SQLite MCP Server — Local Database Access for AI Agents
Install the SQLite MCP server to let Claude Code, Cursor, and Windsurf query and manage local SQLite databases. Read schemas, run SQL, analyze data, and build database-driven features — all without a server setup.
Install SQLite MCP Server
{
"mcpServers": {
"sqlite": {
"command": "uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"/path/to/your/database.db"
]
}
}
}Jina Reader — AI-Friendly Web Content Extraction
Convert any URL to clean markdown for AI consumption. Free API at r.jina.ai strips ads, navigation, and clutter. Used by AI agents for web research and RAG.
Claude Code Templates — 600+ Agents, Commands & MCPs
Ready-to-use Claude Code configurations: 600+ agents, 200+ commands, 55+ MCPs, and project templates. Install any template with one command.
Google Stitch MCP — AI Design via Model Context Protocol
Connect Claude Code, Cursor, Gemini CLI, or VS Code to Google Stitch for AI-driven UI design. Create projects, generate screens from text, edit designs, manage design systems — all via MCP.
Pal MCP Server — Multi-Model AI Gateway for Claude Code
MCP server that lets Claude Code use Gemini, OpenAI, Grok, and Ollama as a unified AI dev team. Features model routing, CLI-to-CLI bridge, and conversation continuity across 7+ providers.
Chrome MCP Background Proxy — Fix Popups, Focus Stealing & Multi-Agent Conflicts
Drop-in proxy for Chrome MCP. Solves Chrome 146+ debugging popups, focus stealing, and multi-agent conflicts with persistent CDP connection, request ID remapping, and sessionId-based event routing.
Neon — Serverless Postgres with Database Branching
Serverless PostgreSQL with instant database branching, autoscaling, and a generous free tier. Branch your database like git branches — test schema changes without touching production. 16,000+ stars.
Appwrite — Open-Source Backend for AI Apps
Complete cloud backend with auth, database, storage, functions, and messaging in one platform. Self-hostable. 55K+ GitHub stars.
Codebase Memory MCP — Code Knowledge Graph Server
High-performance MCP server that indexes codebases into persistent knowledge graphs. Supports 66 languages, sub-millisecond queries, and claims 99% fewer tokens than raw file context. 1,100+ stars.
Neon MCP — Serverless Postgres via AI Agents
MCP server for Neon serverless Postgres. Create projects, branch databases, run SQL, optimize queries via natural language. Safe migration workflow with branching. MIT, 574+ stars.
Codebase Memory MCP — Code Intelligence for AI Agents
High-performance code intelligence MCP server. Indexes repos in milliseconds via tree-sitter AST, supports 66 languages, sub-ms graph queries. MIT, 1,300+ stars.
MCPHub — Centralized MCP Server Management Hub
Manage multiple MCP servers from one dashboard. Smart routing, hot-swap config, OAuth 2.0 auth. Deploy via Docker in one command. Apache-2.0, 2,000+ stars.
LMDeploy — High-Performance LLM Deployment Toolkit
Deploy and serve LLMs with 1.8x higher throughput than vLLM. 4-bit quantization, OpenAI-compatible API. By InternLM. 7.7K+ stars.
Smithery CLI — MCP Server Registry & Installer
Search, install, and manage MCP servers from Smithery's registry of 6,000+ servers. One command to connect any MCP server to Claude, Cursor, or other AI tools. AGPL-3.0.
Wrangler MCP — Cloudflare Workers for AI Agents
MCP server for managing Cloudflare Workers, KV, R2, and D1 from AI agents. Deploy serverless functions, manage storage, and query databases through Claude Code tool calls.
Docker MCP — Container Management for AI Agents
MCP server that gives AI agents Docker container management capabilities. Build, run, stop, and inspect containers through tool calls for automated DevOps workflows.
Firecrawl MCP — Web Scraping Server for AI Agents
Official Firecrawl MCP server for AI agents to scrape, crawl, and extract structured data from any website. Supports batch scraping, search, and markdown extraction. 15,000+ stars.
MCP Inspector — Debug MCP Servers Visually
Official MCP Inspector for testing and debugging MCP servers. 9.3K+ stars. Web UI, tool/resource/prompt inspection, request testing.
Haystack MCP — Connect AI Pipelines to MCP Clients
Expose Haystack RAG pipelines as MCP servers. Let Claude Code and other AI tools query your document search, QA, and retrieval pipelines through the MCP protocol.
Browser Use — AI Agent Browser Automation
Let AI agents control web browsers with natural language. Browser Use provides vision-based element detection, multi-tab support, and works with any LLM provider.
Context7 — Live Library Docs for LLMs, 51K Stars
MCP server fetching up-to-date, version-specific library documentation into LLM context. Eliminates hallucinated APIs across 30+ AI coding tools.
