io.github.eftpmc/skeletable

up checked 2026-11-11T15:37:40.244Z

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Publisher-provided title

Skeletable

Publisher-provided description

Source-backed public tables with citations, claim checks, and reviewable corrections.

Summary by lookupd

Create, fill, and export source-cited tables, check claims against sources, and propose reviewed corrections to cell values.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http skeletable https://skeletable.com/mcp

Codex, remote (streamable-http)

codex mcp add skeletable --url https://skeletable.com/mcp

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

{
  "mcpServers": {
    "skeletable": {
      "url": "https://skeletable.com/mcp"
    }
  }
}

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

Tools (16 tools)

Publisher-provided text

• list_tables Find tables in the library. Each result gives its slug, the question it answers, its size and when it was last read.
• get_table Read a table: its scope, its columns with the rule for each, a summary of what each column holds, and its rows. A null value is blank. `origins` says where a ro
• get_cell The evidence for one value: the source, the exact quote, what kind of source it is and when it was read. For a missing value, where we looked, and `absent` mean
• check_claim Test a statement against one cell, such as whether a value in a draft or an answer is right. The verdict is `matches`, `differs` (with what the source states),
• export_table A table as CSV, ready to save as a file or load into a notebook. The first column is each row's name unless `names` is false. `columns` picks columns by id, in
• propose_change Suggest a new value for a cell, with its proof. The quote must be word for word from the source and state the value. The owner reviews it before anything change
• create_table Make a private draft table, ready to fill, for anything from a tracker to a dataset. Its values say where they came from unless you set `proof` to `required`. O
• add_columns Add columns to a draft you run, such as a blank one a person started. Returns the new column ids for fill_cells. Needs a token.
• add_rows Add up to 500 rows to a table you run. Each row is a name, or an object with its `values` by column id or label, so a whole tracker or dataset goes in a few cal
• fill_cells Set up to 200 cells of a table you run. Usually a cell gives `value` and `origin` (`entered`, `imported` with a `note` like the file or email it came from, `lin
• data_link A private address that loads a table you run as CSV, for a notebook, a script or a spreadsheet, with the lines to do it. Add `?columns=a,b` to pick columns and
• save_version Freeze a table you run as it stands now, as a numbered version with a lasting link that never changes. Do this before training on a dataset or citing a table, a
• fork_table Copy a table into your own account as a private draft, to extend or relabel: any published public table, or one you run. Every value keeps its proof or origin,
• set_instruction Make a column an AI column, change its instruction, or turn it back into a plain column with an empty one. The instruction says what to work out for each row an
• next_ai_cells The next prompts to answer for a table's AI columns, up to 200 at a time: blank cells first, then answers whose row or instruction has changed. Answer each prom
• fill_ai_cells Save up to 200 answers to an AI column, each with the `row` and `basis` next_ai_cells gave it. An answer outside the column's choices, or to a prompt that has s

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 179 ms
• First indexed: 2026-11-01T23:17:12.856Z
• Last seen in registry: 2026-11-01T23:17:12.856Z
• Repository: https://github.com/eftpmc/skeletable
• Website: https://skeletable.com/developers

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