Ask Me

io.github.tounsils由 GitHub 帳號 tounsils 發布v0.1.0更新於 Oct 24, 2026

Ask about an operator's work, reusable patterns, availability and offer. Typed tools, eval-gated.

已驗證Streamable HTTP可網頁執行知識與記憶商業與電商

概覽

AI 產生的概覽

一個遠端人設伺服器,讓助理回答關於某位營運者的工作、可重用工程模式、檔期與顧問報價的問題。

可以做什麼
回答關於營運者目前重心、進行中的合作與垂直方向的問題,並附上信心標籤與來源引用。以公開安全的口徑概述具體的過往合作專案。對可重用工程模式目錄做關鍵字檢索。查詢 Playbook 與 Retainer 的剩餘名額及最早可開始日期。取得目前套裝報價的詳細內容。提供預約探索電話的說明與準備指引,但不代為安排時段。
適用情境
當你希望助理回答關於這位顧問的背景、已交付模式、檔期或報價的問題時適用,例如評估潛在合作或準備預約探索電話。
執行需求
透過 Streamable HTTP 提供、受 OAuth 2.1 保護的遠端 MCP 端點;清單宣告 OAuth 為必要。需使用支援 OAuth 的用戶端連線,或在用戶端設定中加入端點位址。本機 stdio 開發需要 Node.js 20+ 及儲存庫原始碼。
安裝前請注意
此伺服器是營運者顧問服務的行銷與銷售管道,包含付費合作的推銷內容。它拒絕議價,也不會自動安排通話。回答僅根據營運者的公開基礎資料,應視為其自述。託管端點要求 OAuth 驗證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Ask Me,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.tounsils%2Fask-me-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "ask-me": {
      "type": "http",
      "url": "https://ask-me-mcp-xi.vercel.app/api/mcp"
    }
  }
}

README

ask-me-mcp

A persona MCP server. Ask Claude / ChatGPT / Grok about the operator's work, patterns, availability, and offer — grounded in their public résumé, projects index, and offer page.

Reference implementation of the MCP-Server Harness pattern. This repo is a working example of the same architecture the operator sells as a productized 6-week engagement. If you like the shape, that's the sales pitch — see The pattern at the bottom.

What it does

Six typed tools any AI-assistant user can call:

ToolWhat it returns
get_current_focusCurrent allocation, active engagements, and the primary vertical wedge in progress.
get_engagement_summaryA specific engagement (NXT Robotics, AIMIA, Hydrostasis, Digital QR Card) described at a public-safe level.
search_reusable_patternsKeyword search over the operator's 12+ reusable engineering-patterns catalog.
check_availabilityHow many Playbook / Retainer slots are open + earliest next-open date.
get_offer_detailsCurrent bundled offer: MCP-Server Playbook + Fractional CTO Retainer.
book_discovery_callInstructions + prep guidance for booking a discovery call. Does not auto-schedule. Explicitly refuses to negotiate price.

Every response ships with a confidence label and a source citation. The server never invents; if the grounding data doesn't say it, the server doesn't say it.

Install (as a user)

The remote endpoint speaks MCP Streamable HTTP + OAuth 2.1. Three ways to connect:

1. Claude Desktop — connector directory ("Connect" button)

Add via the Claude Desktop UI: Settings → Connectors → Add custom connector → URL: https://ask-me-mcp-xi.vercel.app/api/mcp. Click Connect. The desktop client discovers OAuth metadata, registers as a client, exchanges tokens, and mounts the tools. No manual config.

2. Claude Desktop / Claude Code — config file (skip OAuth)

Add to claude_desktop_config.json — location varies by OS; see Claude Desktop config docs:

jsonc
{  "mcpServers": {    "ask-me": {      "url": "https://ask-me-mcp-xi.vercel.app/api/mcp"    }  }}

3. Claude Code CLI

bash
claude mcp add --scope user ask-me https://ask-me-mcp-xi.vercel.app/api/mcp

Local stdio (development)

For local stdio dev (no HTTP, no OAuth — auth doesn't apply to stdio):

jsonc
{  "mcpServers": {    "ask-me": {      "command": "node",      "args": ["/absolute/path/to/ask-me-mcp/dist/src/server.js"]    }  }}

Then in any Claude Code session:

what's Ilyes's current focus? what patterns has he shipped for LLM evaluation? is he available for a Playbook engagement in October?

