Covalent MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Covalent 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 Covalent "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Covalent?"
)
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 Covalent MCP Server
Integrate Covalent, the unified API for blockchain data, directly into your AI workflow. Access real-time and historical data across Ethereum, Polygon, Binance Smart Chain, and over 100 other supported networks using natural language.
Pydantic AI validates every Covalent tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Wallet Insights — Retrieve token balances, historical portfolio values, and transaction history for any wallet address.
- NFT Discovery — List NFT balances and metadata across supported chains.
- Transaction Auditing — Get full details and log events for specific transaction hashes.
- Network Monitoring — Check block details and monitor supported chain statuses.
The Covalent MCP Server exposes 10 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 Covalent to Pydantic AI via MCP
Follow these steps to integrate the Covalent 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 10 tools from Covalent with type-safe schemas
Why Use Pydantic AI with the Covalent MCP Server
Pydantic AI provides unique advantages when paired with Covalent 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 Covalent integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Covalent connection logic from agent behavior for testable, maintainable code
Covalent + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Covalent MCP Server delivers measurable value.
Type-safe data pipelines: query Covalent with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Covalent tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Covalent and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Covalent responses and write comprehensive agent tests
Covalent MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Covalent to Pydantic AI via MCP:
get_block_details
Resolves block hashes, parent hashes, timestamps, and transaction counts for the specified chain. Get details for a specific block height
get_chains_status
Resolves block height lag, current sync status, and API availability across all supported networks. Get the current indexing status of all supported chains
get_dex_pools
Resolves liquidity pool addresses, token pairs, reserve amounts, and volume metrics for the specified DEX. List liquidity pools for a DEX on a specific chain
get_historical_portfolio
Resolves daily balances, asset valuations in USD, and historical price points for the specified wallet. Get historical daily portfolio value for a wallet address
get_nft_balances
Resolves NFT contract names, token IDs, metadata URLs, and image links across the specified blockchain network. Get NFT balances for a wallet address
get_token_balances
Resolves contract addresses, ticker symbols, token decimals, and current balances (formatted and raw) for the specified wallet and chain. Get token balances for a wallet address on a specific chain
get_token_transfers
Resolves sender/receiver addresses, transfer values, and transaction timestamps for the specified wallet. Get historical token transfers for a wallet address
get_transaction_details
Touches raw log events, decoded event parameters, and gas consumption metrics boundary. Get full details and logs for a specific transaction hash
get_transactions
Resolves transaction hashes, block heights, timestamps, and log events for the specified wallet on the given chain. Get transaction history for a wallet address
list_supported_chains
Resolves chain IDs, human-readable names, and supported features (NFTs, Dex, etc.) for each blockchain. List all blockchains supported by Covalent
Example Prompts for Covalent in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Covalent immediately.
"Show me the token balances for address '0x123...' on eth-mainnet."
"List the last 10 transactions for address '0x123...' on matic-mainnet."
"What are the NFT holdings for wallet '0x123...' on eth-mainnet?"
Troubleshooting Covalent MCP Server with Pydantic AI
Common issues when connecting Covalent to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCovalent + Pydantic AI FAQ
Common questions about integrating Covalent 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 Covalent 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 Covalent to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.