How to Use the Guru MCP in Pydantic AI

Q: Can I list my Guru boards in Pydantic AI?

Yes. Use listknowledgeboards to retrieve your current board structure and feed it into your agent's decision-making process.

Build type-safe knowledge agents for Pydantic AI with the Guru MCP server.

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Connect Guru MCP to Pydantic AI

Create your Vinkius account to connect Guru to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Guru with Pydantic AI

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Type-safe knowledge search for Pydantic AI

Every response from the server is validated against your Pydantic models. Use `search_knowledge_base` to get data that matches your expected schema. If the API returns unexpected fields, your agent fails immediately. This stops corrupted data from entering your Pydantic AI logic.

Manage cards with Pydantic AI type safety

Create and update cards with full confidence. The `create_knowledge_card` tool works perfectly with your typed agents. Your application logic stays clean. You define the model, and the server ensures your agent sticks to it when writing to Guru.

Check your Guru connection via Pydantic AI

Use `verify_api_connection` as a pre-flight check in your agent startup. It confirms the server is reachable and your token is valid. It prevents silent failures in your Pydantic AI workflows. You catch connectivity issues before your agent even tries to process a query.

Setup guide

Set up Guru MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "guru-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Guru tools.",
)

result = await agent.run("List recent Guru transactions")
print(result.output)

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Common questions about Guru MCP in Pydantic AI

Install the MCP tools, add the URL to your toolset, and use `search_knowledge_base` to query your cards. Pydantic handles the response validation.

It is. The type-safe nature of Pydantic AI ensures that every piece of information coming from Guru matches your internal logic.

Yes. Use `list_knowledge_boards` to retrieve your current board structure and feed it into your agent's decision-making process.

The server throws an error that your agent catches. You can then use `verify_api_connection` to diagnose if it is a network or auth issue.

It keeps your knowledge cards isolated. We only ever handle the specific card text and metadata required for the tool calls your agent initiates.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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