2,205 published MCP servers in this category · page 1 of 37 · all categories
Database MCP integrations provide documented access to schemas, queries or administrative operations. This category includes connectors for different database engines; each server has its own authentication and query surface.
Confirm the engine, database and allowed schemas. Start with a schema lookup and a small read whose expected result you already know. Check query limits, timeouts and transaction behavior rather than assume every connector uses the same defaults.
Retain the query, selected database, date range and relevant filters with an answer. When records change over time, include the observation time. If a workflow writes data, inspect the documented write operation and recovery method separately from the read-only analysis path.
Compare vendor-maintained integrations, inspect hosted servers or return to all MCP categories.
Inspect PostgreSQL schemas and run read-only queries with the archived MCP reference server. Review its maintenance status before choosing it.
Connect the Notion MCP server to search workspace content and work with pages and databases through Notion’s hosted OAuth service.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Connects Elasticsearch data to any Model Context Protocol (MCP) Client, enabling natural language interaction.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.
Official Redis server — search keys, inspect data structures and manage caches in natural language.
Spreadsheet-database hybrid meets AI — inspect schemas, query records and update bases conversationally.
Enables secure interaction with Microsoft SQL Server databases via a controlled interface for AI assistants.
Manage and interact with databases directly within VS Code, combining the power of databases with the convenience of a code editor.
Enables interaction with Elasticsearch clusters using natural language commands through a Model Context Protocol (MCP) server.
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite
Enables AI assistants to interact with Notion's API for reading, creating, and modifying content through natural language.
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
Enables Language Models to interact with Notion workspaces through standardized tools for managing pages and databases.
Provides read-only access to MySQL databases.
Enables natural language querying of PostgreSQL databases using Ollama's LLM and the Model Context Protocol.
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP).
Enables Large Language Models to interact with and query Microsoft SQL Server databases.
Queries the NIST National Vulnerability Database (NVD) via its API.
Enables LLMs to query Supabase databases and understand their structure through a Model Context Protocol.
Enables AI models to interact with PostgreSQL databases through a standardized Model Context Protocol interface.
Enables LLM agents to interact with Gel databases using EdgeQL queries for automated schema learning, query writing, validation, and execution.
Enables Cursor and Windsurf to manage Supabase databases and execute SQL queries safely.
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Provides AI assistants with a secure and structured way to explore and analyze ClickHouse databases.
Browse and interact with an entire Notion workspace as a Model Context Protocol server, eliminating the need for individual database tokens.
Enables semantic search in Qdrant vector databases using OpenAI embeddings.
Manages Django migrations in distributed environments by wrapping migration commands as Model Context Protocol (MCP) endpoints.
Provides an MCP server for interacting with MySQL databases using read-only and test-execute queries.
Enables AI assistants to interact with MySQL databases through a secure, controlled interface.
Provides a persistent memory solution using a local knowledge graph, allowing applications to remember information across interactions.
Database Explorer MCP connects assistants to PostgreSQL, MySQL or Firestore for connection setup, schema inspection, queries and exports.
Enables natural language interaction with local MySQL databases through Claude Desktop by converting natural language queries into SQL.
Enforces standardized development rules and context for Business Central projects.
Enables connection to and interaction with multiple database systems through a unified interface.
Executes SQL queries on a database via Server-Sent Events.
Enables AI models to interact with PostgreSQL databases through a standardized protocol.
Enables AI assistants to interact with and query MariaDB databases via the Model Context Protocol (MCP).
Demonstrates the implementation of Model Context Protocol (MCP) using Langchain MCP Adapters and Ollama.
Enables Claude to interact with Xano databases through the Xano Metadata API.
Provides pre-defined prompt templates for AI assistants to generate plans for TypeScript projects, API architectures, and GitHub workflows.
Analyzes BirdNET-Pi and BirdWeather detections by cross-referencing them with eBird's database using natural language queries.
Integrates MongoDB with the Model Context Protocol (MCP) to enable AI assistants to interact with databases.
Connects to MySQL Server using the Model Context Protocol (MCP).
Provides read-only access to PostgreSQL databases for Large Language Models, enabling schema inspection and query execution.
Enables interaction with PostgreSQL (and other SQL databases) using natural language queries within Claude Desktop.
Integrates Qdrant vector database with an MCP server to store and retrieve code snippets.
Exposes Supabase PostgreSQL database schemas as resources and provides data analysis tools.
Generates asynchronous text responses using a distilgpt2 model, managed through a Redis queue and accelerated with GPU support, exposing an
Integrates Xano databases with Smithery to enable Claude AI interactions with Xano data.
1AIVault is a local-first desktop app that acts as a portable memory vault for AI tools. It stores your memories, decisions, preferences, and reusable skills in a local SQLite database and exposes…
MCP server for 1C:Enterprise (1С) over OData. Ask your accounting database in natural language — debtors, sales, taxes, cash flow — from any MCP
Загружает метаданные и код конфигураций 1С в графовую базу данных Neo4j и предоставляет инструменты MCP, веб-консоль и встроенного AI агента для анализа данных конфигурации.
Exposes the canonical 7-0 knowledge surface — game modes, roster picks, and scenarios, FAQ, official links
Most database MCP servers make you run one query at a time, repeat connection details on every call, and return results double-encoded inside JSON strings. a2db fixes all of that: