How do I find my Harvest Access Token and Account ID?

Go to the **Harvest Developers** site (id.getharvest.com), navigate to **Personal Access Tokens**, and create a new token. You will find both the **token** and the **Account ID** listed there.

Can I see time entries for a specific period?

Yes! Use the `list_time_entries` tool and provide the `from` and `to` dates in YYYY-MM-DD format to retrieve records for that timeframe.

Is it possible to create invoices through this integration?

Yes, you can use the `create_invoice` tool by providing a `client_id` and an optional `subject` to generate a new invoice draft in your Harvest account.

Is the integration secure for managing financial data?

Absolutely. The integration uses official Harvest API tokens over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

Harvest MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Harvest
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Harvest through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "harvest": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Harvest, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Harvest through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Harvest MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Harvest via MCP

Why Use LangChain with the Harvest MCP Server

LangChain provides unique advantages when paired with Harvest through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Harvest MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Harvest queries for multi-turn workflows

Harvest + LangChain Use Cases

Practical scenarios where LangChain combined with the Harvest MCP Server delivers measurable value.

RAG with live data: combine Harvest tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Harvest, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Harvest tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Harvest tool call, measure latency, and optimize your agent's performance

Harvest MCP Tools for LangChain (11)

These 11 tools become available when you connect Harvest to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Harvest to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Harvest + LangChain FAQ

Common questions about integrating Harvest MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.