ZeroWidth Caliper
by FastDrop
Build datasets and rubrics, then run evals that score your AI in Caliper.
Build datasets and rubrics, then run evals that score your AI in Caliper. Official MCP Registry: ai.zerowidth/caliper@1.0.0. Remote endpoint: https://api.zerowidth.ai/mcp/x/caliper
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as ai.zerowidth/caliper and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
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Read directly from the endpoint on 7 Oct 2026. Not supplied by the maker.
search_docsSearch ZeroWidth product documentation. Returns matching pages with title, slug, public URL, and a query-relevant snippet. Use this when the user asks about a ZeroWidth product (Compass, Workbench, Ca
get_docFetch the full Markdown body of a specific docs page by its slug. Use this after `search_docs` when the user needs the complete content of a page. No authentication required.
list_docsEnumerate all available docs pages, optionally filtered by product (e.g. 'compass', 'legal', 'overview'). Use this to discover what slugs exist before calling `get_doc`. No authentication required.
caliper_datasets_getOne dataset with a page of its items — read this BEFORE editing items (caliper_datasets_update_item needs the item id) and before extending coverage, so you don't add cases that already exist. Items c
caliper_datasets_updateChanges a dataset's title, description, or visibility. Pass only what changes; items are untouched (use caliper_datasets_add_items / caliper_datasets_update_item / caliper_datasets_remove_item for tho
caliper_datasets_deleteDeletes a dataset. Evals bound to it stop being runnable (their binding shows datasetOk: false), and reviews/specs over its items lose their source — check caliper_evals_list for evals that reference
caliper_datasets_update_itemRewrites one item's content, keeping its id (ratings and eval results keyed to it stay attached). The item's KIND can't change — a Q&A item stays Q&A, a sequence stays a sequence — so pass the same sh
caliper_datasets_remove_itemDrops one item. Ratings and run results keyed to it are orphaned (kept in history, gone from the dataset). A dataset must keep at least one item. May return `needs_confirmation`.
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