"The concept of thinking or introspection" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
The agent-native cloud: database, functions, AI, storage, computers. 50 tools, one API key.
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
Every figure re-checked against SQL-computed facts; unsupported questions refused with the reason.
Resolve part problems, check compatibility and identify only the information still missing.
PeeringDB MCP — the peering ecosystem database.
BookBrainz MCP — open book metadata (MetaBrainz / sister of MusicBrainz)
Search the Perfume Picks fragrance database: 13,000+ scents with notes, dupes, and wear data.
Airtable MCP Pack — wraps the Airtable REST API v0
Search the Pour Picks bourbon & whiskey database: 4,700+ bottles with tasting profiles and prices.
NameResolver: The ViewCaller API empowers developers with powerful phone number intelligence and.
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
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.
MCP server for the HubSpot Integrations Center HubDB: search and retrieve integration data.
Read-only MCP server for The Quiet Protocol's engines, benchmarks, proof, and business data.
Search and retrieve job postings on Nationale Vacaturebank, the largest Dutch jobs site (read-only).
- SupabaseOAuthcom.supabase
MCP server for interacting with the Supabase platform
Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.
Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.
