AccuLynx MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AccuLynx 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 AccuLynx. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in AccuLynx?"
)
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 AccuLynx MCP Server
Connect your AccuLynx account to your AI agent to streamline your roofing business operations. From creating new leads to auditing job milestones and payments, your agent manages your entire roofing workflow through natural conversation.
LlamaIndex agents combine AccuLynx tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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
- Lead Management — Create and list leads to ensure your sales pipeline is always moving
- Job Auditing — Retrieve detailed information on active jobs, including milestones, insurance details, and assigned staff
- Financial Monitoring — Track payments, invoices, and accounting sync status across your projects
- Contact Lookup — Search for customer and user contact information quickly without leaving your chat
- Document Oversight — Audit job-related files and ensure all necessary documentation is in place for your roofing projects
The AccuLynx MCP Server exposes 4 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 AccuLynx to LlamaIndex via MCP
Follow these steps to integrate the AccuLynx 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 4 tools from AccuLynx
Why Use LlamaIndex with the AccuLynx MCP Server
LlamaIndex provides unique advantages when paired with AccuLynx through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AccuLynx tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AccuLynx tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AccuLynx, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AccuLynx tools were called, what data was returned, and how it influenced the final answer
AccuLynx + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AccuLynx MCP Server delivers measurable value.
Hybrid search: combine AccuLynx real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AccuLynx 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 AccuLynx for fresh data
Analytical workflows: chain AccuLynx queries with LlamaIndex's data connectors to build multi-source analytical reports
AccuLynx MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect AccuLynx to LlamaIndex via MCP:
create_lead
Requires first and last name. Add a prospective customer to the AccuLynx sales pipeline
get_job_details
Requires a valid Job ID. Retrieve technical milestones and metadata for a specific AccuLynx roofing job ID
list_leads
Retrieve a list of recent inquiries and prospective roofing projects in AccuLynx
list_payments
Requires a valid Job ID. Retrieve all payments and financial records associated with a specific AccuLynx job
Example Prompts for AccuLynx in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AccuLynx immediately.
"List the last 5 leads created in my AccuLynx account."
Troubleshooting AccuLynx MCP Server with LlamaIndex
Common issues when connecting AccuLynx to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAccuLynx + LlamaIndex FAQ
Common questions about integrating AccuLynx 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 AccuLynx 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 AccuLynx to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.