"A list or overview of multiple search engines" matching MCP connectors:
Matching Connector Tools:
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
RedM / RDR3 docs MCP server: native lookups, semantic search, VORP, RSGCore, oxmysql.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Search and retrieve job postings on Nationale Vacaturebank, the largest Dutch jobs site (read-only).
Cross-brand carbide grade equivalents from verified manufacturer charts; never invents a grade.
UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Registry of companies selling AI agents identity, phone, email, addresses, money, legal, insurance
Human Lineage MCP server — search and query the public genealogical graph of all humanity
BookBrainz MCP — open book metadata (MetaBrainz / sister of MusicBrainz)
Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.
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
Read-only MCP server for The Quiet Protocol's engines, benchmarks, proof, and business data.
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.
List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.