SAMHSA Treatment Locator MCP Server for Pydantic AIGive Pydantic AI instant access to 3 tools to Get Facility, List Services, Search Facilities
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect SAMHSA Treatment Locator through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The SAMHSA Treatment Locator MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 3 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 SAMHSA Treatment Locator "
"(3 tools)."
),
)
result = await agent.run(
"What tools are available in SAMHSA Treatment Locator?"
)
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 SAMHSA Treatment Locator MCP Server
Connect to the SAMHSA Treatment Locator and empower your AI agent to find critical healthcare resources across the United States. This server provides direct access to the official Substance Abuse and Mental Health Services Administration database.
Pydantic AI validates every SAMHSA Treatment Locator tool response against typed schemas, catching data inconsistencies at build time. Connect 3 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
- Geographic Search — Find facilities using precise latitude and longitude coordinates within a customizable radius.
- Service Filtering — Narrow down results using specific service codes to find the exact type of care needed (e.g., detox, inpatient, outpatient).
- Detailed Facility Profiles — Retrieve comprehensive metadata for specific facilities, including contact information and available services via unique identifiers.
- Service Code Discovery — Access the full list of available service categories and codes to refine your searches effectively.
The SAMHSA Treatment Locator MCP Server exposes 3 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 3 SAMHSA Treatment Locator tools available for Pydantic AI
When Pydantic AI connects to SAMHSA Treatment Locator through Vinkius, your AI agent gets direct access to every tool listed below — spanning mental-health, substance-abuse, facility-locator, 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.
Get facility on SAMHSA Treatment Locator
Get detailed information for a specific facility
List services on SAMHSA Treatment Locator
List available service codes used for filtering
Search facilities on SAMHSA Treatment Locator
Search for treatment facilities based on location and filters
Connect SAMHSA Treatment Locator to Pydantic AI via MCP
Follow these steps to wire SAMHSA Treatment Locator into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the SAMHSA Treatment Locator MCP Server
Pydantic AI provides unique advantages when paired with SAMHSA Treatment Locator 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 SAMHSA Treatment Locator integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your SAMHSA Treatment Locator connection logic from agent behavior for testable, maintainable code
SAMHSA Treatment Locator + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the SAMHSA Treatment Locator MCP Server delivers measurable value.
Type-safe data pipelines: query SAMHSA Treatment Locator with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple SAMHSA Treatment Locator tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query SAMHSA Treatment Locator and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock SAMHSA Treatment Locator responses and write comprehensive agent tests
Example Prompts for SAMHSA Treatment Locator in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with SAMHSA Treatment Locator immediately.
"Search for treatment facilities within 25 miles of latitude 34.05 and longitude -118.24."
"Get the full details for facility ID 'FAC123456'."
"List all available service codes for filtering treatment searches."
Troubleshooting SAMHSA Treatment Locator MCP Server with Pydantic AI
Common issues when connecting SAMHSA Treatment Locator to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSAMHSA Treatment Locator + Pydantic AI FAQ
Common questions about integrating SAMHSA Treatment Locator 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?
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