io.github.321zz321/computefirst

ComputeFirst

Free deterministic tools for math, data transforms, dates, text, statistics, finance, and units.

Endpointhttps://computefirst.net/mcp (streamable-http)
Registry version1.0.0
Now15 tools · grade C (71) · pin ts_142f76a1a869fe4bd2b1f2175e304b5e · protocol 2025-06-18
First / last listed2026-10-26 06:20 UTC / 2026-10-26 06:20 UTC
Grade over time2026-10-26: C (71), 15 tools

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Timeline

First listing · 2026-10-26 06:20 UTC
15 tools, grade C (71)

Tools: search describe execute execute_batch savings feedback request_tool subscribe sign_in profile activity list_saved_tools save_tool remove_saved_tool report_savings

Current tools (15)

searchSearch the ComputeFirst catalog (computefirst.net/tools) with an English task. Returns up to 5 tools (3 by default) with id, version and a 0–1 score; a confident first match includes its input contract. No match: request_tool can ask for one.
params: query*, limit, include_contract
describeInput schema, limits and examples of one ComputeFirst catalog tool, by id and version.
params: id*, version*
executeRun one ComputeFirst catalog tool by id and version with its JSON input. Returns the deterministic result and an unmeasured savings receipt. Limits: computefirst.net/docs#limits.
params: id*, version*, input*, model
execute_batchRun 1–20 ComputeFirst catalog tools in one request. Optional bindings fill an input key from an earlier result (JSON Pointer); include_result:false omits an intermediate. Steps after a failed dependency are skipped; nothing is retried automatically. Each success is one execution. Inputs, results and response: 256 KiB each. A factory work budget can skip an item with batch_work_limit; finance and e
params: operations*, model
savingsSavings totals, optionally for one model: with a key, the account's measured and estimated totals; otherwise community verified totals. Unmeasured is not zero.
params: model
feedbackTell ComputeFirst what helped or went wrong (a missing tool fits request_tool). A stable request_id makes retries safe. Leave out secrets and raw data.
params: category*, message*, request_id*, execution_ref
request_toolAsk for a tool that does not exist yet: the task, optionally example input and output. Optional contact_email (with email_consent:true), only if the person wants one email when it ships. Leave out secrets.
params: description*, example_input, example_output, contact_email, email_consent
subscribeSubscribe an email to new-tool announcements, only when the person asks for them (consent:true). Every email has an unsubscribe link.
params: email*, consent*
sign_inOnly when the person explicitly asks for a free account (consent:true): creates one for their email (unverified) and returns an agent key once, for saved tools, history, personal savings and a higher limit. The person stores the key in their client settings; do not repeat it in the conversation. newsletter:true only if they ask.
params: email*, consent*, newsletter
profileThe signed-in account: keys, privileges and tool-request status. Without a key: signed_in:false and the optional extras.
params: none
activityThe account's recent calls and outcomes; pass next as before for older ones. Without a key: signed_in:false.
params: limit, before
list_saved_toolsTools saved in the account's library (id, version, note). Without a key: signed_in:false and no tools.
params: none
save_toolSave a tool id and version to the account's library, with an optional note (saving again replaces the note). Without a key nothing is saved.
params: id*, version*, note
remove_saved_toolRemove a tool id and version from the account's library. Without a key nothing changes.
params: id*, version*
report_savingsOptional, for the person: your model id and, if known, your own estimate of the tokens a call saved (estimated_tokens_saved). Returns its dollar value at public list prices; unknown stays null. A measured comparison adds task_id, baseline_id, baseline, actual, whole_task:true, execution_ref.
params: model*, provider, execution_ref, estimated_tokens_saved, task_id, baseline_id, baseline, actual, whole_task

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.