SingleStore MCP Server for Pydantic AI 6 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect SingleStore through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 SingleStore "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in SingleStore?"
)
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 SingleStore MCP Server
Grant your AI agent (like Claude or Cursor) absolute read-and-write sovereignty over your SingleStore infrastructure. The SingleStore MCP equips your LLM to act as a fully autonomous database administrator. Stop navigating external dashboards to check schema details or run complex search queries.
Pydantic AI validates every SingleStore tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through the 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
- Execute SQL Queries — Execute raw SQL natively from your AI agent using
execute_sql. - Semantic Vector Search — Perform semantic vector similarity searches natively against your data with
vector_search. - Workspace & Billing Administration — Survey your server clusters with
list_workspaces, list databases withlist_databases, and audit billing usage viaget_billing_usage.
The SingleStore MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect SingleStore to Pydantic AI via MCP
Follow these steps to integrate the SingleStore MCP Server with Pydantic AI.
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 6 tools from SingleStore with type-safe schemas
Why Use Pydantic AI with the SingleStore MCP Server
Pydantic AI provides unique advantages when paired with SingleStore 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 SingleStore integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your SingleStore connection logic from agent behavior for testable, maintainable code
SingleStore + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the SingleStore MCP Server delivers measurable value.
Type-safe data pipelines: query SingleStore with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple SingleStore tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query SingleStore and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock SingleStore responses and write comprehensive agent tests
SingleStore MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect SingleStore to Pydantic AI via MCP:
execute_sql
Use read-only SQL statements whenever possible. Executes a SQL query on a SingleStore database
get_billing_usage
Retrieves billing and usage metrics
list_databases
Lists all databases within a specific workspace
list_organizations
Lists organizations associated with the account
list_workspaces
Lists all SingleStore workspaces
vector_search
Performs a DOT_PRODUCT vector similarity search
Example Prompts for SingleStore in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with SingleStore immediately.
"List all my available workspaces."
"List all databases within workspace ID 1234, and then find the first 5 records in 'users_db'."
Troubleshooting SingleStore MCP Server with Pydantic AI
Common issues when connecting SingleStore to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSingleStore + Pydantic AI FAQ
Common questions about integrating SingleStore 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?
Connect SingleStore with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect SingleStore to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.