MCP server
Fmind Freelance AI Architect Website Official
io.github.fmind/portfolio
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Read-only access to Fmind's portfolio, articles, and sites.
Working at last checkOfficial: fmind.dev's GitHub account (fmind)About 1,410 tokens per request once connected10 tools
https://www.fmind.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- fmind.dev (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 10
- Token cost
- About 1,410 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http portfolio https://www.fmind.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.portfolio] url = "https://www.fmind.dev/mcp"
Gemini CLI
{"mcpServers":{"portfolio":{"httpUrl":"https://www.fmind.dev/mcp"}}}
Cursor
{"mcpServers":{"portfolio":{"url":"https://www.fmind.dev/mcp"}}}
VS Code
{"servers":{"portfolio":{"type":"http","url":"https://www.fmind.dev/mcp"}}}
Antigravity
agy mcp add portfolio https://www.fmind.dev/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"portfolio","server_url":"https://www.fmind.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"portfolio","server_url":"https://www.fmind.dev/mcp"}
Tools
compare_llm_hosting~370 tokens
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 replicacompare_mcp_context_cost~302 tokens
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 shaget_article~119 tokens
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.get_profile~65 tokens
Return the core profile: identity, headline, job title, contact, socials, biography, and areas of expertise.get_services~67 tokens
List the professional services on offer (AI architecture advisory and mentoring) with availability and how to book.list_certifications~64 tokens
List professional certifications, badges, and course specializations with their issuers.list_experience~60 tokens
List professional work experience: companies, roles, descriptions, and skill tags.list_projects~52 tokens
List open-source projects and educational YouTube series.list_publications~66 tokens
List academic and written publications: the PhD thesis, peer-reviewed papers, and hosted articles.search_articles~245 tokens
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.
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