Hosts the MCP server in a serverless environment, chosen for being cost-effective and simple to deploy.
Supports MacOS Claude Desktop with specific workarounds for connectivity issues.
Facilitates the installation of the mcp-remote proxy needed to connect clients to the MCP server.
Enables package management for the MCP server deployment and execution.
TimeCamp MCP Server
- Why TS not Python? Official client, more materials, support for Cloudflare workers.
- Why hosted and not local only? Easier to use, users don't need to install it.
- Why Cloudflare Workers? Cheap & easy.
Hosted version is available at: https://my-mcp-server.timecamp-s-a.workers.dev
This MCP server provides the following tools for TimeCamp integration:
- add_timecamp_time_entry - Create a new time entry with start time, end time, note, and optional task
- get_timecamp_time_entries - Retrieve time entries for a specified date range
- get_timecamp_tasks - Fetch all available TimeCamp projects and tasks
- delete_timecamp_time_entry - Delete a specific time entry by ID
- update_timecamp_time_entry - Update an existing time entry (time, note, or task assignment)
Example prompt
Setup & run
Local
Deploy
Test
Connect Claude Desktop to your MCP server
You can also connect to your remote MCP server from local MCP clients, by using the mcp-remote proxy.
To connect to your MCP server from Claude Desktop, follow Anthropic's Quickstart and within Claude Desktop go to Settings > Developer > Edit Config.
Update with this configuration:
Restart Claude and you should see the tools become available.
If you have MacOS Claude Desktop - 'Server transport closed unexpectedly' see https://github.com/modelcontextprotocol/servers/issues/1748#issuecomment-2896004925.
Not yet implemented
- Oauth authorization (https://github.com/huanshenyi/mcp-server-bearer-auth/tree/main)
- Problem with MCP using URL in Cursor after fixing problem with Cloudflare workers not using received authorization header
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server that provides time tracking integration with TimeCamp, allowing AI assistants to create, retrieve, update, and delete time entries through natural language commands.
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