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Melt MCP Server

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Melt: value-leak discovery and lead capture for Claude, Cursor, and MCP-compatible agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "melt-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "melt-mcp-server"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

@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 β€” 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 β€” see /CLAUDE.md for the full current product context.

Tools exposed

ToolWhat it does
melt_analyze_value_vectorsFree Stage-1 Sandbox estimator. Estimates where value is leaking in one department from headcount, labor cost, and dominant unstructured-input type. No integration required β€” synthetic/self-reported inputs only.
melt_estimate_annual_leakQuantifies an already-identified leak pattern in dollars/yr β€” totalVolume x (leakRatePct/100) x valuePerEvent, generalizing Melt's real "Anatomy of a Scan" methodology (a 29% Gong bypass rate, a 62% Clari override rate, etc., combined into a real $77,235/yr finding).
melt_request_scanLead-capture handoff β€” the move from a directional estimate to a real, log-verified scan (Frictionless POC Playbook Stage 1 β†’ 2). Routes to HubSpot if HUBSPOT_PORTAL_ID/HUBSPOT_FORM_ID are set, otherwise appends to a local leads.jsonl.

Worked example

From Melt's Anatomy of a Real AI Value Leak case study β€” a pre-IPO fintech with $1.5B in annual originations, already running Salesforce, Gong, and Clari:

SignalFinding
Gong coaching29% open rate β€” reps bypassing AI-generated call summaries and duplicating the work manually
Clari forecasting62% override rate β€” manual date entries corrupting the model across 8 of 13 forecast cycles
Salesforce β†’ CS handoff4.2-day lag delaying onboarding after close
Salesforce lead routing32% manual β€” automation failures requiring daily manual reassignment

None of this showed up as a problem in the usual adoption dashboards β€” 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 β€” totalVolume Γ— (leakRatePct/100) Γ— valuePerEvent β€” 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 Amountβ„’ / Delta Engine) β€” none of which appear in any current Melt material. See CLAUDE.md's "What's Explicitly Retired" section.

Install & run

bash
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:

Terminal
npm run inspect     # launches the MCP Inspector against the built server

Wiring into Claude Desktop / Claude Code

Published on npm β€” one-line config, no local clone needed:

config.json
{
  "mcpServers": {
    "melt": {
      "command": "npx",
      "args": ["-y", "@themelt/mcp-server"]
    }
  }
}

Or from a local clone:

config.json
{
  "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 β€” 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:

Terminal
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 β€” 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 β€” 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.

Terminal
npm run build
PORT=3000 npm run start:http   # POST MCP JSON-RPC to http://localhost:3000/mcp

Stateless by design β€” 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 β€” 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:

bash
MCP_HTTP_API_KEY=some-long-random-value PORT=3000 npm run start:http

Every /mcp request then needs Authorization: Bearer some-long-random-value β€” 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 β€” 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 β€” 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

VariableRequiredPurpose
HUBSPOT_PORTAL_IDNoOverrides the default HubSpot Portal ID for melt_request_scan (e.g. to test against a sandbox form).
HUBSPOT_FORM_IDNoPaired with HUBSPOT_PORTAL_ID.
PORTNoPort for start:http (default 3000).
MCP_HTTP_API_KEYNoIf set, requires Authorization: Bearer <key> on every hosted-HTTP /mcp request. Unset by default β€” stdio transport is unaffected either way (no HTTP surface to gate).

Real Portal ID / Form ID defaults are already baked into the code (they aren't secrets β€” 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 β€” 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.

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Melt MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "melt-mcp-server": { "command": "npx", "args": ["-y", "melt-mcp-server"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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