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
相关服务器
Odoo
Interact with Odoo ERP systems, allowing AI assistants to access and manage business data like contacts, sales, and projects.
Ledger CLI
Execute commands for Ledger, a powerful command-line accounting system. Requires Ledger CLI to be installed.
Interactive Leetcode MCP
An MCP server enabling guided DSA learning with AI on leetcode.com
Outline
Interact with Outline, the open-source knowledge base and wiki, directly through your AI assistant.
context-distill
context-distill is an MCP server that compresses noisy command output into precise, actionable summaries for LLM workflows. Use distill_batch for large logs and distill_watch for cycle-to-cycle deltas. Built with Go, Cobra, Viper, and DI for reliable local and provider-backed distillation.
QuickBooks Time
Access all QuickBooks Time API functionality through a single MCP server interface.
mcp-notifications
Desktop system notifications for MCP agents — instant feedback on tasks, failures, and workflow events.
Yandex Tracker
Integrates with Yandex Tracker, allowing an AI assistant to interact with its task management system via the MCP protocol.
Leantime MCP Bridge
An MCP proxy bridge for the Leantime project management system, forwarding JSON-RPC messages with proper authentication.
ClickUp MCP Server (Enhanced Fork)
An MCP server for integrating ClickUp tasks with AI applications, featuring task dependency management and bug fixes.