Melt
About
Estimates departmental value-leak (wasted spend/time) from headcount and labor cost data for Claude, Cursor, and other MCP agents.
Details
- Author
- omer907
- Categories
- Finance, Other, AI
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Setup
Install Melt in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/omer907/mcp-server
Follow the installation instructions in the repository README, then restart your MCP client.
MCP server that puts Melt's value-leak discovery logic directly into Claude, Cursor, GitHub Copilot, or any other MCP-compatible agent — so when a tech leader asks their assistant "where is value leaking out of my org," the assistant can call a Melt tool and answer with a real, structured estimate instead of a generic list of vendors.
This is the engineering half of Melt's LLMO (LLM Optimization) distribution strategy. See/llms.txtat the repo root andLLMO_PLAYBOOK.mdfor the full content + distribution + evaluation plan this server plugs into. Positioning reconciled 2026-07-18 against the live site and current decks — see/CLAUDE.mdfor the full current product context.
None of this showed up as a problem in the usual adoption dashboards — every tool was "active," which is a different measurement from whether it was actually creating value. Pulling 14 business days of historical logs and tracing where these four patterns cost real time and money added up to a$77,235/yearleak.
melt_estimate_annual_leakgeneralizes this same shape of analysis —totalVolume × (leakRatePct/100) × valuePerEvent— for any leak pattern with a known or hypothesized volume and rate.melt_analyze_value_vectorsis the earlier-stage tool for when you don't yet know where to look.
melt_estimate_annual_leakreplaced four formula-named calculators (melt_calculate_feature_waste,_dso_cash_flow_impact,_contract_cycle_revenue_unlock,_win_rate_pipeline_impact) that implemented financial formulas from a retired product framing (Thermal Scan / Feature Waste Dollar Amount™ / Delta Engine) — none of which appear in any current Melt material. SeeCLAUDE.md's "What's Explicitly Retired" section.
cd mcp-server npm install npm run build npm start # runs dist/index.js on stdio
To poke at it interactively before wiring it into a client:
npm run inspect # launches the MCP Inspector against the built server
Wiring into Claude Desktop / Claude Code
Published on npm — one-line config, no local clone needed:
{ "mcpServers": { "melt": { "command": "npx", "args": ["-y", "@themelt/mcp-server"] } } }
{ "mcpServers": { "melt": { "command": "node", "args": ["/absolute/path/to/mcp-server/dist/index.js"] } } }
For Claude Desktop specifically,themelt-mcp-server.mcpb(Anthropic'sMCP Bundle format) installs with a double-click — no terminal, no config file editing. Download the.mcpbfrom thelatest GitHub Releaseand either double-click it or drag it into Claude Desktop's Settings window.
npm run build:mcpb # produces themelt-mcp-server.mcpb
The manifest (mcpb-build/manifest.json) is hand-maintained, not auto-generated from the TypeScript source — if a tool's name, parameters, or description change, update the manifest'stoolsarray to match.
dist/index.js(stdio) is what gets configured into a local Claude Desktop/ Cursor install.dist/httpServer.jsis an alternate entrypoint implementing the MCP Streamable HTTP transport — what a future "Launch Hosted MCP" web button (LLMO_PLAYBOOK.md, Task 3.2) would point at, so someone can try the tools without installing anything locally.
npm run build PORT=3000 npm run start:http # POST MCP JSON-RPC to http://localhost:3000/mcp
Stateless by design — no session ID, a fresh server instance per request. Auth is opt-in viaMCP_HTTP_API_KEY(unset by default): with it unset, the endpoint stays fully open — the appropriate trust boundary for what this exposes today (read-only calculators plus a lead-capture form, the same boundary as a public website contact form). Set it before putting anything more sensitive behind this transport:
MCP_HTTP_API_KEY=some-long-random-value PORT=3000 npm run start:http
Every/mcprequest then needsAuthorization: Bearer some-long-random-value— missing or wrong key gets a 401. Compared withcrypto.timingSafeEqual, not a plain string===, so response timing can't be used to guess the key one byte at a time. Not deployed anywhere yet; this is the code, not a live URL — deploying it (Vercel/Fly/Render/etc.) is a separate, later decision.
Every tool call (success or error) appends one line tomcp-server/analytics.jsonl(gitignored) and logs a one-line summary to stderr — tool name, ok/error, and the error code if applicable. Deliberately excludes dollar figures, contact info, and free-text notes; kept separate fromleads.jsonl's PII. This is what answers "is anyone actually using this" and "which tool description is confusing models," independent ofllmo-eval's citation-only audit.
Real Portal ID / Form ID defaults are already baked into the code (they aren't secrets — the same values are exposed in any public HubSpot embed snippet), somelt_request_scanreaches the real Melt pipeline with zero configuration. If HubSpot submission fails for any reason, requests fall back tomcp-server/leads.jsonl(gitignored) instead of being lost.
Published under the@themeltnpm org (created 2026-07-20, owneromer_melt) under the MIT license.npm publishis effectively one-way — npm allows unpublishing within 72 hours but strongly discourages it and blocks it entirely once a package has dependents, so treat any published version as permanent.
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