TimeCamp
Manage TimeCamp time entries and tasks through its API.
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
Create Timecamp time entries based on these tasks I did.
I write tasks by putting -HH:MM, which is the end time for the task, so each time entry should take from end end time of previous entry.
Try to match timecamp task, so first you have to fetch my timecamp tasks.
Note should be single sentence in English with 3-12 words.
Ignore "[minutes:: ...]" as this is estimate.
- [x] -9:43 emails & org [completion:: 2025-06-21]
- [x] -12:10 #tech new version of reports [[(project) XYZ]] [completion:: 2025-06-21]
- [x] -12:58 (evening) Buy shoes + relax [completion:: 2025-06-21]
- [x] -14:30 relax [completion:: 2025-06-21]
- [x] -15:30 #tech Notifications still not working for one more person from our group [completion:: 2025-06-21]
- [x] -15:40 I don't remember [completion:: 2025-06-21]
- [x] -17:09 #tech Client - database connection problem [[(process) Technical support]] [minutes:: 15] [completion:: 2025-06-21]
- [x] -17:35 break [completion:: 2025-06-21]
- [x] -19:17 #tech Client [[(project) Client]] [[(process) Technical support]] [minutes:: 10] [completion:: 2025-06-21] - - [x] -19:21 (evening) Fill timesheet [completion:: 2025-06-21]
Setup & run
Local
pnpm start
Deploy
pnpm dlx wrangler@latest deploy
pnpm dlx wrangler@latest tail
Test
npx mcp-remote http://localhost:8787/sse --header "Authorization: Bearer <api_token>"
npx mcp-remote https://my-mcp-server.timecamp-s-a.workers.dev/sse --header "Authorization: Bearer <api_token>"
pnpm dlx @modelcontextprotocol/inspector@latest
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:
{
"mcpServers": {
"timecamp": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://my-mcp-server.timecamp-s-a.workers.dev/sse", // or http://localhost:8787/sse
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer <auth-token>"
}
},
"timecamp_url": { // if MCP client supports url
"url": "https://my-mcp-server.timecamp-s-a.workers.dev/sse",
"headers": {
"Authorization": "Bearer <auth-token>...."
}
},
}
}
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
संबंधित सर्वर
Kone.vc
प्रायोजकMonetize your AI agent with contextual product recommendations
Fireflies.ai
Transcribe and analyze meetings using the Fireflies.ai API.
Kultur.dev
Cultural intelligence MCP server providing AI-powered cultural context analysis, localization guidance, and cross-cultural communication insights for 195 countries.
MCP Personal
A collection of MCP servers for various personal productivity tools and utilities.
PocketMCP
Turn your Android phone into an MCP (Model Context Protocol) server. AI agents and desktop scripts can call your phone for live data and actions over LAN
Overleaf
Access and analyze Overleaf projects and LaTeX files through Git integration.
TeXFlow
A document authoring and composition server for creating PDFs from LaTeX and Markdown, supporting collaborative editing and project-based workflows.
MCP Kanban Memory
Manage complex AI agent workflows with a Kanban-based task management system.
FusionAL
Unified MCP gateway that loads 150+ AI tools into Claude Desktop via a single Docker command on Windows. Routes tool calls across specialized servers (Business Intelligence, API Hub, Content Automation, Intelligence) with centralized logging and governance. Built for teams without dedicated platform engineers.
Clarify Prompt MCP
An MCP server that transforms vague prompts into platform-optimized prompts for 58+ AI platforms across 7 categories — with support for registering custom platforms and providing markdown instruction files.
Follow Plan
Track and manage AI implementation plans.