Fixably MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fixably as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Fixably. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Fixably?"
)
print(response)
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.
LlamaIndex agents combine Fixably tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Fixably MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 12 tools from Fixably
Why Use LlamaIndex with the Fixably MCP Server
LlamaIndex provides unique advantages when paired with Fixably through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fixably tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fixably tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fixably, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fixably tools were called, what data was returned, and how it influenced the final answer
Fixably + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fixably MCP Server delivers measurable value.
Hybrid search: combine Fixably real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fixably to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Fixably for fresh data
Analytical workflows: chain Fixably queries with LlamaIndex's data connectors to build multi-source analytical reports
Fixably MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Fixably to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Fixably to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFixably + LlamaIndex FAQ
Common questions about integrating Fixably MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.