Harvest MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Harvest 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="Harvest Assistant",
instructions=(
"You help users interact with Harvest. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Harvest"
)
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 Harvest MCP Server
Connect your Harvest account to any AI agent and take full control of your time tracking, client management, and invoicing through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from Harvest through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Harvest, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Time Tracking Oversight — List and inspect tracked time entries to monitor team productivity.
- Client Management — List all clients, create new ones, and update company details effortlessly.
- Invoicing Automation — Access your invoice history, create new drafts, and manage billing statuses.
- Project Monitoring — List all active projects and retrieve detailed information for each.
- User Profile — Get information about the current authenticated user and account status.
- Operational Efficiency — Use AI to identify unbilled time or upcoming invoice deadlines across your organization.
The Harvest MCP Server exposes 11 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 Harvest to OpenAI Agents SDK via MCP
Follow these steps to integrate the Harvest 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 11 tools from Harvest
Why Use OpenAI Agents SDK with the Harvest MCP Server
OpenAI Agents SDK provides unique advantages when paired with Harvest 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
Harvest + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Harvest MCP Server delivers measurable value.
Automated workflows: build agents that query Harvest, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Harvest, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Harvest tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Harvest to resolve tickets, look up records, and update statuses without human intervention
Harvest MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Harvest to OpenAI Agents SDK via MCP:
create_client
Create a new client in Harvest
create_invoice
Create a new invoice for a client
delete_client
Permanently delete a client
get_client
Get detailed information for a specific client
get_invoice
Get details for a specific invoice
get_my_profile
Get information about the current authenticated user
list_clients
List all clients in your Harvest account
list_invoices
List all invoices, including drafts and sent ones
list_projects
List all projects in the account
list_time_entries
List tracked time entries
update_client
Update an existing client name
Example Prompts for Harvest in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Harvest immediately.
"List all time entries from last week."
"Create a new client named 'Acme Corp'."
"Show me all active projects."
Troubleshooting Harvest MCP Server with OpenAI Agents SDK
Common issues when connecting Harvest to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Harvest + OpenAI Agents SDK FAQ
Common questions about integrating Harvest 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 Harvest 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 Harvest to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
