MCP servers and skills: search, filter by where they run, and compare.
Practical MCP server for large BigQuery datasets. Supports vector search. Keep LLM context small while staying fast and allowing only safe read-only actions.
PythonMIT★ 10No key
A MCP server for Google's BigQuery database
PythonMIT★ 10No key
Read-only BigQuery MCP server — ask data questions in plain language via Claude/any MCP client
PythonMITFew starsNo key
A Model Context Protocol server that provides access to BigQuery
PythonMIT★ 131No key
Minimal, read-only BigQuery MCP server with explicit guardrails: dry-run checked SELECT only, dataset allowlist, cost cap. stdio or private Cloud Run.
PythonMIT★ 4Few starsNo key
PythonGPL-3.0★ 6No key
USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagr
PythonMIT★ 200No key
Pre-flight query cost and result-size guardrails for AI agents across BigQuery, Snowflake, and Databricks
PythonMIT★ 1Few starsNo key
MCP Server for global patent data retrieval and analysis, powered by Google Patents Public Datasets on BigQuery. MIT.
PythonMIT★ 2Few starsNo key
Full-Funnel AI Marketing Analytics. A modern data stack powered by dbt MetricFlow and MCP. Natural language insights across Google/Meta Ads, CRM, and 5 data warehouses. Includes XGBoost lead scoring a
PythonMIT★ 25No key
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
PythonMIT★ 11No key
The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset
PythonAGPL-3.0★ 131No key
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
PythonMIT★ 236No key
Give your AI agents clinical database access, research automation, and clinician-reviewed domain knowledge for MIMIC-IV, eICU, and more.
PythonMIT★ 46No key
dst (data serve tool) — open-source semantic layer and MCP server between the AI your team uses and your data warehouse. Governed answers with the SQL, a grade and a receipt.
PythonApache-2.0★ 16No key
Avrotize is a command-line tool for converting data structure definitions between different schema formats, using Apache Avro Schema as the integration schema model.
PythonApache-2.0★ 132No key
Catch breaking dbt schema changes before dbt run executes them: dropped columns, the downstream models and data tests they break, contract violations. Static analysis of compiled SQL, no warehouse con
PythonApache-2.0★ 2Few starsNo key
MCP server for text2sql-framework. Ask any SQL database questions in natural language — works with Claude Desktop, Cursor, Goose, and any MCP-compatible assistant.
PythonMIT★ 1Few starsNo key
PythonMIT★ 6No key
An MCP server (and a CLI) that lets an LLM query your databases in natural language through a business semantic layer — glossary, metric definitions, data dictionary, knowledge base, and example queri
PythonMIT★ 3Few starsNo key
Your entire data pipeline. One platform
PythonAGPL-3.0Few starsNeeds a key
Who stands behind it
