Melt Mcp Server

io.github.omer907由 GitHub 帳號 omer907 發布v0.1.6更新於 Oct 24, 2026

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

已驗證STDIO僅桌面資料與分析商業與電商

概覽

AI 產生的概覽

讓助理估算組織在哪些環節流失價值、量化年度金額損失,並送出掃描請求。

可以做什麼
提供三個工具。melt_analyze_value_vectors 是免費的 Stage-1 估算器,依人數、人力成本與主要非結構化輸入類型,推測某個部門的價值流失點,僅使用合成或自報資料。melt_estimate_annual_leak 以 totalVolume x (leakRatePct/100) x valuePerEvent 把已辨識的流失模式量化為每年金額。melt_request_scan 是潛在客戶收集交接,把請求送往 HubSpot,失敗時附加到本機 leads.jsonl 檔案。
適用情境
適合使用者詢問助理其組織在哪些環節流失價值、希望得到結構化估算而非通用廠商清單,或想把已知的流失模式換算成年度金額時使用。掃描請求工具用於從方向性估算推進到真實的、以日誌核驗的掃描。
執行需求
透過 stdio 在本機執行,通常使用 npx @themelt/mcp-server 或建置後的 dist/index.js,因此需要 Node.js。不需要帳號或 API 金鑰;HubSpot 入口網站與表單 ID 為選用覆寫項,預設值已內建。另有 HTTP 進入點但尚未部署。
安裝前請注意
melt_request_scan 預設會把潛在客戶資訊送往 HubSpot,失敗時寫入本機 leads.jsonl 檔案,因此聯絡資訊會離開本機。每次工具呼叫都會在 skew 本機 analytics.jsonl 附加一筆記錄。選用的 HTTP 傳輸在未設定 MCP_HTTP_API_KEY 時沒有身分驗證,端點預設完全開放。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Melt Mcp Server,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

@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

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 — synthetic/self-reported inputs only.
melt_estimate_annual_leakQuantifies an already-identified leak pattern in dollars/yr — 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 — the move from a directional estimate to a real, log-verified scan (Frictionless POC Playbook Stage 1 → 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 — a pre-IPO fintech with $1.5B in annual originations, already running Salesforce, Gong, and Clari:

SignalFinding
Gong coaching29% open rate — reps bypassing AI-generated call summaries and duplicating the work manually
Clari forecasting62% override rate — manual date entries corrupting the model across 8 of 13 forecast cycles
Salesforce → CS handoff4.2-day lag delaying onboarding after close
Salesforce lead routing32% 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

bash
cd mcp-servernpm installnpm run buildnpm start          # runs dist/index.js on stdio

To poke at it interactively before wiring it into a client:

bash
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:

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

Or from a local clone:

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 — 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:

bash
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'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.

bash
npm run buildPORT=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 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:

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 — 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

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 — 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 — 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.

來源:README.md,提交 830f1e0

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.6最新Sep 16, 2026

評分

已滿足適用檢查項的 50%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通25 分

    請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。

  • 已宣告認證方式10 分

    請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。

  • 已列出工具15 分

    請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。

  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分