Unstructured — Document ETL for LLM Pipelines
Extract clean data from PDFs, DOCX, HTML, images, and emails for RAG and LLM ingestion. 14K+ GitHub stars.
Serena — Semantic Code Agent via MCP
Serena is a coding agent MCP server with semantic code retrieval and editing. 22K+ stars. Understands classes, functions, symbols for precise context-aware edits. MIT.
Uptime Kuma — Self-Hosted Uptime Monitoring
Monitor HTTP, TCP, DNS, Docker services with notifications to 90+ channels. Beautiful dashboard. 84K+ GitHub stars.
Context7 — Up-to-Date Docs MCP for AI Editors
MCP server that provides AI code editors with up-to-date library documentation. Eliminates hallucinations from outdated training data. Supports 1000+ libraries. 51K+ stars.
Glama — MCP Server Discovery and Management
Directory and management platform for MCP servers. Discover, install, and monitor Model Context Protocol servers for Claude Code, Cline, and other AI coding tools.
DBHub — Universal Database MCP Server, Zero Dependencies
Token-efficient database MCP server supporting Postgres, MySQL, MariaDB, SQL Server, and SQLite. Just two MCP tools, zero dependencies, read-only safe.
Chrome DevTools MCP — Browser Debugging for AI Agents
Give your AI coding agent full access to Chrome DevTools for browser automation, debugging, and performance analysis. Works with Claude, Cursor, Copilot, and 15+ AI tools.
mcp-agent — Build AI Agents with MCP Patterns
mcp-agent is a Python framework for building AI agents using the Model Context Protocol. 8.2K+ GitHub stars. Implements composable workflow patterns (orchestrator, map-reduce, evaluator-optimizer, rou
PostgreSQL MCP Server — Database Queries for AI
MCP server for PostgreSQL database access. Run read-only SQL queries, inspect schemas, list tables, and analyze data directly from Claude Code or Cursor.
Claude Code MCP — Run Claude as Agent-in-Agent
MCP server that runs Claude Code CLI in one-shot mode inside other AI tools. Enables Cursor, Windsurf, and Claude Desktop to delegate complex tasks to Claude Code. 1.2K+ stars, MIT.
Zero-config database for AI agents
The SQLite MCP server is the simplest way to give your AI agent database capabilities. No connection strings, no credentials, no server process — just point it at a .db file and the agent can create tables, run queries, and analyze data instantly. This makes SQLite the default choice for AI workflows that need structured data without infrastructure overhead.
The most powerful use case is agent memory and state. AI agents that need to persist information across sessions — conversation history, analysis results, cached computations — can use SQLite as a lightweight store. The agent creates its own schema, writes data, and queries it later. Unlike file-based state, SQL gives the agent structured queries with filtering, joining, and aggregation.
For data analysis workflows, SQLite handles surprisingly large datasets. Point the MCP server at a CSV import (SQLite's .import command) and the agent can run analytical queries, build summaries, and identify patterns without loading everything into memory. For production databases, you'll want the PostgreSQL MCP server or Supabase MCP server instead. For file access alongside your database, add the Filesystem MCP server. Browse all database AI tools on TokRepo for the complete ecosystem.
SQLite is the database that just works — no config, no server, no excuses. Now your AI agent can use it too.
Preguntas frecuentes
What is the SQLite MCP server?+
The SQLite MCP server (mcp-server-sqlite) is a Python-based MCP implementation that exposes SQLite database operations as tools for AI agents. It supports listing tables, reading schemas, running SQL queries (SELECT, INSERT, UPDATE, DELETE), creating tables, and describing database structure. It's the official reference implementation for database MCP servers.
Do I need to install SQLite separately?+
No. SQLite is bundled with Python (and most operating systems). The MCP server uses Python's built-in sqlite3 module, so there's nothing extra to install. You just need Python and uv (the modern Python package runner). If you don't have uv, install it with: curl -LsSf https://astral.sh/uv/install.sh | sh
Can the AI agent create new databases from scratch?+
Yes. If the --db-path points to a file that doesn't exist, SQLite creates it automatically. The agent can then create tables, define schemas, and populate data — useful for prototyping, data analysis, and building agent memory systems. Point it at a temp directory if you want disposable databases.
How does SQLite MCP compare to PostgreSQL MCP?+
SQLite MCP is zero-config and file-based — perfect for local development, prototyping, data analysis, and agent memory. PostgreSQL MCP connects to a running database server — needed for production applications, concurrent users, and advanced features like JSONB, full-text search, and extensions. Start with SQLite for exploration, move to Postgres when you need production-grade infrastructure.
Is it safe for the AI to write to my database?+
The SQLite MCP server has full read-write access to the database file. Safety tips: (1) Keep a backup of important databases before pointing the AI at them. (2) Use a copy of production data, not the original. (3) For analysis-only workflows, make the file read-only at the OS level (chmod 444). (4) SQLite supports WAL mode for concurrent read access while the agent writes.