SAMHSA Treatment Locator MCP Server for LangChainGive LangChain instant access to 3 tools to Get Facility, List Services, Search Facilities
LangChain is the leading Python framework for composable LLM applications. Connect SAMHSA Treatment Locator through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The SAMHSA Treatment Locator MCP Server for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"samhsa-treatment-locator": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using SAMHSA Treatment Locator, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with SAMHSA Treatment Locator through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire SAMHSA Treatment Locator into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the SAMHSA Treatment Locator MCP Server
LangChain provides unique advantages when paired with SAMHSA Treatment Locator through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine SAMHSA Treatment Locator MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across SAMHSA Treatment Locator queries for multi-turn workflows
SAMHSA Treatment Locator + LangChain Use Cases
Practical scenarios where LangChain combined with the SAMHSA Treatment Locator MCP Server delivers measurable value.
RAG with live data: combine SAMHSA Treatment Locator tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query SAMHSA Treatment Locator, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain SAMHSA Treatment Locator tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every SAMHSA Treatment Locator tool call, measure latency, and optimize your agent's performance
Example Prompts for SAMHSA Treatment Locator in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting SAMHSA Treatment Locator to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSAMHSA Treatment Locator + LangChain FAQ
Common questions about integrating SAMHSA Treatment Locator MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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