"General information or resources about data" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Live data-center, grid, fiber & gas infrastructure intelligence for AI agents — query and cite.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Find novel, statistically validated patterns in tabular data — hypothesis-free.
Search the Perfume Picks fragrance database: 13,000+ scents with notes, dupes, and wear data.
Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.
Search, compare & filter 102,191 European car variants — 180 specs, 19 languages, EV data.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Public-registry routing map by entity kind. Read-only reference data, not a determination.
Vérification B2B française : SIRET, SIRENE, dirigeants RNE, santé d'entreprise. Hébergé en France.
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
China's apparel supply chain data for AI: 1,000+ suppliers, 350+ fabrics, 170+ clusters.
Connect your AI to your Well financial data - invoices, companies, contacts.
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.
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
Interact with your Google Bigtable resources using natural language commands.
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.
