SurrealDB MCP Server for Pydantic AIGive Pydantic AI instant access to 16 tools to Create Record, Create Specific Record, Delete All, and more

Name: SurrealDB
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect SurrealDB through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The SurrealDB MCP Server for Pydantic AI is a standout in the Databases category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

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 SurrealDB "
            "(16 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in SurrealDB?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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* 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 SurrealDB MCP Server

Connect your SurrealDB database to any AI agent and take full control of your data layer through natural conversation.

Pydantic AI validates every SurrealDB tool response against typed schemas, catching data inconsistencies at build time. Connect 16 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

SurrealQL Execution — Run raw SurrealQL statements using the execute_sql tool for complex queries and logic.
Record Management — Create, update, and modify records in specific tables with tools like create_record, update_record, or modify_record.
Table Operations — Quickly select_all or delete_all records from a target table to manage your data at scale.
Health Monitoring — Check server status and health metrics using get_status and get_health to ensure uptime.
Data Portability — Use import_sql and export_data to move information in and out of your instance seamlessly.

The SurrealDB MCP Server exposes 16 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 16 SurrealDB tools available for Pydantic AI

When Pydantic AI connects to SurrealDB through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-model, surrealql, graph-database, 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.

create

Create record on SurrealDB

Create a record with a random ID

create

Create specific record on SurrealDB

Create a specific record

delete

Delete all on SurrealDB

Delete all records in a table

delete

Delete record on SurrealDB

Delete a specific record

execute

Execute sql on SurrealDB

Can pass variables via URL query parameters. Execute SurrealQL statements

export

Export data on SurrealDB

Export data

get

Get health on SurrealDB

Check SurrealDB health

get

Get status on SurrealDB

Check SurrealDB web server status

get

Get version on SurrealDB

Get SurrealDB version

import

Import sql on SurrealDB

Import SurrealQL queries

modify

Modify all on SurrealDB

Modify all records in a table (Merge)

modify

Modify record on SurrealDB

Modify a specific record (Merge)

select

Select all on SurrealDB

Select all records in a table

select

Select record on SurrealDB

Select a specific record

update

Update all on SurrealDB

Update all records in a table

update

Update record on SurrealDB

Update a specific record

Connect SurrealDB to Pydantic AI via MCP

Follow these steps to wire SurrealDB into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 16 tools from SurrealDB with type-safe schemas

Why Use Pydantic AI with the SurrealDB MCP Server

Pydantic AI provides unique advantages when paired with SurrealDB 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 SurrealDB integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your SurrealDB connection logic from agent behavior for testable, maintainable code

SurrealDB + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the SurrealDB MCP Server delivers measurable value.

Type-safe data pipelines: query SurrealDB with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple SurrealDB tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query SurrealDB and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock SurrealDB responses and write comprehensive agent tests

Example Prompts for SurrealDB in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with SurrealDB immediately.

"Check the health and version of my SurrealDB server."

"Select all records from the 'users' table."

"Execute a SurrealQL query to find all posts where status is 'published'."

Troubleshooting SurrealDB MCP Server with Pydantic AI

Common issues when connecting SurrealDB to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

SurrealDB + Pydantic AI FAQ

Common questions about integrating SurrealDB MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your SurrealDB MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.