How to Use the Attio MCP in Pydantic AI

Q: Attio Pydantic AI agent setup

Install pydantic-ai-slimmcp. Create an MCPToolset with your Vinkius HTTP endpoint, then pass it to the toolsets list when initializing your Agent.

Q: Attio fuzzy search Pydantic AI

The agent calls searchrecords to perform global text searches across your workspace. It maps the returned IDs back to your Pydantic models.

Q: Query specific workspace records

Call queryrecords with your filter parameters. The MCP tools fetch matching entries and return them for strict validation.

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Setup Attio with Pydantic AI

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Claude

Perplexity

Type-safe MCP Server interactions

LLMs hallucinate fields. It happens. When your agent calls `get_record` to fetch a CRM entry, Pydantic AI intercepts the response. It validates the incoming JSON against your defined models before your application logic ever sees it. If the API returns something unexpected, the framework fails loudly with a validation error. You never end up with a null pointer or a missing deal stage. The agent knows exactly what went wrong and can retry the request or surface the error.

Dynamic CRM mapping

Your workspace structure changes over time. Instead of hardcoding tables, your agent runs `list_objects` to see what is currently available. It then follows up with `list_attributes` to pull the exact column definitions for those tables. This dynamic mapping feeds directly into the model-agnostic engine. Whether you run Claude, Gemini, or a local model, the agent understands the schema. It uses `get_object` to grab specific metadata and adjust its queries accordingly.

Strict record modifications

Pushing data back to the CRM demands precision. When the agent wants to update a contact, it prepares the payload and calls `assert_record`. This upsert operation ensures you do not create duplicate entries if the record already exists. Creating net-new entries relies on `create_record`. The agent formats the request, and Vinkius handles the authentication. You verify the workspace connection beforehand by running `get_account_check`.

Setup guide

Set up Attio 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": {
        "attio-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Attio MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Create an `MCPToolset` with your Vinkius HTTP endpoint, then pass it to the `toolsets` list when initializing your Agent.

Runtime validation prevents bad data from entering your system. If the agent tries to push a string into a number field, the framework catches it immediately.

The agent calls `search_records` to perform global text searches across your workspace. It maps the returned IDs back to your Pydantic models.

Call `query_records` with your filter parameters. The MCP tools fetch matching entries and return them for strict validation.

Your revenue numbers and pipeline stages pass through a stateless V8 sandbox. Vinkius handles the authentication via a single endpoint token, executes the code, and wipes the memory clean immediately after.

Use it with your favorite AI tools

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

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