"database" matching MCP servers:

Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.

Query PostgreSQL and inspect schemas over MCP. Connects to local, Docker, RDS, Neon, Supabase, or a database behind an SSH bastion.

Enables AI assistants to perform read-only introspection of Symfony applications, exposing routes, controllers, services, entities, database schema, migrations, logs, and more via MCP tools.

MCP server that parses 3GPP .docx specifications into structured sections with full-text search, letting LLMs browse, search, and follow cross-references without a vector database.

Provides AI agents a secure MCP interface to a single MySQL or MariaDB database, enabling schema inspection, read-only queries, query planning, and guarded write operations with strict safety controls.

Checks whether a citation has been retracted, corrected, or flagged with an expression of concern by querying Crossref — including retractions that Crossref backfills from the Retraction Watch database, which publishers often never record in their own metadata. Lets an AI agent verify a DOI, or every DOI in a reference list, before using it in research or writing.

Hand a human a rich interactive UI by URL from any MCP client and get structured data back: forms, approvals, surveys, pickers, editable lists. Round-trip human-in-the-loop for agents.

Search 200M+ patents and scientific literature in natural language using PatSnap's global R&D intelligence database.

Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.

A drop-in Model Context Protocol (MCP) server that lets an AI agent query PostgreSQL — read-only, enforced at the database level, with real SQL validation, timeouts, cost limits, OAuth 2.1, and an audit trail.

Coordination for parallel coding agents: TTL file claims stored in the git common dir (visible across all worktrees), enforcement hooks that block colliding edits, agent presence, handoff notes, and a git-committed lessons knowledge base with BM25 search. Single static Go binary — no server, no database.

Gives an AI agent complete knowledge of a specific DevExpress XAF application: its entities, controllers, actions, business rules, Model Editor customizations, custom property editors and the version-gated data migrations that ran once on a production database. Reads the source with Roslyn without compiling it, so it works on a branch that does not build and needs no DevExpress licence.

Enables AI agents to search and retrieve academic papers, author profiles, and citation data from the Scopus database via MCP tools.

Connects AI agents to the OpenAlex scholarly database, enabling search and retrieval of works, authors, institutions, and sources via natural language.

Indexes git history, shell commands with exit codes, project docs, and opt-in assistant transcripts into a local SQLite database, then serves ranked, token-budgeted context back over MCP. Uniquely links a failed shell command to the commit that fixed it, so agents can recall what was already tried and what worked.

MCP server for The Movie Database (TMDB): search and look up movies, TV shows and people, and read IMDb/Rotten Tomatoes/Metacritic ratings (via OMDb) in the same call.

Hand a human a rich interactive UI by URL from any MCP client and get structured data back — forms, approvals, surveys, pickers, editable lists. Round-trip human-in-the-loop for agents.

Blocks unsafe PostgreSQL migrations before an AI agent writes or runs them. check_before_apply returns a pass/fail gate; reads the real Postgres parser, classifies the lock each statement takes, checks 112 safety rules. Runs offline, no database required.

Enables querying the Pour Picks bourbon & whiskey database with tools for search, bottle details, recommendations, comparisons, and trending, providing structured tasting profiles, prices, pairings, and ratings.

Local MCP server giving AI coding agents (Claude Code, Cursor, VS Code/JetBrains Copilot) a shared, persistent memory of your projects and every bug/issue faced during development. Stateless, plain-file storage (AGENTS.md + issues.jsonl) — no database.