Mostly Right

Name: Mostly Right
Author: md.mostlyright

MCP serverMCP

Search, sample and query open reproducible datasets published as immutable Parquet with schemas.

by md.mostlyrighthomepage ↗v2.0.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability104/104 checks ok

Tools observed via MCP handshake

search_datasets — Full-text search over every public dataset on Mostly Right. No account needed. Example: {"query": "hourly airport weather observations", "limit": 10}. Returns {
get_dataset — One dataset's overview: title, summary, topics, publisher, publication and update dates, canonical page URL, star and table counts, and every table with its id,
list_tables — The tables in one dataset, without the full column schemas — the cheap call when you only need table ids and titles. Example: {"dataset_slug": "kden-metar-hourl
get_table_schema — One table's columns (name, type, and any published profile such as null counts, distinct counts or ranges), its immutable version_id, and its capabilities: whet
sample_rows — The publisher's materialized preview of a table — real rows, no account, no query cost. 20 rows by default, 100 at most, and they are always the same rows: this
get_download_instructions — The exact URL, HTTP method and header for downloading one table's current immutable Parquet snapshot, plus whether the publisher enabled it. Example: {"table_id
get_access_instructions — What this server does anonymously, what needs an account, the two API key classes and what each unlocks, the OAuth option, the signup URL, and the numbered step
search — Search every public dataset on Mostly Right and return up to 20 matches as {results: [{id, title, url}]}, where `id` is the dataset slug and `url` its canonical
fetch — The full public document for one dataset as Markdown: summary, facts, access instructions, and every table with its columns, types, descriptions and units. No a
query_table — A bounded, structured query over one table's current version. NO SQL: send columns, filters, order_by, aggregates, group_by and limit as JSON. Example: {"table_
catalog_search — Search a sealed snapshot of public data sources for feeds that might answer a question — the first move when you need a source and do not already know one. Exam
list_connected_datasets — The public datasets the authenticated workspace has used so far. Takes no arguments. query_table is not limited to this list: a key reads any public dataset (co
connect_dataset — Connects one public dataset to the authenticated workspace so its tables become queryable and downloadable. This is the gate every keyed read passes. Example: {
create_dataset — Creates an empty dataset in your workspace and returns its ids. A dataset is the container a recipe binds to; it exists before it has a description, a recipe or
update_dataset — A changed nonblank description generates a factual dataset name and topic tags, except a name or tags someone chose in an earlier update, which stay. The name g
list_my_datasets — Every dataset this workspace owns, most recently updated first — not the public catalog. Use it to find the dataset_id for a dataset you or a colleague created
get_my_dataset — One workspace dataset in build terms: name, description, status, each table with its build state, promotion state and live version, the latest run, and any run
register_recipe — Registers the JSON recipe that says where the data comes from, how it is shaped and what must be true of it. The server canonicalizes the document and computes
propose_revision — Registers a proposed revision and returns its immutable recipe coordinates plus a review link. It then starts EXACTLY ONE run: a replay of the named successful
replay_run — Runs a registered recipe revision against the retained raw inputs of a named successful run of the same table. No upstream acquisition is performed. Replay must
start_run — Runs a registered recipe. THIS IS THE TOOL THAT DOES THE REAL WORK: it reads the sources and can run for a long time. Start builds in full mode: full runs use o
confirm_run — Authorizes a held run and starts it. The numbers are the ones already stored on the run — you cannot restate them, which is the point: what is authorized is the
approve_full_run — Compatibility for an existing legacy full run paired with a bounded preview, in awaiting_sample_approval. New full builds use progressive acquisition and never
cancel_run — Stops a run that is queued, held at the confirmation gate, or running. A run cancelled at the gate never ran. Example: {"run_id": "…"}. Returns the run receipt
get_run — One run's current state: status, mode, the clamps it ran under, rows delivered and whether a clamp truncated them, how many pages a many-page source reached, th
run_events — Opens the run's event stream, collects up to max_events, and returns as soon as the run reaches a terminal event or wait_seconds elapses — whichever comes first
list_runs — The workspace's own runs, newest first, optionally narrowed to one dataset, one status or one mode. Example: {"dataset_id": "…", "status": "failed", "limit": 20
query_run — Runs one read-only SQL statement over the parquet a run sealed, and waits for the answer. THIS IS HOW YOU CHECK THE DATA IS RIGHT before promoting anything: cou
run_artifacts — The files a run sealed: the parquet, the column profile, the receipt, the preview. Works on a running, succeeded or failed run — a failed run's partial output i
get_artifact_download — Mints a short-lived signed URL for one sealed artifact. Fetch it yourself with a plain GET and no headers; it expires. Example: {"run_id": "…", "artifact_id": "
write_note — Appends one cell to a run's or a dataset's decision record — why a source was chosen, what a check found, what you changed and why. The record is append-only an
promote_table — Promotion makes the table's newest passing version the version everyone reads, and starts the recurring refresh that keeps it current. Example: {"table_id": "…"
get_table — One table as the builder sees it: whether it is promoted, which version is live, the refresh schedule and what the platform has learned about its rhythm, when i
diagnose_table — Reads one table's current promotion pointers and latest recorded failure. When that failure names a run, it also reads that run and its declared recipe sources,
list_source_credentials — Lists named secret metadata and saved workspace connections without secret values. Pass dataset_id to check dataset grants. Follow connections.next_offset with
normalize_reader_options — Resolves the certified Reader family and version and returns default-filled canonical decode options. Validates options only; it does not acquire or decode byte
start_source_inspection — Prepares an HTTPS source, opens a bounded research session and queues a source_inspect probe. Returns session_id, probe_id, source_id and limits; it does not wr
get_source_inspection — Reads one source inspection by session_id and probe_id. Returns bounded evidence with status queued, complete, truncated or failed. A missing legacy endpoint is

when	check	result	http	latency	detail
20 min ago	mcp initialize	ok	200	142 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
6 h ago	mcp initialize	ok	200	167 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
13 h ago	mcp initialize	ok	200	166 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
20 h ago	mcp initialize	ok	200	196 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
26 h ago	mcp initialize	ok	200	135 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
32 h ago	mcp initialize	ok	200	202 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	136 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	142 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	153 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	157 ms	server mostlyright 2.0.0 · protocol 2025-06-18 · 38 tools

Mostly Right

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