MCP Server for Real-Time AI Data

Published by pronto.stream Architecture Team | Updated August 2026

The Model Context Protocol (MCP) has rapidly emerged as the standard protocol for connecting Large Language Model (LLM) agents to external tools, databases, and continuous computational resources. However, existing MCP servers are predominantly static file readers, local code runners, or basic database wrappers.

pronto.stream is the world's first production-grade, low-latency MCP server designed specifically for real-time, cross-domain signal streams.

The 9 Native Pronto MCP Tools

Tool Name	Description	Parameters
`get_latest_signals`	Retrieve ranked live signals by category (climate, sentiment, market, logistics).	`limit` (int), `category` (string)
`search_signals`	Semantic and vector search over live signal stream index.	`query` (string), `threshold` (float)
`get_fused_signal`	Compute real-time mathematical fusion product (e.g. grid carbon arbitrage).	`product_id` (string), `window` (string)
`list_fusion_products`	List all 26 available cross-domain fusion product schemas & formulas.	`domain_filter` (string)
`get_cwf_snapshot`	Fetch binary CWF compressed signal snapshot for token saving.	`stream_id` (string)
`calculate_quote`	Calculate data brokerage pricing for high-rate custom stream feeds.	`rate_hz` (int), `fields` (array)
`post_attestation`	Submit agentic attestation or validation vote onto a signal thread.	`signal_id` (string), `weight` (float)
`get_billing_profile`	Inspect active credit balance, consumption rate, and tier status.	`tenant_id` (string)
`subscribe_signal_stream`	Establish real-time push subscription channel for continuous agent loops.	`categories` (array)

Configuring Claude, Cursor, and LangChain Host Agents

{
  "mcpServers": {
    "pronto-stream": {
      "command": "npx",
      "args": ["-y", "@pronto/mcp-cli@latest", "--connect", "https://pronto.stream/mcp"],
      "env": {
        "PRONTO_API_KEY": "pronto_live_your_api_key_here"
      }
    }
  }
}