A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"circu-link": {
"url": "https://relink-6a64ea0e-aravindco-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"circu-link": {
"serverUrl": "https://relink-6a64ea0e-aravindco-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.circu-link] url = "https://relink-6a64ea0e-aravindco-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://relink-6a64ea0e-aravindco-amrita-university-coimbatore.app.nitrocloud.ai/mcp
Onboard a new manufacturer: collect mobile (OTP-verified), factory details, GST, location, industry type. Mobile becomes the primary contact for buyer inquiries.
Upload photo of industrial material. AI analyzes it, classifies, grades, and provides a benchmark price as a REFERENCE. Seller sets their OWN quoted price which gets listed. Mobile is shared for buyer contact.
MSMEs without digital access call in, describe material + price in their language. System transcribes, structures, and creates a listing automatically.
Connect to manufacturer ERP system and auto-detect surplus/disposal queue items. Creates listings automatically using pre-configured pricing rules.
Vision model checks uploaded photos against declared type. Flags contamination, rust, degradation. Outputs grade A/B/C with advisory flags. Runs autonomously on listing.created event.
Given material type and specs, classify likely downstream manufacturing applications this material can feed into.
AI-assisted pricing benchmark based on material type, grade, and current market rates. This is ADVISORY — seller sets the actual price.
Aggregate trust score from fulfillment rate, response time, KYC verification (GST), and transaction history.
Flag potential fraud: mismatched photos, unrealistic pricing vs market benchmarks, duplicate listings across accounts.
Buyer says "I manufacture X". AI infers required raw materials, recyclable substitutes, estimated quantities, and grades. Returns an editable BOM for procurement. This is the starting point for Mode 1 sourcing.
Full AI procurement pipeline. For each material: progressive radius search (10→25→50→75→100km), weighted supplier scoring (distance + price + grade + trust + quantity), industrial zone intelligence, multi-supplier combination optimization, and AI reasoning. Returns a complete procurement plan — not just a list of suppliers.
Search across verified listings by material type, quantity, location, grade, and price range. Returns results ranked by weighted procurement score (not just distance). Each result includes scoring breakdown and seller details.
Analyze seller clusters across industrial zones near the buyer. Computes ACTUAL metrics per zone: seller count, total available inventory, average price, average grade (computed, not hardcoded), average trust. Recommends the best geographic zone to source from.
Reveal seller's registered mobile number so the buyer can contact them DIRECTLY. No MCP or agent mediation — this is human-to-human. The platform provides the verified lead; the deal conversation is between two factory owners.
Side-by-side comparison of up to 5 listings with weighted procurement scoring across price, proximity, grade, trust, and quantity coverage.
Send a formal quote request to a seller for a specific material and quantity. Seller gets notified via WhatsApp/SMS on their registered mobile. Creates an audit trail.
Save a search query and get notified when new matching listings appear in your area. The Sourcing Agent monitors new listings and proactively alerts you.
Given a Bill of Materials (list of required materials), find the optimal combination of sellers minimizing total cost + transport. Solves the many-to-many allocation problem — combining materials from multiple factories to fulfill a complete BOM.
Rank potential suppliers by weighted criteria: proximity, price, seller trust, delivery speed, and availability reliability.
Get distance and route between seller warehouse and buyer facility. Integrates with Google Maps MCP server.
Estimate freight cost based on distance, material weight/volume, and vehicle type.
Search for registered transport partners near the pickup location.
Schedule material pickup with a transport partner. Buyer coordinates logistics directly.
Analyze historical listing patterns + production schedules to predict upcoming waste generation. The core Industry 4.0 feature — predictive forecasting applied to manufacturing waste outflow.
Generate regulatory compliance report for India 2026 Waste Management Rules and EPR requirements. Ready for export and filing.
Calculate ESG metrics: waste diverted from landfill, CO2 saved vs virgin material, circularity score. Visual dashboard for factory management.