
Ask Me
io.github.tounsils由 GitHub 账号 tounsils 发布v0.1.0更新于 Oct 24, 2026
Ask about an operator's work, reusable patterns, availability and offer. Typed tools, eval-gated.
概览
一个远程人设服务器,让助手回答关于某位运营者的工作、可复用工程模式、档期与咨询报价的问题。
- 可以做什么
- 回答关于运营者当前重心、在进行的合作与垂直方向的问题,并附带置信度标签和来源引用。以公开安全的口径概述具体过往合作项目。对可复用工程模式目录做关键词检索。查询 Playbook 与 Retainer 的剩余名额及最早可开始日期。获取当前打包报价详情。提供预约探索电话的说明与准备指引,但不代为排期。
- 适用场景
- 当你希望助手回答关于这位顾问的背景、已交付模式、档期或报价的问题时适用,例如评估潜在合作或准备预约探索电话。
- 运行要求
- 通过 Streamable HTTP 提供、受 OAuth 2.1 保护的远程 MCP 端点;清单声明 OAuth 为必需。需使用支持 OAuth 的客户端连接,或在客户端配置中添加端点地址。本地 stdio 开发需要 Node.js 20+ 及仓库源码。
安装
在 SourceWeft 中
- 打开 控制台中的 Ask Me,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.tounsils%2Fask-me-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"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:
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:
3. Claude Code CLI
Local stdio (development)
For local stdio dev (no HTTP, no OAuth — auth doesn't apply to stdio):
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
Run locally as a stdio server
Point Claude Code or the MCP Inspector at the resulting process.
Build for production
Outputs to dist/.
Deploy to Vercel
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
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
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:
- Typed tool contract. Six JSON-schema-strict tools. Nothing free-form. The model can only invoke these, only with these arguments.
- Coordinator + specialists (extensible). v0 has one coordinator (the MCP server routing tool calls). v1 will add elicitation + supervisor agents inside more complex tools.
- Typed signal vector. Structured facts extracted from the grounding data. Not free-text.
- Versioned reasoning specification. The tool implementations ARE the reasoning spec — versioned in the code, not in a prompt.
- Rails + confidence. Every response carries
confidence+sources+ optionaldisclaimers. The model can display them. - External grounding. The server queries
src/grounding/data.json; the model never invents. - Evaluation corpus + eval runner + certification.
eval/corpus.jsonhas expected answers;npm run evalreplays 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.
来源:README.md,提交 6c3af7c
工具
0版本历史
1- v0.1.0最新Sep 16, 2026
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