Develop (as a maintainer)

Requirements

  • Node.js 20+
  • npm (or pnpm / yarn — package.json is npm-first)

Setup

bash
git clone https://github.com/tounsils/ask-me-mcp.gitcd ask-me-mcpnpm install

Run locally as a stdio server

bash
npm run dev

Point Claude Code or the MCP Inspector at the resulting process.

Build for production

bash
npm run build

Outputs to dist/.

Deploy to Vercel

bash
# Set the JWT signing secret (one-time; required for OAuth).vercel env add MCP_JWT_SECRET production# Paste a long random string. Generate one: `openssl rand -base64 48`.
vercel deploy --prod

The api/mcp.ts handler serves the Streamable HTTP transport with OAuth 2.1 protection — the format Claude's connector directory and ChatGPT's Apps SDK both use. See docs/oauth-flow.md for the full architecture.

Run the eval corpus

bash
npm run eval           # 15 tool cases against handlers directly (no HTTP)npm run eval:oauth     # 6-step end-to-end OAuth flow (needs MCP_JWT_SECRET)

The tool corpus fails the build if fewer than a threshold percentage of expected answers match. Pass or nothing ships.

The OAuth flow test exercises register → authorize → token → protected /api/mcp → 401 challenge → refresh — all in-process against Vercel-shaped mock req/res objects.

Repository layout

ask-me-mcp/├── src/│   ├── server.ts               # shared MCP server (used by both stdio + HTTP)│   ├── tools/                  # six typed tool implementations│   │   ├── getCurrentFocus.ts│   │   ├── getEngagementSummary.ts│   │   ├── searchReusablePatterns.ts│   │   ├── checkAvailability.ts│   │   ├── getOfferDetails.ts│   │   └── bookDiscoveryCall.ts│   ├── grounding/│   │   ├── data.json           # pre-extracted structured facts (v0)│   │   └── index.ts            # loaders + search helpers│   └── rails/│       └── confidence.ts       # confidence + source-citation wrapper; refusal helper│   └── oauth/                  # OAuth 2.1 + PKCE + anonymous DCR│       ├── config.ts           # issuer, scopes, TTLs, endpoint paths│       ├── jwt.ts              # HS256 sign/verify (via `jose`)│       ├── clientRegistry.ts   # client_id = signed JWT (no DB)│       └── codeGrant.ts        # auth code + access/refresh token + PKCE S256├── api/│   ├── mcp.ts                          # Vercel serverless entry (Streamable HTTP + Bearer auth)│   ├── health.ts                       # diagnostic (unauthenticated)│   ├── register.ts                     # RFC 7591 DCR│   ├── authorize.ts                    # authorization endpoint (auto-approves)│   ├── token.ts                        # token exchange with PKCE│   ├── oauth-protected-resource.ts     # RFC 9728 metadata│   └── oauth-authorization-server.ts   # RFC 8414 metadata├── eval/│   ├── corpus.json             # 15 tool cases + expected answers│   ├── runner.ts               # replays tool corpus, threshold-gated│   └── oauth-flow.ts           # 6-step OAuth end-to-end test├── docs/│   └── oauth-flow.md           # OAuth architecture + how to swap for real user identity├── package.json├── tsconfig.json├── vercel.json└── README.md

The pattern: the MCP-Server Harness

This project is a reference implementation of a pattern the operator ships to clients as a productized 6-week engagement — the MCP-Server Product Playbook.

The shape:

  1. Typed tool contract. Six JSON-schema-strict tools. Nothing free-form. The model can only invoke these, only with these arguments.
  2. Coordinator + specialists (extensible). v0 has one coordinator (the MCP server routing tool calls). v1 will add elicitation + supervisor agents inside more complex tools.
  3. Typed signal vector. Structured facts extracted from the grounding data. Not free-text.
  4. Versioned reasoning specification. The tool implementations ARE the reasoning spec — versioned in the code, not in a prompt.
  5. Rails + confidence. Every response carries confidence + sources + optional disclaimers. The model can display them.
  6. External grounding. The server queries src/grounding/data.json; the model never invents.
  7. Evaluation corpus + eval runner + certification. eval/corpus.json has expected answers; npm run eval replays them. Ships or doesn't.

If you're building a product that fits this shape (career guidance, medical triage, legal intake, financial planning, coaching, expert-system anything), the operator sells a 6-week fixed-scope engagement to ship it. See get_offer_details or email [email protected].

License

MIT. See LICENSE.

Attribution

Built by Ilyes Tounsi · Carlsbad, CA · tounsils.github.io.

來源:README.md,提交 6c3af7c

工具

0
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版本歷史

1
  1. v0.1.0最新Sep 16, 2026

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