MCP server
saagarpatel.dev Portfolio
io.github.saagpatel/portfolio-mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Agent-native MCP server over the public saagarpatel.dev corpus. Read-only, stateless.
Working at last checkAbout 1,074 tokens per request once connected8 tools
https://mcp.saagarpatel.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 8
- Token cost
- About 1,074 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 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-mcp https://mcp.saagarpatel.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.portfolio-mcp] url = "https://mcp.saagarpatel.dev/mcp"
Gemini CLI
{"mcpServers":{"portfolio-mcp":{"httpUrl":"https://mcp.saagarpatel.dev/mcp"}}}
Cursor
{"mcpServers":{"portfolio-mcp":{"url":"https://mcp.saagarpatel.dev/mcp"}}}
VS Code
{"servers":{"portfolio-mcp":{"type":"http","url":"https://mcp.saagarpatel.dev/mcp"}}}
Antigravity
agy mcp add portfolio-mcp https://mcp.saagarpatel.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-mcp","server_url":"https://mcp.saagarpatel.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"portfolio-mcp","server_url":"https://mcp.saagarpatel.dev/mcp"}
Tools
get_document~117 tokens
Return the full Markdown of one document by id, e.g. "writing/the-handoff" or "book/preface". Get ids from search or list_corpus.get_operant_results~122 tokens
Return the public, sanitized OPERANT results: per-model operator-calibration-score (OCS) profiles, the headline figures, and the calibration-profiles (not a flat leaderboard) framing. Sourced from the published OPERANT mirror. Returns availability=false if no dataset was baked.get_profile~84 tokens
Return Saagar Patel's profile: name, one-line summary, site, and the about / now / uses pages. Start here to understand who this is and what they work on.get_repo_profile~136 tokens
Return one public-safe repo answering profile by repo_id, including purpose, safe commands, agent surfaces, proof refs, freshness, exclusions, limitations, and integrity metadata.list_corpus~124 tokens
List every document with its id, title, type, date, and word count, plus per-type counts. The table of contents for the whole site. Optionally filter by type.list_projects~146 tokens
List the curated, public projects with stack, status, last-active date, and test/CI signals, plus anonymized portfolio-wide aggregates. Optionally filter by status.list_repo_profiles~160 tokens
List public-safe repo answering profiles with repo id, attention state, freshness, and proof counts. Profiles are static artifacts baked from saagarpatel.dev, not live repo health.search~185 tokens
Full-text (BM25) search across all essays, book chapters, and field notes. Returns ranked matches with a snippet, id, and canonical URL. Pass an id to get_document to read the full text.
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