JobProgress (Leap) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect JobProgress (Leap) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="JobProgress (Leap) Assistant",
instructions=(
"You help users interact with JobProgress (Leap). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from JobProgress (Leap)"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from JobProgress (Leap) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries JobProgress (Leap), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The JobProgress (Leap) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the JobProgress (Leap) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from JobProgress (Leap)
Why Use OpenAI Agents SDK with the JobProgress (Leap) MCP Server
OpenAI Agents SDK provides unique advantages when paired with JobProgress (Leap) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
JobProgress (Leap) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the JobProgress (Leap) MCP Server delivers measurable value.
Automated workflows: build agents that query JobProgress (Leap), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries JobProgress (Leap), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through JobProgress (Leap) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query JobProgress (Leap) to resolve tickets, look up records, and update statuses without human intervention
JobProgress (Leap) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect JobProgress (Leap) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting JobProgress (Leap) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
JobProgress (Leap) + OpenAI Agents SDK FAQ
Common questions about integrating JobProgress (Leap) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect JobProgress (Leap) 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 JobProgress (Leap) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.