CoinCap 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 CoinCap 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 CoinCap "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in CoinCap?"
)
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 CoinCap MCP Server
Connect to CoinCap APIs and access real-time cryptocurrency market data through natural conversation — no API key needed.
Pydantic AI validates every CoinCap tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Asset Prices — Get current prices, market caps, 24h volume and supply info for any cryptocurrency
- Asset Search — Search for crypto by name or symbol (Bitcoin, Ethereum, Solana, etc.)
- Historical Prices — Retrieve price history with configurable intervals (1m to 1d)
- Markets — See which exchanges list specific trading pairs and their 24h volumes
- Exchange Rankings — Browse exchanges ranked by 24h volume with verification status
- OHLCV Candles — Get candlestick data for technical analysis with multiple timeframes
- Exchange Rates — View crypto-to-fiat conversion rates
The CoinCap 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 CoinCap to Pydantic AI via MCP
Follow these steps to integrate the CoinCap 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 CoinCap with type-safe schemas
Why Use Pydantic AI with the CoinCap MCP Server
Pydantic AI provides unique advantages when paired with CoinCap 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 CoinCap integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CoinCap connection logic from agent behavior for testable, maintainable code
CoinCap + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CoinCap MCP Server delivers measurable value.
Type-safe data pipelines: query CoinCap with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CoinCap tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CoinCap and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CoinCap responses and write comprehensive agent tests
CoinCap MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect CoinCap to Pydantic AI via MCP:
get_asset
Returns the current price in USD, market cap, 24h trading volume, price change percentages (1h, 24h, 7d), circulating supply, total supply, max supply and rank. Asset IDs are lowercase with hyphens (e.g. "bitcoin", "ethereum", "solana"). Get detailed info for a specific cryptocurrency
get_asset_history
Returns daily or interval-based price snapshots. Use interval to specify the data granularity: "m1" (1 minute), "m5" (5 min), "m15" (15 min), "m30" (30 min), "h1" (1 hour), "h2" (2 hours), "h6" (6 hours), "h12" (12 hours), "d1" (1 day). Get historical price data for a cryptocurrency
get_candles
Each candle includes the open, high, low, close prices and volume for the time interval. Supports intervals: "m1", "m5", "m15", "m30", "h1", "h2", "h6", "h12", "d1". Optionally set start/end timestamps (milliseconds since epoch) for historical data. Get OHLCV candlestick data for technical analysis
get_exchange
Returns the exchange name, website, 24h volume, number of markets, rank, verification status and supported assets. Exchange IDs are lowercase (e.g. "binance", "coinbase-pro", "kraken"). Get detailed info for a specific cryptocurrency exchange
get_markets
Each market includes the exchange ID, base asset ID, quote asset ID, trading pair symbol, current price, 24h volume in USD and volume percentage. Optionally filter by asset ID or exchange ID. Get trading markets/pairs for assets or exchanges
get_rate
Returns the current rate for converting the asset to its corresponding fiat currency. Base IDs are typically asset IDs like "bitcoin", "ethereum" or fiat codes like "USD". Get a specific exchange rate
get_rates
). Returns the rate ID, symbol, currency symbol and current rate. Optionally filter by base currency. Get exchange rates for cryptocurrencies to fiat currencies
list_assets
Optionally search by name, filter by specific IDs, and paginate with limit/offset. Returns assets sorted by market cap by default. List cryptocurrency assets with prices and market data
list_exchanges
Each exchange includes its ID, name, website, 24h volume in USD, number of markets, rank and whether it's verified. List cryptocurrency exchanges with rankings
Example Prompts for CoinCap in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with CoinCap immediately.
"What is the current price of Bitcoin?"
"Show me the top 5 cryptocurrency exchanges by volume."
"Show me the 1-hour candlestick data for Ethereum."
Troubleshooting CoinCap MCP Server with Pydantic AI
Common issues when connecting CoinCap to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCoinCap + Pydantic AI FAQ
Common questions about integrating CoinCap 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 CoinCap with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 CoinCap to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
