Checks brand recommendation rank and GEO visibility across Perplexity as part of B2B buying-intent scans.
Filters live Reddit social streams to remove spam and shill posts, extracting authentic vendor switching intent, price complaints, and procurement RFQs.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@CleanSignal MCP show the latest copper regime and hedging advice"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
De-noised Real-Time Market Regime, Commodity & B2B Buying-Intent Signals for AI Agents (Pay-Per-Call Wholesale MCP)
⚡ Click Here to Top Up 100 API Credits for Just $0.99 USD on Polar.sh
🌐 Official Live Portal & Interactive Sandbox: https://00112238.xyz/cleansignal/
Inspired by Silicon Valley's Credit-Led Growth (CLG) wholesale models (such as Treg / Dealroom MCP), CleanSignal MCP acts as an on-demand data faucet for Claude Code, Grok Bot, and Cursor.
Instead of subscribing to $2,000/mo enterprise Bloomberg or Apollo licenses, your AI agent can query CleanSignal for less than $0.01 per call to retrieve:
De-noised Commodity, FX & Freight Regimes: Instant basis, inventory percentiles, and physical inventory lock recommendations (Copper, Gold, Crude, CNH, Lithium, Aluminum, SCFI Freight).
Social Stream De-noiser: Filters 95%+ of bot spam and crypto shills from live X/Reddit streams to extract authentic vendor switching intent and procurement RFQs.
B2B Buying Signals & GEO Visibility: Discovers active tender RFQs across Industrial Machinery, Logistics, Medical Devices, and DTC E-Commerce, while checking brand recommendation rank across Perplexity/ChatGPT.
Add CleanSignal to your claude_desktop_config.json:
{
"mcpServers": {
"cleansignal": {
"command": "npx",
"args": ["-y", "github:wu00112238/cleansignal-mcp"]
}
}
}Related MCP server: agentpulse-mcp
Tool Name | Output Format | Description |
| JSON | Returns basis percentiles, order flow, and spot hedging advice for Copper/Gold/Crude/CNH/Lithium/Aluminum/SCFI. |
| JSON | Strips spam/shill posts from raw social feeds, tagging price complaints and procurement RFQs. |
| JSON | Scans active company expansion triggers and verifies buyer domains (Machinery, Logistics, Medical, DTC). |
| JSON | Returns the direct |
⚡ Starter Credit Pack ($0.99 USD): Buy 100 Metered API Calls Now
🌐 Official Live Portal & Interactive Sandbox: https://00112238.xyz/cleansignal/ (Less than $0.01/call, instant checkout via Apple Pay / Card).
MIT License. Copyright (c) 2026 CleanSignal Labs (wu00112238).
Instant $0.99 USD top-up link for 100 metered CleanSignal API calls via Polar.sh.
Inputs: no named parameters.
De-noises raw social/X streams: Strips crypto shills and bot spam, isolating high-purity vendor complaint and buying intent signals.
Inputs: rawPosts (required).
Returns de-noised real-time commodity/FX market regime and physical hedging actions (Copper, Gold, Crude, CNH, Lithium, Aluminum, SCFI Freight).
Inputs: symbol (required).
Scans real-time verified B2B buying signals, active tender RFQs, and GEO AI visibility ranking (industrial_machinery, logistics, saas, medical_devices, dtc_ecommerce).
Inputs: category (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 4 tools
The four tools mostly target distinct jobs: commodity regime lookup, social-signal filtering, B2B intent scanning, and credit purchase. The main overlap risk is between filter_social_signals and scan_b2b_buying_intent, since both relate to extracting buying signals from external data, but their descriptions differentiate raw social-stream de-noising from verified B2B/tender scanning.
All tool names follow a consistent snake_case verb_noun pattern: get_, filter_, scan_, and buy_. The convention is predictable and readable throughout.
Four tools is on the thin side but appropriate for a focused signal/intelligence API with three data products plus billing. Each tool has a clear role, though the surface could feel slightly underpowered if the service grows.
The tool set covers the main signal products and a credit top-up, but there is no tool to check remaining credits, account usage, or subscription status. It also lacks history/time-series access for commodity regimes or signal streams, which are notable gaps for a metered data service.
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