EstimateOne MCP Server and API by Cotlet
RemoteAbout EstimateOne MCP Server and API by Cotlet
EstimateOne MCP Server and API by Cotlet connects construction businesses’ EstimateOne accounts to AI agents for finding and tracking tenders. It uses the signed-in account, extending beyond the partner-only, read-only External API described in the README.
Key features
- 01Search and sort tenders
- 02Review tender details and documents
- 03Track quoting status and deadlines
- 04Find builder invitations and Speci-finder matches
Use cases
- 01Find open tenders by trade, location and closing date
- 02Rank new matches by project value
- 03List documents for a tender
- 04Track tenders being quoted and upcoming close dates
MCP support
Exposes EstimateOne account capabilities to MCP clients through Cotlet.dev’s hosted MCP server. It connects through the user’s signed-in account rather than requiring partner access to the External API.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://cotlet.dev/mcp/v1/estimateone/connectclaude mcp add --transport http dev-cotlet-estimateone https://cotlet.dev/mcp/v1/estimateone/connect{"mcpServers":{"dev-cotlet-estimateone":{"type":"http","url":"https://cotlet.dev/mcp/v1/estimateone/connect"}}}Open in Cursor{"servers":{"dev-cotlet-estimateone":{"type":"http","url":"https://cotlet.dev/mcp/v1/estimateone/connect"}}}Open in VS Code{"mcpServers":{"dev-cotlet-estimateone":{"type":"http","url":"https://cotlet.dev/mcp/v1/estimateone/connect"}}}{"mcpServers":{"dev-cotlet-estimateone":{"serverUrl":"https://cotlet.dev/mcp/v1/estimateone/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/estimateone/connecthttps://cotlet.dev/mcp/v1/estimateoneAuth requiredTools
Details
From the project READMEHow to connect EstimateOne to Claude Code, ChatGPT and any AI agent
Yes, Claude, ChatGPT and other AI agents can work in your EstimateOne account. EstimateOne's External API is read-only, partner-only and returns Speci-finder matches. Cotlet.dev connects your own signed-in EstimateOne account to any AI agent, so the AI finds, sorts and tracks tenders for you.
What you can ask
Find open tenders in Melbourne for electrical work closing in the next 14 days.
Which new Speci-finder matches came in this week? Rank them by project value.
Download the documents for the Westgate school tender and list the files.
Mark these 5 tenders as quoting and remind me 3 days before each closes.
Which builders invited us to quote this month?
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}"
}
}
}
}
Command line
Python 3.10+, nothing else to install. From PyPI:
pip install estimateone-mcp # or run it once: uvx estimateone-mcp connect
estimateone-mcp connect
Or straight from this repo:
export COTLET_API_KEY="your-key"
python3 estimateone_agent.py connect # ready config for Claude Code, Cursor, ChatGPT
python3 estimateone_agent.py status # is EstimateOne ready in your Cotlet.dev account
python3 estimateone_agent.py guide # EstimateOne screens and sign-in link
python3 estimateone_agent.py read # open EstimateOne, read the page, close the browser
python3 estimateone_agent.py tools # list Cotlet.dev tools
Questions from EstimateOne users
Does EstimateOne have an API?
EstimateOne has an External API for partner software: read-only, set up by EstimateOne per customer, returning Speci-finder matches. Cotlet.dev works in your own EstimateOne account, so your AI agent can do more without partner access.
Is there an EstimateOne connector for ChatGPT or Claude?
EstimateOne has no connector of its own for ChatGPT or Claude. Cotlet.dev adds one to both.
How do I connect EstimateOne to ChatGPT?
Add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL https://cotlet.dev/mcp/v1), sign in to EstimateOne once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no EstimateOne API key.
Is there a way to use Claude with EstimateOne?
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 EstimateOne account.
Find it on
- EstimateOne on Cotlet.dev
- PyPI package estimateone-mcp
- Glama
- LobeHub
- Step-by-step guide (PDF) on Internet Archive
Also works with
- Housecall Pro MCP
- Mangomint MCP
- Wanderlog MCP
- SmugMug MCP
- Garmin Connect MCP
- Medium MCP
- Crexi MCP
- DistroKid MCP
- LinkedIn MCP
- All apps connected through Cotlet.dev
Start free: https://cotlet.dev/signup?app=estimateone&utm_source=github&utm_medium=readme&utm_campaign=estimateone
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.