saagarpatel.dev Portfolio

Agent-native MCP server over the public saagarpatel.dev corpus.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Agent-native MCP server over the public saagarpatel.dev corpus. Read-only, stateless.

    How to connect

    How to connect saagarpatel.dev Portfolio to Claude

    The server address to paste into Claude settings:

    https://mcp.saagarpatel.dev/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect saagarpatel.dev Portfolio to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.saagarpatel.dev/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect saagarpatel.dev Portfolio to Cursor

    The server address to paste into Cursor settings:

    https://mcp.saagarpatel.dev/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (8)

    Raw names from tools/list. Only developers need these.

    searchFull-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.
    get_documentReturn the full Markdown of one document by id, e.g. "writing/the-handoff" or "book/preface". Get ids from search or list_corpus.
    list_corpusList 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.
    get_profileReturn 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.
    list_projectsList 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_profilesList 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.
    get_repo_profileReturn one public-safe repo answering profile by repo_id, including purpose, safe commands, agent surfaces, proof refs, freshness, exclusions, limitations, and integrity metadata.
    get_operant_resultsReturn 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.