@themelt/mcp-server
This MCP server lets AI assistants estimate where value is leaking from an organization and request a real Melt scan.
melt_analyze_value_vectors – Provides a free Stage-1 sandbox estimate of value leakage in a department based on headcount, labor cost, and dominant unstructured-input type (no integration required).
melt_estimate_annual_leak – Quantifies an already-identified leak pattern in dollars/year using
totalVolume × (leakRatePct/100) × valuePerEvent.melt_request_scan – Captures a lead and hands off to a real, log-verified Melt scan (routes to HubSpot or appends to a local
leads.jsonl).Supports both stdio and hosted HTTP (MCP Streamable HTTP) transports, with optional API-key auth for the HTTP endpoint.
Logs tool-call analytics to
analytics.jsonlfor usage monitoring without capturing sensitive data.
Submits Melt scan requests as leads to HubSpot via a form, enabling sales follow-up; falls back to a local JSONL file if HubSpot submission fails.
Click on "Install 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., "@@themelt/mcp-serverEstimate annual value leak from manual data entry errors in finance"
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.
@themelt/mcp-server
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.txt at the repo root and LLMO_PLAYBOOK.md for the full
content + distribution + evaluation plan this server plugs into. Positioning
reconciled 2026-07-18 against the live site and current decks — see
/CLAUDE.md for the full current product context.
Tools exposed
Tool | What it does |
| Free Stage-1 Sandbox estimator. Estimates where value is leaking in one department from headcount, labor cost, and dominant unstructured-input type. No integration required — synthetic/self-reported inputs only. |
| Quantifies an already-identified leak pattern in dollars/yr — |
| Lead-capture handoff — the move from a directional estimate to a real, log-verified scan (Frictionless POC Playbook Stage 1 → 2). Routes to HubSpot if |
Related MCP server: Summit53 MCP Server
Worked example
From Melt's Anatomy of a Real AI Value Leak case study — a pre-IPO fintech with $1.5B in annual originations, already running Salesforce, Gong, and Clari:
Signal | Finding |
Gong coaching | 29% open rate — reps bypassing AI-generated call summaries and duplicating the work manually |
Clari forecasting | 62% override rate — manual date entries corrupting the model across 8 of 13 forecast cycles |
Salesforce → CS handoff | 4.2-day lag delaying onboarding after close |
Salesforce lead routing | 32% manual — automation failures requiring daily manual reassignment |
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/year leak.
melt_estimate_annual_leak generalizes this same shape of analysis — totalVolume × (leakRatePct/100) × valuePerEvent — for any leak pattern with a known or hypothesized volume and rate. melt_analyze_value_vectors is the earlier-stage tool for when you don't yet know where to look.
melt_estimate_annual_leak replaced 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. See CLAUDE.md's "What's Explicitly Retired" section.
Install & run
cd mcp-server
npm install
npm run build
npm start # runs dist/index.js on stdioTo poke at it interactively before wiring it into a client:
npm run inspect # launches the MCP Inspector against the built serverWiring into Claude Desktop / Claude Code
Published on npm — one-line config, no local clone needed:
{
"mcpServers": {
"melt": {
"command": "npx",
"args": ["-y", "@themelt/mcp-server"]
}
}
}Or from a local clone:
{
"mcpServers": {
"melt": {
"command": "node",
"args": ["/absolute/path/to/mcp-server/dist/index.js"]
}
}
}One-click install (.mcpb bundle)
For Claude Desktop specifically, themelt-mcp-server.mcpb (Anthropic's MCP
Bundle format) installs with a
double-click — no terminal, no config file editing. Download the .mcpb from
the latest GitHub Release
and either double-click it or drag it into Claude Desktop's Settings window.
To rebuild it from source:
npm run build:mcpb # produces themelt-mcp-server.mcpbThe 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's tools array to match.
Hosted HTTP transport
dist/index.js (stdio) is what gets configured into a local Claude Desktop/
Cursor install. dist/httpServer.js is 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/mcpStateless by design — no session ID, a fresh server instance per request.
Auth is opt-in via MCP_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:httpEvery /mcp request then needs Authorization: Bearer some-long-random-value
— missing or wrong key gets a 401. Compared with crypto.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.
Tool-call analytics
Every tool call (success or error) appends one line to mcp-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 from leads.jsonl's PII. This is
what answers "is anyone actually using this" and "which tool description is
confusing models," independent of llmo-eval's citation-only audit.
Environment variables
Variable | Required | Purpose |
| No | Overrides the default HubSpot Portal ID for |
| No | Paired with |
| No | Port for |
| No | If set, requires |
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), so melt_request_scan reaches the real Melt pipeline with zero
configuration. If HubSpot submission fails for any reason, requests fall back
to mcp-server/leads.jsonl (gitignored) instead of being lost.
Publishing
Published under the @themelt npm org (created 2026-07-20, owner omer_melt)
under the MIT license. npm publish is 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.
Maintenance
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