MCP Server for Harvest
What is taiste harvest mcp server
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Harvest MCP Server
This MCP (Model Context Protocol) server provides integration with the Harvest time tracking and project management API. It allows Claude and other MCP-compatible AI assistants to interact with your Harvest account, helping you manage time entries, projects, clients, and more.
Features
The server provides the following functionality:
Users
- List users
- Get user details
Time Entries
- List time entries with filtering options
- Create new time entries
- Start/stop timers
- Query time entry details
Projects
- List projects with filtering options
- Retrieve detailed project information
Clients
- List clients with filtering options
- Retrieve detailed client information
Tasks
- List available tasks with filtering options
Setup Instructions
Prerequisites
- Python 3.10 or higher
- Harvest account with API access
- Harvest API key and Account ID
Integrating with Claude Desktop
-
Create or edit your Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the Harvest MCP server configuration:
{ "mcpServers": { "harvest": { "command": "uv", "args": [ "run", "--directory", "change_directory", "harvest-mcp-server.py" ], "env": { "HARVEST_ACCOUNT_ID": "account_id", "HARVEST_API_KEY": "api_key" } } } }
-
Restart Claude Desktop.
-
Verify the integration by looking for the hammer icon in Claude's interface.
Example Queries
Once connected, you can ask Claude about your Harvest data with queries like:
- "Show me my time entries from last week"
- "List all my active projects"
- "Start a timer for project [project_id] and task [task_id]"
- "Show me all active clients"
- "List all available tasks"
Customization
You can modify the server code to add more functionality or customize the existing tools to better suit your workflow. The server uses FastMCP, which makes it easy to add new tools by simply adding new functions with the @mcp.tool()
decorator.
Troubleshooting
- API Errors: Make sure your Harvest API key and Account ID are correct and have the necessary permissions.
- Connection Issues: Verify that your Claude Desktop configuration has the correct path to the server script.
- Missing Dependencies: Ensure you've installed all required packages in your Python environment.
Security Notes
This server requires your Harvest API credentials to function. Make sure to:
- Keep your API key secure
- Do not share your claude_desktop_config.json file
- Consider using a dedicated API key with limited permissions for this integration
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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