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UProc MCP

UProc MCP

Public
uproc-io/mcp

Enables Model Context Protocol clients to access and reference public web data for informed decision-making by integrating real-time online information into AI workflows.

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0 tools
May 29, 2025
Updated Jun 4, 2025

Supercharge Your AI with UProc MCP

MCP Server

Unlock the full potential of UProc MCP through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
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Free tier available • No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests

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

  1. Make sure you have an account on uproc.io (new users get free credit for testing, and pay as you go options are available)
  2. Get your API key from the user settings page

Quickstart with Claude Desktop

  1. Install nodejs to get the npx command (node.js module runner). Installation instructions can be found on the node.js website
  2. 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": "",
      }
    }
  }
}

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= 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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