Explore, query, and inspect SQLite databases with ease. List tables, preview results, and view detailed schema metadata to understand structure quickly. Verify connectivity and readiness with a quick health check.

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.

A flexible system for managing various types of sources (papers, books, webpages, etc.) and integrating them with knowledge graphs.

Universal SQLite DB MCP Server

A SQLite MCP server with JSONB support, database administration tools, and advanced database operations

SQLMap with Autonomous AI, phased workflows, RAG memory, and MCP Agent Tools

MCP server that connects Claude to a Microsoft SQL Server database

SQL Server monitoring and diagnostics for AI agents using Extended Events. No ODBC drivers required.

Integrates with SQL Server databases to execute queries, manage schemas, run stored procedures, and perform data operations across single-database and server-wide contexts with support for both on-premises and Azure SQL Database environments.

A comprehensive Model Context Protocol (MCP) server for interacting with SQL Server databases

SQL Server MCP with RAG capabilities for Windows (native ODBC support)

AI development assistant that implements the **Model Context Protocol (MCP)** standard. It provides 36 specialized tools through natural language keyword recognition, helping developers perform complex tasks intuitively. ### Core Values - **Natural Language**: Execute tools automatically through Korean/English keywords - **Intelligent Memory**: Context management and compression using SQLite - **Multi-Language Support**: TypeScript, JavaScript, Python code analysis - **Performance Optimization**: Project caching system - **Enterprise Quality**: 100% test coverage and strict type system - **Long-Running Support**: Task management for asynchronous operations - **Large-Scale Data**: Cursor-based pagination --- ## Key Features ### 1. Memory Management System 10 tools for maintaining context across sessions: - **Intelligent Storage**: Information classification and priority management by category - **Context Compression**: Priority-based context compression system - **Session Restoration**: Perfect recreation of previous work states - **SQLite-Based**: Concurrent control, indexing, transaction support **Key Tools**: - `save_memory` - Store information in long-term memory - `recall_memory` - Search stored information - `auto_save_context` - Automatic context saving - `restore_session_context` - Session restoration - `prioritize_memory` - Memory priority management ### 2. Semantic Code Analysis AST-based code analysis and navigation tools: - **Symbol Search**: Locate function, class, variable positions across projects - **Reference Tracking**: Track all usages of specific symbols - **Multi-Language**: TypeScript, JavaScript, Python support - **Project Caching**: Performance optimization through LRU cache **Key Tools**: - `find_symbol` - Search for symbol definitions - `find_references` - Find symbol references ### 3. Code Quality Analysis Comprehensive code metrics and quality evaluation: - **Complexity Analysis**: Cyclomatic, Cognitive, Halstead metrics - **Coupling/Cohesion**: Structural soundness evaluation - **Quality Scores**: A-F grade system - **Improvement Suggestions**: Actionable refactoring recommendations **Key Tools**: - `analyze_complexity` - Complexity metric analysis - `validate_code_quality` - Code quality evaluation - `check_coupling_cohesion` - Coupling/cohesion analysis - `suggest_improvements` - Improvement suggestions - `apply_quality_rules` - Quality rule application - `get_coding_guide` - Coding guide lookup ### 4. Project Planning Tools Systematic requirements analysis and roadmap generation: - **PRD Generation**: Automatic product requirements document creation - **User Stories**: Story writing including acceptance criteria - **MoSCoW Analysis**: Requirements prioritization - **Roadmap Creation**: Step-by-step development schedule planning **Key Tools**: - `generate_prd` - Product requirements document generation - `create_user_stories` - User story creation - `analyze_requirements` - Requirements analysis - `feature_roadmap` - Feature roadmap creation ### 5. Sequential Thinking Tools Structured problem solving and decision making support: - **Problem Decomposition**: Break down complex problems step by step - **Thinking Chains**: Sequential reasoning process generation - **Multiple Perspectives**: Analytical/Creative/Systematic/Critical thinking - **Execution Plans**: Convert tasks into executable plans **Key Tools**: - `create_thinking_chain` - Thinking chain creation - `analyze_problem` - Problem analysis - `step_by_step_analysis` - Step-by-step analysis - `break_down_problem` - Problem decomposition - `think_aloud_process` - Thinking process expression - `format_as_plan` - Plan formatting ### 6. Prompt Engineering Prompt quality improvement and optimization: - **Automatic Enhancement**: Convert vague requests to specific ones - **Quality Evaluation**: Score clarity, specificity, contextuality - **Structuring**: Goal, background, requirements, quality criteria **Key Tools**: - `enhance_prompt` - Prompt enhancement - `analyze_prompt` - Prompt quality analysis ### 7. Browser Automation Web-based debugging and testing: - **Console Monitoring**: Browser console log capture - **Network Analysis**: HTTP request/response tracking - **Cross-Platform**: Chrome, Edge, Brave support **Key Tools**: - `monitor_console_logs` - Console log monitoring - `inspect_network_requests` - Network request analysis ### 8. UI Preview Pre-coding UI layout visualization: - **ASCII Art**: Support for 6 layout types - **Responsive Preview**: Desktop/mobile views - **Pre-Approval**: Confirm structure before coding **Key Tools**: - `preview_ui_ascii` - ASCII UI preview ### 9. Time Utilities Various format time queries: **Key Tools**: - `get_current_time` - Current time query (ISO, UTC, timezones, etc.)

Persistent agent memory with 8-stage knowledge consolidation using PostgreSQL and pgvector.

A Python MCP server interacting with PostgreSQL, intended for use with Steampipe.

Integrates with STRING protein interaction database to enable protein network analysis, functional enrichment, GO/KEGG pathway analysis, cross-species homolog identification, and detailed annotation retrieval across over 5000 organisms for systems biology research.

ATTENTION: This repository is a clone of https://gitlab.structr.com/structr/structr. All development/issue tracking has moved there. | Structr is an integrated open-source low-code development and runtime environment that uses a graph database (Neo4j).

An AI powered platform for empowering teachers in a multigrade classrooms

Persistent memory for AI coding agents. Cross-session context, global knowledge, and autonomous task execution.