UProc MCP
Official UProc Model Context Protocol server that enables AI assistants to reference and make decisions based on public web data.
README
UProc MCP
Official UProc Model Context Protocol (MCP) server that enables referencing public web data. This server allows MCP clients like Claude Desktop, Cursor, Windsurf, OpenAI Agents and others make decisions based on the information available on the web.
Account setup
- Make sure you have an account on uproc.io (new users get free credit for testing, and pay as you go options are available)
- Get your API key from the user settings page
Quickstart with Claude Desktop
- Install
nodejsto get thenpxcommand (node.js module runner). Installation instructions can be found on the node.js website - Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:
{
"mcpServers": {
"UProc": {
"command": "npx",
"args": ["-y @uproc-io/mcp"],
"env": {
"API_TOKEN": "<insert-your-api-token-here>",
}
}
}
}
Other MCP clients
To use this MCP server with other agent types, you should adapt the following to your specific software:
- the full command to run the MCP server is
npx @uprocsaas/mcp - the environment variable
API_TOKEN=<your-token>must exist when running the server
Usage
Some example queries that this MCP server will be able to help with:
Troubleshooting
Timeouts when using certain tools
Some tools can involve reading web data, and the amount of time needed to load the page can vary by quite a lot in extreme circumstances.
To ensure that your agent will be able to conume the data, set a high enough timeout in your agent settings.
A value of 180s should be enough for 99% of requests, but some sites load slower than others, so tune this to your needs.
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