Supabase MCP, Postgres MCP and other database MCP servers let an AI agent query, inspect and change your data in Supabase, Postgres, MySQL and other SQL databases. Every server here is security-graded before you connect it to production.
Of the 137 Supabase MCP, Postgres MCP & DB MCP Servers here, the best one to start with is vanna (rated SAFE by our security scan, ★ 23.8k). 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Supabase MCP, Postgres MCP & DB MCP Servers are AI-powered software designed to help developers and teams tackle mcp database-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 137 quality-scored Supabase MCP, Postgres MCP & DB MCP Servers across languages including Python, Go, TypeScript.
In 2026, the AI agent ecosystem is maturing rapidly. Supabase MCP, Postgres MCP & DB MCP Servers can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — vanna, WrenAI, mcp-toolbox — have earned an average of 765 GitHub stars, reflecting strong community validation. 126 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing among Supabase MCP, Postgres MCP & DB MCP Servers, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is Python; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with vanna — it ranks highest in both star count and quality score.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
Token conscious database MCP server for Postgres, MySQL, SQL Server, Oracle, MariaDB, SQLite.
A Model Context Protocol server that provides read-only access to MySQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.
通用数据库 MCP 连接器:支持 MySQL、PostgreSQL、Oracle、MongoDB 等 17 种数据库,支持 Claude Desktop、Cursor、Windsurf、VS Code、ChatGPT 等 50+ 平台,用自然语言查询和分析数据
Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.
Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI-powered.
```bash
npm install -g altimate-code
```
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
A Claude/Codex skill for geospatial data
```bash
pip install geosql && geosql
```
MCP server for interacting with Neon Management API and databases
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma
Local-first Apple Health MCP server. Lets AI assistants answer questions about your sleep, workouts, activity and heart data from a local export.
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.
A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.
```bash
# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh
```
Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.
A Model Context Protocol (MCP) server for Microsoft SQL Server that enables secure database interactions through a controlled interface. Allows AI assistants to safely list tables, read data, and execute SQL queries while maintaining security and structure.
```json
{
"mcpServers": {
"mssql": {
"command": "uvx",
"args": ["microsoft_sql_server_mcp"],
"env": {
"MSSQL_SERVER": "localhost",
"MSSQL_DATABASE": "your_database",
"MSSQL_USER": "your_username",
"MSSQL_PASSWORD": "your_password"
}
}
Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.
An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
An MCP server that turns filings and prices into valuation indicators, and tests each one inside its own industry. Connect it to your agent and ask.
Turn your Claude Code session history into a searchable local knowledge base — 13 MCP tools, pure stdlib, nothing leaves your machine
Long-term memory for Hermes and Codex, with local storage, source-backed recall, and tools to inspect, correct, or delete remembered information.
A Model Context Protocol Server for MongoDB
```bash
npx -y mcp-mongo-server mongodb://localhost:27017/database
```
Pasal.id - The first open, AI-native Indonesian legal platform. MCP server + web app giving Claude grounded access Indonesian laws.
MCP server for querying Apple Health data with natural language using DuckDB under the hood.
Model Context Protocol (MCP) server that supports secure interaction with MySQL databases and has anomaly analysis capabilities.更加牛逼!更加好用!不仅止于mysql的增删改查功能; 还包含了数据库异常分析能力;且便于开发者们进行个性化的工具扩展
Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database
Let LLMs interface with your tasks and projects through the Model Context Protocol. Add, organize, and query your OmniFocus database with natural language commands.
A Model Context Protocol (MCP) server that enables natural language queries to databases
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
Free, open-source memory for Claude Code. Your own database, no cloud, no subscription.
A Claude Code / Codex skill to export and decrypt WeChat (macOS) chat history into plaintext SQLite databases
🍃🔎 MongoDB Lens: Full Featured MCP Server for MongoDB Databases
An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.
Local-first MCP tools and dashboard for investigating Codex token usage, credits, costs, caching, and thread patterns.
Use the official MongoDB Skills with your favorite coding agent to build faster.
Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.
```bash
npm install -g @context-sync/server
```
Make every AI agent you use smarter. Persistent memory with SQLite FTS5, MCP server, Obsidian sync, and self-learning intelligence pipeline.
A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities
Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster.
Persistent cross-session memory for Claude & AI agents. Self-host on Redis/Valkey, or use the managed SaaS at recallmcp.com.
Notion MCP server for Claude, Cursor, ChatGPT & Claude Desktop. Connect AI agents to Notion via Model Context Protocol — pages, databases, blocks, comments, files.
AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.
🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, lock/deadlock monitoring, autovacuum & schema inspection. No extensions required. PG 12-18.
Agentic text-to-SQL SDK: hand the LLM one execute_sql tool and let it explore the schema, test queries, and self-correct — no RAG, no semantic layer. 20/20 on an 80-table Spider run. Built-in tracing and scenario support.
A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.
Redis' official collection of agent skills
```bash
npx skills add redis/agent-skills
```
Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.
MCP server for persistent context management in AI coding assistants
A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.
