The Graph (Web3 Indexing) MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Get Evm Historical Balances, Get Evm Holders, Get Evm Swaps, and more
GDPR Free for SubscribersPydantic AI brings type-safe agent development to Python with first-class MCP support. Connect The Graph (Web3 Indexing) 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 for Pydantic AI
The The Graph (Web3 Indexing) MCP Server for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 The Graph (Web3 Indexing) "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in The Graph (Web3 Indexing)?"
)
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 The Graph (Web3 Indexing) MCP Server
Connect to The Graph to index and retrieve real-time blockchain data across multiple ecosystems. This MCP server allows your AI agent to query decentralized data from Ethereum, Polygon, Solana, and more through standardized tools and custom GraphQL subgraphs.
Pydantic AI validates every The Graph (Web3 Indexing) 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
- EVM Data Access — Retrieve token transfers, top holders, and DEX swap events (Uniswap, Curve) for any EVM-compatible chain.
- Solana (SVM) Integration — Fetch SPL token transfers, holders, and AMM swaps (Jupiter, Raydium) directly from the Solana network.
- Historical Analysis — Access wallet balance changes in OHLCV format to track portfolio performance over time.
- Custom Subgraph Queries — Execute raw GraphQL queries against any specific subgraph ID for deep, specialized data extraction.
- Market Intelligence — Monitor liquidity pool activities and token distribution metrics without manual block explorer searching.
The The Graph (Web3 Indexing) MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 The Graph (Web3 Indexing) tools available for Pydantic AI
When Pydantic AI connects to The Graph (Web3 Indexing) through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3, ethereum, solana, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get evm historical balances on The Graph (Web3 Indexing)
Get EVM historical balances
Get evm holders on The Graph (Web3 Indexing)
Get EVM token holders
Get evm swaps on The Graph (Web3 Indexing)
) for EVM chains. Get EVM DEX swaps
Get evm transfers on The Graph (Web3 Indexing)
Get EVM token transfers
Get svm holders on The Graph (Web3 Indexing)
Get SVM (Solana) token holders
Get svm swaps on The Graph (Web3 Indexing)
) for Solana. Get SVM (Solana) DEX swaps
Get svm transfers on The Graph (Web3 Indexing)
Get SVM (Solana) token transfers
Query subgraph on The Graph (Web3 Indexing)
Requires THE_GRAPH_API_KEY. Query a subgraph using GraphQL
Connect The Graph (Web3 Indexing) to Pydantic AI via MCP
Follow these steps to wire The Graph (Web3 Indexing) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the The Graph (Web3 Indexing) MCP Server
Pydantic AI provides unique advantages when paired with The Graph (Web3 Indexing) 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 The Graph (Web3 Indexing) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your The Graph (Web3 Indexing) connection logic from agent behavior for testable, maintainable code
The Graph (Web3 Indexing) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the The Graph (Web3 Indexing) MCP Server delivers measurable value.
Type-safe data pipelines: query The Graph (Web3 Indexing) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple The Graph (Web3 Indexing) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query The Graph (Web3 Indexing) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock The Graph (Web3 Indexing) responses and write comprehensive agent tests
Example Prompts for The Graph (Web3 Indexing) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with The Graph (Web3 Indexing) immediately.
"Get the top 10 holders for the EVM token at 0x7fc66500c84a76ad7e9c93437bfc5ac33e2ddae9."
"Show me recent swaps for the Solana token DezXAZ8z7PnrnMcFWRSTQC8PGL9P8be3EFr9SptT5v7."
"Query the Uniswap V3 subgraph with ID 'ELUvFp... ' to get the latest pool prices."
Troubleshooting The Graph (Web3 Indexing) MCP Server with Pydantic AI
Common issues when connecting The Graph (Web3 Indexing) to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiThe Graph (Web3 Indexing) + Pydantic AI FAQ
Common questions about integrating The Graph (Web3 Indexing) 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?
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