"Information or resources about data" matching MCP connectors:
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Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Find novel, statistically validated patterns in tabular data — hypothesis-free.
Auto-discover validation rules from data — scan, profile, health-score. No rules to write.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
Vérification B2B française : SIRET, SIRENE, dirigeants RNE, santé d'entreprise. Hébergé en France.
Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.
China's apparel supply chain data for AI: 1,000+ suppliers, 350+ fabrics, 170+ clusters.
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications
A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.
Read-only MCP server for The Quiet Protocol's engines, benchmarks, proof, and business data.
Interact with your Google Cloud Firestore resources using natural language commands.
MCP server for the HubSpot Integrations Center HubDB: search and retrieve integration data.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
B2B data enrichment for 375M+ companies: legal entities, corporate hierarchies, and contacts.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.