Fmind Freelance AI Architect Website

io.github.fmind由 GitHub 账号 fmind 发布v2.8.1更新于 Nov 8, 2026

Read-only access to Fmind's portfolio, articles, and sites.

发布方自己的服务：PortfolioFit

已验证Streamable HTTP可网页运行知识与记忆数据与分析

服务详情

标识符: io.github.fmind/portfolio
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 fmind。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.fmind%2Fportfolio.svg)](https://sourceweft.com/mcp/io.github.fmind%2Fportfolio?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

只读的远程 MCP 服务器，提供某位自由职业 AI 架构师的个人档案、文章、服务，以及 LLM 托管与 MCP 上下文成本计算器。

可以做什么: 读取个人档案：身份、头衔、联系方式、社交账号与专长领域
列出工作经历、认证、出版物、开源项目与 YouTube 系列
按相关度搜索已发布文章，并读取带日期与规范链接的完整 Markdown 文章
列出提供的专业服务及其可用性与预约方式
比较 GKE 基础设施预算与托管 API 的成本，并估算 MCP 服务器每次请求额外增加的工具定义 token 费用
适用场景: 当需要助手回答关于这位架构师的背景、文章或咨询服务的问题，或想在对话中直接运行内置的 LLM 托管与 MCP 上下文成本对比时适用。
运行要求: 使用提供方网站上的远程 streamable HTTP 端点；未声明任何软件包、账号、API 密钥或环境变量。

安装前请注意

内容仅限个人作品集且为只读；成本计算器基于预设与假设给出估算，结果仅供参考，不宜视为权威数据。

安装

在 SourceWeft 中

打开控制台中的 Fmind Freelance AI Architect Website，将其添加到工作区。
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.fmind%2Fportfolio/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。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "fmind-freelance-ai-architect-website": {
      "type": "http",
      "url": "https://www.fmind.dev/mcp"
    }
  }
}

README

该仓库没有 README。

工具

get_profile

Get profile

Return the core profile: identity, headline, job title, contact, socials, biography, and areas of expertise.

无需输入参数。

list_experience

List work experience

List professional work experience: companies, roles, descriptions, and skill tags.

无需输入参数。

list_certifications

List credentials

List professional certifications, badges, and course specializations with their issuers.

无需输入参数。

list_publications

List publications

List academic and written publications: the PhD thesis, peer-reviewed papers, and hosted articles.

无需输入参数。

search_articles

Search articles

Search the hosted articles by relevance (BM25 over titles, tags, descriptions, and full text) and return the best matches. Use it to answer what Fmind has written about a topic instead of listing every publication.

输入参数taglimitquery必填

list_projects

List projects

List open-source projects and educational YouTube series.

无需输入参数。

get_services

Get professional services

List the professional services on offer (AI architecture advisory and mentoring) with availability and how to book.

无需输入参数。

get_article

Read an article

Read a public article's complete Markdown, dates, canonical URL, and hosted section links. Use a slug from search_articles; unknown and draft articles are unavailable.

输入参数slug必填

compare_llm_hosting

Compare LLM hosting costs

Compare a GKE infrastructure budget with managed APIs. Call with parameters={} for defaults and supported models, hardware, and plans. Simple mode accepts preset, model, billing, requests (calls/day), and window (auto, 24, 8, or 1 hour/day); set mode=simple when overriding requests. It sizes replicas under illustrative throughput assumptions. Interactive presets run 24/7; job and pipeline presets schedule running hours inside active windows. Commitments bill idle hours. Advanced mode keeps the fleet fixed and exposes custom token budgets, throughput, and running time. Break-even holds that fleet fixed and checks its capacity. Totals include compute and GKE; operations and additional services are excluded. Returns assumptions, USD costs, GPU/TPU accelerator comparisons, constraints, sources, and a shareable URL. Invalid inputs fail; no resources are provisioned. See /agents#calculator.

输入参数parameters必填

compare_mcp_context_cost

Compare MCP context costs

Count the tool-definition tokens that measured MCP servers (GitHub default toolset, Filesystem, Memory, Playwright) add to every model request, then price them as standard input for the managed APIs in the hosting snapshot. Omit servers for all four. Returns tokens per request and month, context share and USD per 1,000 requests and per 30-day month for each model, dated sources, limitations and a shareable page URL. Reference tokens, not provider billing. See /agents#mcp-context.

输入参数serversrequests_per_day