Misata Studio: verified synthetic data

studio.misata/misata · v1.0.0

Hosted: plan and build multi-table test and demo data, export 25 formats, with checks shown.

MCPremoteno credentialsScience & open dataFiles & storageDatabases

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 12 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 91/100

What it does: 12 tools · 8 read, 4 write (incl. delete/pay) · Messaging, Databases, AI & LLM

Test call whoami: worked (1,046 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +1
Read/write annotations: +5
Safe test call: +20
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://api.misata.studio/mcp

Tools

12 tools listed at last check

whoami Which account this connection is, and what it may do: signed in with a Studio MCP key or anonymous, the row cap, and whether a model key is available for plain-English requests.
plan_dataset See the tables, sizes and relationships the engine would build, before any rows exist. Free (no rows are made), so it is worth calling before generate_dataset on anything non-trivial: review what it understood and assumed, then adjust your request or schema before spending a real call.
blueprint_guide The reference for the engine's full design language (the `blueprint` argument of generate_dataset, start_generation and validate_blueprint): roles, distributions, formulas that read parent columns and draw noise, per-group sequences (seq, lag, cumsum, ar1 drift, random walk), aggregates, eve
validate_blueprint Check a blueprint before generating it: every error said as what to change, the design traps it falls into (a column that will round away, a copy of a value not made yet, a window that counts nothing), its size against your row cap, and a small preview run (a few thousand rows) with the
generate_dataset Make a verified relational dataset and wait for it: every foreign key checked, dates correctly ordered, declared aggregates and rates exact, before anything is returned. Deterministic for a seed. Use this when you give a `schema` or `ddl` (seconds). For a plain-English `request` the engine
start_generation Start a generation in the background and return a job_id at once. Use it for any plain-English `request` (a model designs the tables, which takes minutes) — then call get_status(job_id) every 20-30 seconds until it says done. Arguments are the same as generate_dataset. Returns:
get_status Where a start_generation job is. While running: the stage it is in and how long it has run. When done: the same answer generate_dataset returns (dataset_id, verification, tables, certificate).
cancel_generation Stop a running start_generation job. It stops at the next stage boundary and keeps nothing.
get_certificate The full certificate for a dataset made by generate_dataset: every claim (stated vs actual), every requirement's status and evidence, realism findings, planted defects/anomalies if any, and the pattern charts. This is the whole answer key, not the trimmed form generate_dataset returns.
query_dataset Read-only SQL over a dataset's own tables (one SELECT/WITH statement; every table name is a view over that dataset's own files — nothing else on the server is reachable this way). Args: dataset_id: from a prior generate_dataset call. sql: a single SELECT (or WITH ...
export_dataset Export a generated dataset as a file. Returns a `download_url` the person can open (or you can fetch, e.g. with curl) for as long as the dataset is held, about 2 hours. Give the person the link rather than pasting file contents into the chat. Args: dataset_id: from a prior gener
find_ready_dataset The ready-made datasets Misata publishes: free sample databases (direct download, public domain) and premium datasets with a full answer key (a free preview, then a one-off price). Check this first when someone wants sample, demo, practice or teaching data for a common scenario (retail,

Badge

Markdown for your README

[![Connect-MCP](https://clawy.uk/mcp/badge/studio.misata/misata.svg)](https://clawy.uk/mcp/s/studio.misata/misata)

Website