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 CrewAI 11 tools — connect in under 2 minutes

Name: Harvest
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Harvest through Vinkius, pass the Edge URL in the `mcps` parameter and every Harvest tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Harvest Specialist",
    goal="Help users interact with Harvest effectively",
    backstory=(
        "You are an expert at leveraging Harvest tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Harvest "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Harvest becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Harvest tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Harvest

Why Use CrewAI with the Harvest MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Harvest through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Harvest + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Harvest for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Harvest, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Harvest tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Harvest against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Harvest MCP Tools for CrewAI (11)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Harvest + CrewAI FAQ

Common questions about integrating Harvest MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.