JobProgress (Leap) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add JobProgress (Leap) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 JobProgress (Leap). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in JobProgress (Leap)?"
)
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 JobProgress (Leap) MCP Server
Empower your AI agents with JobProgress's (now part of Leap) business management platform for contractors. This MCP server allows you to list and retrieve customers and jobs, track estimates and proposals, manage workflows and tasks, and view appointments directly through the JobProgress API. Ideal for automating construction and home improvement operations.
LlamaIndex agents combine JobProgress (Leap) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
The JobProgress (Leap) MCP Server exposes 10 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 JobProgress (Leap) to LlamaIndex via MCP
Follow these steps to integrate the JobProgress (Leap) 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 10 tools from JobProgress (Leap)
Why Use LlamaIndex with the JobProgress (Leap) MCP Server
LlamaIndex provides unique advantages when paired with JobProgress (Leap) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine JobProgress (Leap) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain JobProgress (Leap) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query JobProgress (Leap), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what JobProgress (Leap) tools were called, what data was returned, and how it influenced the final answer
JobProgress (Leap) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the JobProgress (Leap) MCP Server delivers measurable value.
Hybrid search: combine JobProgress (Leap) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query JobProgress (Leap) 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 JobProgress (Leap) for fresh data
Analytical workflows: chain JobProgress (Leap) queries with LlamaIndex's data connectors to build multi-source analytical reports
JobProgress (Leap) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect JobProgress (Leap) to LlamaIndex via MCP:
get_customer
Returns addresses, project history, and custom metadata. Essential for deep intelligence on a customer before preparing estimates or jobs. Retrieves details for a specific customer
get_job
Returns project descriptions, cost estimates, and current stage in the workflow. Use this to analyze a project's progress or provide customer updates. Retrieves details for a specific job
list_appointments
Essential for managing the field service calendar. Lists all scheduled appointments
list_customers
Returns customer names, contact info, and IDs. Use this as the main starting point for customer management or finding a specific client. Lists all customers in JobProgress
list_estimates
Useful for auditing sales performance and identifying pending project approvals. Lists all job estimates
list_jobs
Includes job titles, status, and associated customer IDs. Use this to monitor the project pipeline and upcoming work. Lists all jobs in JobProgress
list_proposals
Useful for monitoring contract acceptance and sales conversions. Lists all job proposals
list_tasks
Essential for helping the user manage their daily to-do list. Lists all tasks
list_users
Useful for identifying assignees or sales reps. Lists all users in the organization
list_workflows
Useful for understanding business processes. Lists all configured workflows
Example Prompts for JobProgress (Leap) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with JobProgress (Leap) immediately.
"List all active customers in JobProgress."
"Show me the details for job ID '123'."
"Check my appointments for today."
Troubleshooting JobProgress (Leap) MCP Server with LlamaIndex
Common issues when connecting JobProgress (Leap) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJobProgress (Leap) + LlamaIndex FAQ
Common questions about integrating JobProgress (Leap) 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 JobProgress (Leap) with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect JobProgress (Leap) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.