com.ainetcafe/ai-netcafe

up checked 2026-11-10T23:37:33.177Z

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Publisher-provided description

Tables and ledgers checked by arithmetic, not by a model. 24 tools. MCP 2026-07-28 ready.

Summary by lookupd

Cleans, diffs, and merges CSV and tables, extracts PDF and invoice data, reconciles ledgers, fetches pages, searches the web, and stores…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http ai-netcafe 'https://ainetcafe.com/mcp?s=registry'

Claude Code, npm package (stdio)

claude mcp add ai-netcafe -- npx -y ai-netcafe

Claude Code, pypi package (stdio)

claude mcp add ai-netcafe -- uvx ai-netcafe

Codex, remote (streamable-http)

codex mcp add ai-netcafe --url 'https://ainetcafe.com/mcp?s=registry'

Codex, npm package (stdio)

codex mcp add ai-netcafe -- npx -y ai-netcafe

Codex, pypi package (stdio)

codex mcp add ai-netcafe -- uvx ai-netcafe

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "ai-netcafe": {
      "url": "https://ainetcafe.com/mcp?s=registry"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "ai-netcafe": {
      "command": "npx",
      "args": [
        "-y",
        "ai-netcafe"
      ]
    }
  }
}

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "ai-netcafe": {
      "command": "uvx",
      "args": [
        "ai-netcafe"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (showing 30 of 34)

Publisher-provided text

• what_can_you_do Describe a task in plain language (any language) and get back exactly which tools on this server do it, with ready-to-run example calls — instead of reading the
• list_apps List the open-source AI applications hosted and ready to run at AI NetCafé (ainetcafe.com). Each one normally requires local setup (Docker/Python + your own mod
• get_app Full details of one hosted application: what it does, how to use it, measured benchmark scores, source repository, and the URL a human can open to run it. Examp
• ask_model Send a prompt to one specific large language model and get the answer plus measured platform cost metadata. The beta platform covers the user charge ($0.00); ca
• compare_models Run one prompt across multiple LLMs in parallel and return every answer side by side with measured platform cost metadata and latency. The beta platform covers
• list_models List every model currently available in the free beta with reference input/output rates and health metadata. Those rates are platform cost metadata only; every
• remember Persist a durable memory: an architecture decision, a stable user preference, a verified bug fix, or an important discovery. The free beta provides a bounded pe
• recall Retrieve previously stored memories, optionally filtered by search query and/or project. Call at the start of work on a known project to restore context: why de
• web_search Search the live web through a self-hosted SearXNG meta-search (aggregates dozens of engines, no tracking). Returns titles, URLs and snippets. Use when you need
• fetch_page Fetch a public URL and return clean LLM-ready Markdown from the server-rendered response. This tool does not execute browser JavaScript; for SPA or empty-text p
• model_costs Measured platform cost metadata for one call on each model; your charge is $0.00 during the free beta. Vendors publish per-million-token list prices, but a call
• ai_visibility Audit a URL for AI visibility: which AI crawlers robots.txt actually allows (parsed per user-agent group, not keyword-matched), whether llms.txt / sitemap / JSO
• pdf_to_markdown Convert a PDF (or a scanned page image) into clean Markdown that keeps headings, lists and tables, and puts multi-column pages in the right reading order. Text-
• extract_tables Extract tables from a PDF into structured rows (JSON + CSV). Pass fields to force a fixed set of columns — that aligns a pile of documents that each name their
• extract_statement Turn a bank statement or transaction PDF into a clean transaction table (JSON + CSV), then cross-check it: opening + credits - debits must equal the stated clos
• json_yaml Converts JSON to YAML or YAML to JSON. It works out which one you gave it, so you do not have to say. A parse failure comes back with the parser message instead
• validate_json Checks that text parses as JSON, and optionally that required keys are present with the right top-level types. Returns the specific violations, not just true/fa
• diff_text Returns which lines were added and which were removed, with line numbers — computed with a longest-common-subsequence, not guessed by a model. Use to compare tw
• jwt_decode Decodes the header and payload of a JWT and reports issued-at / expiry as readable timestamps plus seconds remaining. The signature is NOT verified and the resp
• regex_test Runs a regular expression against sample text and returns every match with its position and capture groups (named groups included). Use before wiring a pattern
• diff_tables Matches rows across two CSVs on a key column and reports three things: keys only in A, keys only in B, and keys in both whose other columns disagree — naming th
• clean_table Tidies a spreadsheet export: removes duplicate rows, trims whitespace (half-width and full-width — Chinese exports are full of 　), unifies the half-dozen ways a
• merge_tables Combines up to 20 CSVs into a single table. Headers do not have to match: columns are unioned and a file missing a column contributes blanks for it, so rows nev
• reconcile_ledger Reconciles two sets of records — your books against a bank, platform, or supplier statement. Matches rows on a key column, compares an amount column, and return
• extract_invoices Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is
• create_task Create a task that runs on a schedule in our cloud — you do not keep anything running. It only notifies you when the result actually changes. Kinds: watch_page
• list_tasks Show scheduled tasks, next run times, run counts, and measured platform cost metadata. User charge is $0.00 during the beta.
• get_task_runs Recent runs of one scheduled task: what it returned, whether the result changed, and measured platform cost metadata. User charge is $0.00.
• delete_task Stop and remove a scheduled task and its run history.
• transpile_sql Convert a SQL statement from one dialect to another — mysql, postgres, sqlite, tsql, oracle, snowflake, bigquery, redshift, spark, hive, presto, trino, duckdb,

Details

• Version: 1.7.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 2128 ms
• First indexed: 2026-11-01T08:52:47.525Z
• Last seen in registry: 2026-11-01T08:52:47.600Z
• Repository: https://github.com/mario03690/ai-netcafe
• Website: https://ainetcafe.com/mcp.html

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