🐇 Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities
An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.
Publisher is the open-source analytics engine for Malloy. It lets you define data models once — and use them everywhere.
Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode
MCP server for 200M+ patents, scientific literature, chemistry and pharma records. Search prior art and R&D intelligence powered by PatSnap's proprietary databases via Claude, Cursor and MCP-compatible clients.
An "LLM wiki" upgraded to a real database — typed entities, graph relations, HTTP API, and a built-in natural-language agent.
Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.
AI prompt database and builder skill for Claude Code. 2,500+ curated prompts across 19 categories and 17 AI models.
An MCP server and Next.js web app for querying S&P 500 company data from Supabase, with tools for company info, news, officers, and SEC filings, plus embedded MCP App UI resources, Elicitation, and Sampling support.
✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.
Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.
MCP server with persistent memory + FTS5 search for Claude Code conversation history. Index your ~/.claude/projects/, expose 10 MCP tools, browse via web UI. MIT-licensed.
Persistent memory for Claude Code, Cursor and Codex. Facts are typed, sourced, and retired when they change. Local SQLite, no API keys.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP)
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
A Data analysis agent powered by llm for querying database and visualizing results
The recorder for your AI conversations — local-first MCP memory that keeps byte-exact copies of your Claude Code, Codex and Pi sessions (Claude Code deletes its own after 30 days) and answers with a citation or abstains. DuckDB.
🏥🤖 Query MIMIC-IV medical data using natural language through Model Context Protocol (MCP). Transform healthcare research with AI-powered database interactions - supports both local MIMIC-IV SQLite demo dataset and full BigQuery datasets.
A remote MCP server for personal nutrition tracking — log meals, track macros, and review nutrition history through conversation.
```
https://nutrition-mcp.com/mcp
```
Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.
Cross-platform persistent memory MCP for Codex, Gemini CLI, Claude Code, and other local MCP hosts. 36 cited neuroscience mechanisms, local-first SQLite/PostgreSQL, hybrid retrieval, decay-based consolidation, and reproducible benchmarks. Claude adds optional automatic lifecycle hooks.
Stateless MCP service for AI to operate databases: MySQL, PostgreSQL, SQLite, SQL Server, Oracle, and H2. Pass connection parameters; no persistence, no config.
Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.
The official Pinecone marketplace for Claude Code Plugins
Plugin interface for remote communications with Binary Ninja database and MCP server for interfacing with LLMs.
```powershell
.\scripts\install_windows.ps1
```
Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and search via MCP server. Zero cloud, zero cost.
Shared, persistent memory for AI agents. Self-hosted MCP server with semantic search, vector RAG, and live updates. Works with Claude, Cursor, Codex, and any MCP client.
MCP client for AutoMem — give Claude, Cursor, Codex, and other MCP tools durable graph+vector memory across conversations.
🚀 SuperMCP - Create multiple isolated MCP servers using a single connector. Build powerful Model Context Protocol integrations for databases (PostgreSQL, MSSQL) with FastAPI backend, React dashboard, and token-based auth. Perfect for multi-tenant apps and AI assistants.
MCP server for querying CKAN open data portals (package search, DataStore SQL, organizations, groups, tags)
Synapse is a local-first personal memory operating system designed for AI agents. It provides durable, typed, and highly reliable long-term memory using only local SQLite — giving agents the ability to remember, update, and reason over facts across sessions with full user control.
Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.
A dual-path memory system for proactive agents. Facts and procedures in a local knowledge graph, exposed as a CLI, MCP tools and skills. No API key.
The community development of a MCP server for a Teradata database
A Model Context Protocol (MCP) server that enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
A Model Context Protocol (MCP) server facilitating secure interactions with MSSQL databases.
```bash
pip install mssql-mcp-server
```
MCP Server for editing VBA code and controls on an MS Access .ACCDB database via LLM (tested just with Claude Code)
💎 LaPis — Local AI memory for coding agents. Persistent SQLite memory for Pi, Claude Code, Hermes & MCP.
🌐 Persistent 3D/2D spatial world model MCP server for AI agents. Entity tracking, object permanence, AABB collision simulation & view frustum projection via local SQLite.
Persistent memory for any AI — MCP server, HTTP API, CLI. Works with Claude, ChatGPT, Grok, Gemini, Codex, Cursor, OpenClaw, and any MCP client. One Rust binary; SQLite or PostgreSQL + Apache AGE + pgvector; rust-a2a wake plane. Apache-2.0.
A universal multi-cloud data MCP Server supporting over 40 types of data source connections, providing secure, unified data access in a single platform. Supports full range of Alibaba Cloud services and Mainstream databases/data warehouses.
Long-term memory for LLMs. MCP server backed by hybrid search in a single SQLite file.
```bash
pip install rekal
```
ApocData · AI-native financial database for China A-share market. Drop-in Skill / MCP for Claude,ChatGPT, Qwen, Kimi, DeepSeek agents.
