketCal
list_events
Retrieve a list of cryptocurrency events from the calendar
list_popular_events
Retrieve the most popular cryptocurrency events
list_trending_events
Retrieve the most trending cryptocurrency events
search_events_by_coin
Find events related to specific cryptocurrencies
search_events_by_date
Find events within a specific date range
Example Prompts for CoinMarketCal in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with CoinMarketCal immediately.
"Show me upcoming events for Bitcoin."
"Show me upcoming exchange listings."
"List trending events happening this week."
Troubleshooting CoinMarketCal MCP Server with Pydantic AI
Common issues when connecting CoinMarketCal to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCoinMarketCal + Pydantic AI FAQ
Common questions about integrating CoinMarketCal 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 CoinMarketCal 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 CoinMarketCal to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.