Database MCP servers for Postgres, MySQL, SQLite, MongoDB and more: let an AI assistant inspect schemas and run queries with the access you allow. 1,096 servers in this category.
Provides a provably read-only SQL validation layer for AI agents to prevent unauthorized file access, socket connections, or transaction escapes.
Provides Claude Code with local GraphRAG memory for documents and codebases using LightRAG and Ollama without cloud dependencies.
Allows an AI agent to run secure SQL queries over local CSV, Parquet, and JSON files using a sandboxed DuckDB environment.
Enables an AI agent to explore SQLite databases through a strictly read-only connection with introspection, query plan analysis, and data quality sampling.
Enables AI clients to query multiple MySQL and PostgreSQL databases using project and environment-based routing with read-only protection.
Enables AI agents to query SQL databases using a semantic layer to understand table meanings, metrics, and relationships.
Provides a local-first document knowledge base with hybrid search, LaTeX-ready PDF ingestion, and image retrieval using LanceDB.
Provides a queryable model of a codebase using SQL to answer structural questions about definitions, callers, and imports.
A local data workbench that lets an AI client ingest, clean, profile, chart, and model datasets using reversible steps and natural language queries.
Provides secure, read-only SQLite access and restricted filesystem tools for MCP clients via stdio.
Generates schema-driven, type-safe PostgreSQL DML tools for AI agents to perform scoped insert, select, update, and delete operations.
Lets an AI client collect, query, and replay crypto and US equity market data from a local Parquet lake using DuckDB and specialized connectors.
Defines a specification for semantic pods that host structured linked data with controlled access via contexts, grants, and SPARQL.
Enables AI agents to perform read-only queries, cross-table reconciliation, and workflow monitoring on legacy Oracle databases without code changes.
Provides a lightweight SQLite-based vector database and hybrid RAG engine for AI agents to store and retrieve persistent memories.
Provides syntax-aware code RAG, AST analysis, and hybrid retrieval for multi-repository indexing and deep codebase intelligence.
Allows an AI client to query data sources, manage dashboards, and interact with saved queries and alerts through eighteen specialized tools.
Enables AI clients to discover SQL and SAS lineage, visualize data dependencies, and perform column usage analysis.
Lets Claude safely query PostgreSQL databases using scoped bearer tokens, read-only transactions, and audit logging.
Provides a crash-safe, versioned, and searchable memory store for AI clients using Python's standard library.
