"Creating a Document as a Knowledge Base" matching MCP connectors:
Matching Connector Tools:
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
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.
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.
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.
VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage
Managed MCP gateway for PostgreSQL. Connect Cursor, Claude Desktop, VS Code, and Windsurf to your database with per-table permissions, encrypted credentials, and a full query audit trail. OAuth 2.0 authentication, free tier available.
Backend for vibe coders. Connect Butterbase to any MCP-compatible AI coding tool and provision a full backend automatically — database, authentication, file storage, edge functions, and real-time — from a natural language prompt. No SQL, no configuration, no backend knowledge required. Free to start at butterbase.ai.
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.
AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.
Wine cellar manager: bottles, racks, drink windows, pairings and a shared wine registry.
Query your Google Sheets as structured JSON: list sheets and tabs, read schemas, filter rows.
AI agents propose database changes as reviewable requests — no direct write access.
Public-registry routing map by entity kind. Read-only reference data, not a determination.
Knowledge graph for AI agents. Query concepts, walk edges, get advisories.