ai.baselight/baselight
ai.baselight/baselight · v1.0.0 · MCP 2025-11-25
Query Baselight's public catalog of 70,000+ datasets — finance, demographics, sports, and more.
Reachability
reachable
checked 2026-07-14 03:01 UTC
Registry status active
Tools pinned 9
ae8b8a903f2b
Tools last changed
unchanged since first capture 2026-07-14
Provenance
Registry namespace ai.baselight
(domain verified by the official registry)
Website
https://baselight.ai
Remote endpoints
https://api.baselight.app/mcp (streamable-http)
Observed changes
| When (UTC) | Event | Detail |
|---|---|---|
| 2026-07-14 03:01 | first capture | 9 tools pinned |
Pinned tool definitions (9)
| Tool | Description |
|---|---|
| baselight_ping | Simple ping test to verify MCP server is responding |
| baselight_search_catalog | Search the catalog for datasets using a text query and filters. Datasets in Baselight have the following format: @username.dataset. Datasets can be public or private — you can search and use all public datasets as well as the user's... |
| baselight_search_tables | Search for tables using a text query and filters. Tables in Baselight have the following format: @username.dataset.table. Tables are grouped into datasets which can be public or private — you can search and use all public datasets as... |
| baselight_get_dataset_metadata | Retrieve detailed schema and metadata for a specific dataset using Baselight format @username.dataset. Use this after discovering datasets to understand their structure before querying. Tables within datasets follow the format... |
| baselight_get_dataset_tables | Retrieve a paginated list of tables from a specific dataset using Baselight format @username.dataset. Use this tool to browse datasets with many tables or to search for specific tables within a dataset. Each page returns up to 100... |
| baselight_get_table_metadata | Retrieve detailed schema and metadata for a specific table using Baselight format @username.dataset.table. Use this to understand table structure, column types, and constraints before writing SQL queries. Tables must be referenced in... |
| baselight_get_user | Retrieve detailed information about a Baselight user including their profile bio, website, and public datasets. Use this to understand who owns datasets you're interested in. |
| baselight_sdk_query_execute | Execute a SQL query on Baselight and wait for results (up to 1 minute). The query executes and returns the first 100 rows upon completion, or info about a pending query that needs more time. Use DuckDB syntax only, table format... |
| baselight_sdk_get_results | Retrieve results from a previously executed SDK job using the resultId from `sdk-query-execute`. If the query is complete, returns results immediately. If still pending, polls for up to 1 more minute. Use this after `sdk-query-execute`... |
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