Fixably MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fixably 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
Vinkius supports streamable HTTP and SSE.
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({
"fixably": {
"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 Fixably, 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 Fixably MCP Server
Connect your Fixably instance to any AI agent and automate your repair management workflows through the Model Context Protocol (MCP). Fixably provides a comprehensive platform for handling the entire repair lifecycle, from initial order creation to final dispatch. Now, you can manage your service center operations directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Fixably through native MCP adapters. Connect 12 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
- Order Management — List all repair orders, fetch detailed order metadata, and create or update orders instantly.
- Customer Oversight — Access your customer database, retrieve specific profiles, and search for accounts by name or email.
- Inventory Tracking — List all stock locations and monitor product availability at specific inventory sites.
- Operational Updates — Post internal notes to orders and update the internal location of devices (e.g., from SERVICE to STORE).
- Document Access — List all files and attachments associated with a repair order for quick reference.
- Real-time Monitoring — Fetch specific order statuses or device locations to keep your service team and customers informed.
The Fixably MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain 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 Fixably to LangChain via MCP
Follow these steps to integrate the Fixably MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Fixably via MCP
Why Use LangChain with the Fixably MCP Server
LangChain provides unique advantages when paired with Fixably through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Fixably 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 Fixably queries for multi-turn workflows
Fixably + LangChain Use Cases
Practical scenarios where LangChain combined with the Fixably MCP Server delivers measurable value.
RAG with live data: combine Fixably tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fixably, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fixably tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fixably tool call, measure latency, and optimize your agent's performance
Fixably MCP Tools for LangChain (12)
These 12 tools become available when you connect Fixably to LangChain via MCP:
add_order_note
Add note to order
change_internal_location
g. SERVICE, STORE). Change device location
create_order
Create a new order
get_customer
Get customer details
get_order
Get order details
get_stock
Get stock details
list_customers
List customers
list_order_files
List files for order
list_orders
List repair orders
list_stock_products
List products in stock
list_stocks
List inventory locations
update_order
Update an order
Example Prompts for Fixably in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Fixably immediately.
"List all active repair orders in Fixably."
"Add a note to order '123': 'Diagnostic complete, waiting for replacement screen'."
"Check the available stock at inventory location 'stock_abc'."
Troubleshooting Fixably MCP Server with LangChain
Common issues when connecting Fixably to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFixably + LangChain FAQ
Common questions about integrating Fixably 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?
Connect Fixably 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 Fixably to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.