How to Use the KnowFirst MCP in Pydantic AI

Q: How does Pydantic AI handle schema validation for KnowFirst MCP Server tools?

The framework inspects the schemas of tools like getentityconnections and validates the agent's inputs and outputs at runtime.

Q: Can I run raw custom queries on KnowFirst with Pydantic AI?

Yes. The agent uses querycustomintelligence with validated parameters to run custom analytics safely.

Q: What happens if a KnowFirst MCP API call fails?

You can check checkknowfirstapistatus first. If a call fails or returns bad data, Pydantic AI throws a validation error.

Run type-safe market intelligence pipelines by connecting Pydantic AI with KnowFirst.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect KnowFirst MCP to Pydantic AI

Create your Vinkius account to connect KnowFirst 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.

GDPR Free for Subscribers

Setup KnowFirst with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Enforce type safety on KnowFirst entity profiles

Fetch validated structures using `get_entity_profile` without worrying about messy API responses breaking your code. When your agent calls `list_entity_data_points`, Pydantic AI validates the structure at runtime. If the data schema changes unexpectedly, the framework raises a validation error immediately. You get clean, typed data structures instead of silent failures or corrupted data tables.

Validate historical changes using this MCP Server

Run `audit_entity_changes` to pull historical logs and track corporate shifts with strict type boundaries. Your agent verifies that every timestamp and change record conforms to your Pydantic schemas. This MCP Server provides structured outputs that map directly to Python types. Your agent can confidently process complex history logs without hallucinating fields that don't exist.

Type-safe custom querying in Pydantic AI

Run custom queries using `query_custom_intelligence` without raw JSON headaches. The framework ensures the query parameters match the expected schema before sending them to Vinkius. You can combine this with `search_intelligence_entities` to build reliable pipelines. The agent retrieves verified entity IDs, validates them, and passes them to downstream analytical tasks.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KnowFirst. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect KnowFirst now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about KnowFirst MCP in Pydantic AI

Import MCPToolset from the slim package, pass your Vinkius HTTP URL, and add the toolset to your agent's config.

The framework inspects the schemas of tools like `get_entity_connections` and validates the agent's inputs and outputs at runtime.

Yes. The agent uses `query_custom_intelligence` with validated parameters to run custom analytics safely.

You can check `check_knowfirst_api_status` first. If a call fails or returns bad data, Pydantic AI throws a validation error.

Vinkius handles authentication via a single secure token. Your historical audit logs are processed in memory and never written to disk, keeping your investigations confidential.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript