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
SkillMIT★ 5No key
Google's managed remote MCP server for listing BigQuery datasets and tables and running SQL.
OfficialMCPLink only
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
A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interfac
Node.jsMIT★ 148No key
PythonGPL-3.0★ 6No key
Node.jsMITFew starsNo key
Node.jsMITFew starsNo 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
MCP server for patent search and prior art discovery powered by Google Patents public dataset
GoMIT★ 6No key
MCP Toolbox for Databases is an open source MCP server for databases.
OfficialGoApache-2.0★ 17kNo key
MCP Server for global patent data retrieval and analysis, powered by Google Patents Public Datasets on BigQuery. MIT.
PythonMIT★ 2Few starsNo key
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
Hosted by authorMIT★ 5.1kNo key
Pre-flight query cost and result-size guardrails for AI agents across BigQuery, Snowflake, and Databricks
PythonMIT★ 1Few 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
One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code
Node.jsApache-2.0★ 3.2kNo key
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
PythonMIT★ 11No key
MCP server for Google Ads, Meta Ads, GA4, TikTok Ads, and LinkedIn Ads. Manage 300+ ad operations from Claude, ChatGPT, Gemini, Cursor, or any AI client. Human-in-the-loop on every write.
Hosted by authorMIT★ 52No key
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data s
MCPLink only★ 18k
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
Who stands behind it