Archived. Earlier Bonnard product. Current: bonnard.dev / @bonnard/mcp-charts
Your agent loses the plan between sessions, so saga-mcp gives it a SQLite-backed tracker for projects, epics, tasks, subtasks, dependencies, and notes: 41 MCP tools, an activity log, and a one-call dashboard, with no accounts and no external services.
Database MCP server for MySQL, MariaDB, PostgreSQL, and SQLite - with builtin PII redaction and write-prevention
Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Markdown). Works with Claude Code, Codex & any MCP host.
A comprehensive Model Context Protocol (MCP) server for MySQL databases with 200+ tools for advanced database management, diagnostics, performance analysis, security auditing, and AI-powered database interactions.
A Model Context Protocol (MCP) server that prevents citation hallucination by verifying academic citations against 9 authoritative databases. This server enables AI assistants to verify every citation against real publications before citing them.
dst (data serve tool) — open-source semantic layer and MCP server between the AI your team uses and your data warehouse. Governed answers with the SQL, a grade and a receipt.
Your agent can read git log. It can't read the shell commands you tried that failed. NexusMem indexes shell history with exit codes, git commits and diffs, and project docs into a local SQLite database, and serves back a token-budgeted slice on demand. No cloud, no account.
MCP server that exposes Obsidian Smart Connections vector database to Claude Code via semantic search
🧠 Persistent local memory for AI assistants across conversations. SQLite, no cloud, no config, works with any MCP client.
The trust and intelligence layer between AI agents and your database. Read-only by architecture, semantic knowledge graph + audit log, MCP-native.
Private local memory for any AI agent: Markdown database, SQLite search, MCP, zero runtime dependencies.
Read-only MCP server for FP&A & management reporting — governed metrics, financial statements and drill-down over a SQL semantic layer. Your own financials on your own warehouse, not market data. Open core of Précis. (metric engine · ClickHouse · OIDC · Docker)
A gateway between AI agents and your Postgres databases. Every statement is checked against your policy and recorded before it runs.
Open-source memory CLI for Claude Code, Codex & MCP — local-first SQLite, graph-aware recall, review gate. npm i -g waypath
An MCP server that connects to multiple databases. Supports access control and dynamic SQL query tool registration and invocation.
Local-first memory engine for coding agents (Claude Code/Cursor/Codex): SQLite+FTS5 retrieval, versioned bi-temporal memories, full-session capture, zero dependencies, MCP server
MCP Maker — MCP server generator. Connect Claude, Cursor, ChatGPT, Grok & DeepSeek to PostgreSQL, MySQL, MongoDB, Airtable, Notion + 13 data sources. Zero code.
| Tool | Stars | Score |
|---|---|---|
| vanna | ★ 23.8k | 61 |
| WrenAI | ★ 17.8k | 73 |
| mcp-toolbox | ★ 16.6k | 77 |
| engram | ★ 7.1k | 72 |
| CodeGraphContext | ★ 4.3k | 73 |
| dbhub | ★ 3.6k | 77 |
| mcp-server-mysql | ★ 2.0k | 76 |
| ktx | ★ 1.6k | 67 |
| mysql_mcp_server | ★ 1.4k | 79 |
| mongodb-mcp-server | ★ 1.1k | 74 |
| mcp-neo4j | ★ 980 | 71 |
| universal-db-mcp | ★ 936 | 54 |
| supabase-mcp-server | ★ 832 | 50 |
| altimate-code | ★ 810 | 68 |
| Wax | ★ 801 | 70 |
| memora | ★ 729 | 66 |
| mcp-server-elasticsearch | ★ 720 | 73 |
| MegaMemory | ★ 709 | 55 |
| geosql | ★ 658 | 72 |
| mcp-server-neon | ★ 648 | 71 |
supabase/mcp is Supabase's official MCP server: add it to the client's MCP configuration (its README covers sign-in), and the assistant can query tables and manage the project. alexander-zuev/supabase-mcp-server is a community alternative with read and write queries and management through chat.
Postgres: crystaldba/postgres-mcp (read/write access and performance analysis) and neondatabase/mcp-server-neon. MySQL: benborla/mcp-server-mysql. Several databases from one server: googleapis/mcp-toolbox and bytebase/dbhub. MongoDB and ClickHouse have their own: mongodb-js/mongodb-mcp-server, ClickHouse/mcp-clickhouse.
The top mcp database tools in 2026 are vanna, WrenAI, mcp-toolbox. Agent Skills Hub ranks 137 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
vanna (23.8k stars) is the most adopted choice for general mcp database tools workflows, written in Python. WrenAI (17.8k stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with vanna — it has the deepest community and the most examples online.
Avoid pre-built mcp database tools when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
MCP Database Tools focuses specifically on supabase mcp, postgres mcp and other database mcp servers let an ai agent query, inspect and change your data in supabase, postgres, mysql and other sql databases. every server here is security-graded before you connect it to production. Knowledge Base & RAG is a related but distinct category — see https://agentskillshub.top/best/knowledge-base/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose mcp database tools when your primary goal is the specific task, and knowledge base & rag when the workflow is broader.
For most teams, yes. vanna has 23.8k stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most mcp database tools listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: