ClearOps
ClearOps gives owners of multi-outlet restaurant chains one daily view of what needs attention — leakage, mismatches, and unresolved operating issues — from the records they already keep.
https://clearops.co.in/Opens ChatGPT on the web or desktop and asks it to use the WebMCP tools available here.
Connect straight to this server’s public endpoint.
https://api.clearops.co.in/mcpWe add this server to your workspace, then open Studio — saved access, one connection to many servers, with a history of what ran.
Last probed Sep 14, 2026 · api.clearops.co.in
1544tools discovered
Showing 25 of 1544 from the live probe.
Sales Ingester
[live] #1 Sales Ingester (1 Ingestion) — sales[o,d,dish]=Σ qty_sold
Order Ingester
[live] #2 Order Ingester (1 Ingestion) — order_line=(outlet,item_raw,qty,unit,t,by)
Additions Ingester
[planned] #3 Additions Ingester (1 Ingestion) — final_qty=qty0+Σ Δi
Weight Feed Ingester
[planned] #4 Weight-Feed Ingester (1 Ingestion) — w_event=(item,outlet,kg,type,t)
Bill Digitizer
[live] #5 Bill Digitizer (1 Ingestion) — bill_line=(item,qty,unit,₹,vendor,date)
Count Sheet Reader
[planned] #6 Count-Sheet Reader (1 Ingestion) — count[i]=value_read; proof=photo_id
Alias Normalizer
[live] #7 Alias Normalizer (2 Identity & Units) — canon(i_raw)=lookup(alias_table)
Unit Converter
[partial] #8 Unit Converter (2 Identity & Units) — qty_pcs=qty_plates×r_plate(i)
Lineage Mapper
[live] #9 Lineage Mapper (2 Identity & Units) — family(i)∈{Bada,Chhota,Recipe(g),Direct}
Batch Converter
[partial] #10 Batch Converter (2 Identity & Units) — kg=batches×r_batch(g)
Recipe Engine
[live] #11 Recipe Engine (versioned) (3 Recipes & Costing) — input[c]=ratio(c,g)×batch_kg(g)
Yield Factor
[planned] #12 Yield Factor (3 Recipes & Costing) — finished_kg=batch_kg×f(g)
Recipe Cost
[partial] #13 Recipe Cost (3 Recipes & Costing) — cost/kg(g)=Σ ratio(c,g)·cost/kg(c)÷f(g)
Send Rule
[partial] #14 Send Rule (3 Recipes & Costing) — disp_kg=rule_g(req_kg)
Bada Bundle Pricer
[partial] #15 Bada Bundle Pricer (3 Recipes & Costing) — sets=min(⌊tikka/10⌋,⌊satay/2⌋,⌊lolly/2⌋)
Chhota Pricer
[partial] #16 Chhota Pricer (3 Recipes & Costing) — kg=pcs÷(sample_pcs/sample_kg)
Piece Rule Learner
[planned] #17 Piece-Rule Learner (3 Recipes & Costing) — rule created ⇒ recompute today+future
Order Aggregator
[live] #18 Order Aggregator (4 Order Pipeline) — D[i]=Σ_o final_qty[o,i]
Demand Exploder
[live] #19 Demand Exploder (4 Order Pipeline) — make[g]=D_direct[g]+Σ ratio(g,parent)·batch[parent]
Bada Source Planner
[planned] #20 Bada Source Planner (4 Order Pipeline) — kg_bada=max_output(D[out]/yield_out)
Chef Sheet Generator
[planned] #21 Chef-Sheet Generator (4 Order Pipeline) — sheet=f(make[],recipes,waves)
Supplynote Formatter
[live] #22 SupplyNote Formatter (4 Order Pipeline) — csv=format(D_approved)
Order Book Matcher
[live] #23 Order Book Matcher (4 Order Pipeline) — gap=billed₹−ordered₹; short=ordered−received
Rate Change Detector
[planned] #24 Rate-Change Detector (4 Order Pipeline) — alert if |rate−median|/median>θ
Band Builder
[live] #25 Band Builder (5 Checks & Exceptions) — band=P10..P90 last28d weekday-weighted
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
Directory coverage for brandsClearOps gives owners of multi-outlet restaurant chains one daily view of what needs attention — leakage, mismatches, and unresolved operating issues — from the records they already keep.
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
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MCPBundles probed 1544 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.
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