RazorSync MCP Server and API by Cotlet
RemoteAbout RazorSync MCP Server and API by Cotlet
A Cotlet.dev MCP server for RazorSync that lets Claude, ChatGPT, and other AI agents work with a signed-in account to manage work orders, schedules, and invoices. It offers a hosted connection and a local stdio option.
Key features
- 01Create and schedule work orders
- 02Assign technicians
- 03Prepare and send invoices
- 04Find overdue invoices
- 05Send payment reminders
Use cases
- 01Create a customer work order and book a visit
- 02Turn completed work orders into invoices
- 03Find overdue bills and remind customers
MCP support
Provides a hosted MCP endpoint and a local stdio MCP server; the local server forwards tool calls to Cotlet.dev. Its tools let AI agents operate a RazorSync account.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://cotlet.dev/mcp/v1/razorsync/connectclaude mcp add --transport http dev-cotlet-razorsync https://cotlet.dev/mcp/v1/razorsync/connect{"mcpServers":{"dev-cotlet-razorsync":{"type":"http","url":"https://cotlet.dev/mcp/v1/razorsync/connect"}}}Open in Cursor{"servers":{"dev-cotlet-razorsync":{"type":"http","url":"https://cotlet.dev/mcp/v1/razorsync/connect"}}}Open in VS Code{"mcpServers":{"dev-cotlet-razorsync":{"type":"http","url":"https://cotlet.dev/mcp/v1/razorsync/connect"}}}{"mcpServers":{"dev-cotlet-razorsync":{"serverUrl":"https://cotlet.dev/mcp/v1/razorsync/connect"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://cotlet.dev/mcp/v1/razorsync/connecthttps://cotlet.dev/mcp/v1/razorsyncAuth requiredTools
Details
From the project READMEHow to connect RazorSync to Claude Code, ChatGPT and any AI agent
Yes, Claude, ChatGPT and other AI agents can work in your RazorSync account. RazorSync documents an API for developers, but we found no official RazorSync app in ChatGPT's or Claude's directory. Cotlet.dev connects your own signed-in RazorSync account to any AI agent, so you can ask in plain words and the AI schedules jobs, prepares invoices and follows up on unpaid bills for you.
What you can ask
Create a work order for Mike Chen at 42 Elm Street, AC not cooling, and assign it to Carlos for Tuesday at 9 am.
Turn yesterday's completed work orders into invoices and email them to the customers.
Which invoices are more than 30 days unpaid? List the customer, amount and due date.
Send a friendly payment reminder to every customer with an open invoice over $500.
Show me Thursday's schedule per technician and move Dave's 3 pm job to Friday at 8 am.
Connect in 2 minutes
Get your API key at https://cotlet.dev/app and export it as COTLET_API_KEY.
Claude Code
claude mcp add --transport http cotlet https://cotlet.dev/mcp/v1 --header "Authorization: Bearer $COTLET_API_KEY"
ChatGPT
Settings → Apps → add connector URL https://cotlet.dev/mcp/v1, then sign in with Cotlet.dev. No API key needed.
Cursor
Copy .cursor/mcp.json from this repo into your project:
{
"mcpServers": {
"cotlet": {
"url": "https://cotlet.dev/mcp/v1",
"headers": {
"Authorization": "Bearer ${COTLET_API_KEY}"
}
}
}
}
Run it locally (stdio)
This repo is a real MCP server. It speaks MCP over stdio, lists its RazorSync tools without any key, and forwards every tool call to the hosted Cotlet.dev server. The hosted URL above stays the recommended way. Use this when your client only starts local servers.
{"mcpServers":{"razorsync":{"command":"uvx","args":["razorsync-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}
Or with Docker:
docker build -t razorsync-mcp .
docker run -i --rm -e COTLET_API_KEY razorsync-mcp
Tools: razorsync_guide, razorsync_status, razorsync_open, razorsync_read, razorsync_click, razorsync_type, razorsync_close. Without COTLET_API_KEY a tool call answers: "Set COTLET_API_KEY. Get a key at https://cotlet.dev/app".
Command line
Python 3.10+, nothing else to install. From PyPI:
pip install razorsync-mcp # or run it once: uvx razorsync-mcp connect
razorsync-mcp connect
Or straight from this repo:
export COTLET_API_KEY="your-key"
python3 razorsync_agent.py connect # ready config for Claude Code, Cursor, ChatGPT
python3 razorsync_agent.py status # is RazorSync ready in your Cotlet.dev account
python3 razorsync_agent.py guide # RazorSync screens and sign-in link
python3 razorsync_agent.py read # open RazorSync, read the page, close the browser
python3 razorsync_agent.py tools # list Cotlet.dev tools
python3 razorsync_agent.py serve # start the stdio MCP server (same as no argument)
Questions from RazorSync users
Does RazorSync have an API?
RazorSync documents an API for customers, work orders, scheduling, invoices and payments, but the token comes only from RazorSync support and needs a developer. Cotlet.dev works in your own signed-in RazorSync account instead, so your AI agent can open, schedule and invoice work orders.
How do I connect RazorSync to ChatGPT?
Add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL https://cotlet.dev/mcp/v1), sign in to RazorSync once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no RazorSync API key.
Is there a way to use Claude with RazorSync?
Yes. In Claude Code run the one-line claude mcp add command above; in the Claude app add https://cotlet.dev/mcp/v1 as a custom connector. Claude then works in your own RazorSync account.
Is there a RazorSync MCP server?
RazorSync has no official MCP server and no official app in ChatGPT or Claude (checked November 2026). Cotlet.dev is a hosted RazorSync MCP server that works in your own account, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier.
Find it on
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Start free: https://cotlet.dev/signup?app=razorsync&utm_source=github&utm_medium=readme&utm_campaign=razorsync
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.