How to Use the Harvest MCP in AutoGen

Q: Can AutoGen agents resolve Harvest billing discrepancies?

Yes. One AutoGen agent uses listtimeentries to pull Harvest hours, and another checks them against listinvoices. They debate any mismatches before drafting a final invoice.

Q: How do AutoGen agents handle Harvest client onboarding?

The AutoGen agents use createclient after verifying the company name. If a duplicate is found via listclients, they negotiate how to update the existing Harvest record.

Q: Can AutoGen agents delete Harvest records?

Your AutoGen agents can execute deleteclient if they reach consensus that a Harvest record is a duplicate. You can set execution guards to require human approval before this tool runs.

Coordinate AutoGen agents to debate billing accuracy, verify time entries, and draft Harvest invoices through consensus.

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Setup Harvest with AutoGen

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Collaborative Invoicing with AutoGen

The `list_time_entries` tool exposed by this MCP server feeds raw Harvest hours into an AutoGen multi-agent debate. One AutoGen agent acts as the project manager, verifying Harvest hours, while another agent acts as the billing auditor to flag discrepancies. Once the AutoGen agents agree on the totals, the billing agent triggers `create_invoice` to draft the Harvest invoice. This collaborative check prevents Harvest invoicing errors before they reach your clients in your AutoGen workflow.

Consensus-Based Client Management

Your AutoGen agents use `create_client` to onboard new Harvest accounts after validating their details. A data-entry AutoGen agent proposes the Harvest client details, while a compliance agent checks the inputs for formatting errors. If changes are needed, the AutoGen agents run `update_client` to resolve Harvest record conflicts. They can also execute `list_clients` to ensure the new account doesn't duplicate an existing Harvest record in your AutoGen system.

Verify Harvest Project Budgets via MCP Server

The `list_projects` tool allows your AutoGen agents to review active Harvest engagements. Your AutoGen agents cross-reference Harvest project lists with logged hours to determine which accounts are nearing their budget limits. If an account needs auditing, the AutoGen agents call `get_invoice` to pull historical Harvest billing records. This multi-agent review ensures your Harvest budget tracking matches your actual sent invoices within the AutoGen framework.

Setup guide

Set up Harvest MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Harvest tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Harvest_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Harvest data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Harvest_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Harvest data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Harvest. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Harvest MCP in AutoGen

Use the MCP tool adapter with your endpoint URL to fetch the Harvest tools. Pass the resulting tool list to your AutoGen `AssistantAgent` constructor to give it direct access to your billing data.

Yes. One AutoGen agent uses `list_time_entries` to pull Harvest hours, and another checks them against `list_invoices`. They debate any mismatches before drafting a final invoice.

The AutoGen agents use `create_client` after verifying the company name. If a duplicate is found via `list_clients`, they negotiate how to update the existing Harvest record.

Your AutoGen agents can execute `delete_client` if they reach consensus that a Harvest record is a duplicate. You can set execution guards to require human approval before this tool runs.

Absolutely. Your Harvest client details, invoice structures, and time entries are processed inside an ephemeral, zero-trust V8 sandbox during AutoGen agent runs. No financial data or credentials are saved to disk.

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