ssd-ai
Rank #43,882smithery/ssdeanx/ssd-ai
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.)
ssd-ai is a Model Context Protocol (MCP) server published by ssdeanx. It ranks #43,882 of 115,591 servers tracked on MCP Toplist, and its repository has 3 GitHub stars. ssd-ai is listed across 3 registries — Smithery, PulseMCP and Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Nov 29, 2025.
Ranks ahead of 71,709 of 115,591 servers on MCP Toplist.
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This server doesn't publish a machine-readable install config — see the repository README for install instructions.
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Listed on 1 registry (2 delisted)
ssdeanx
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Not versioned
This server is published through registries that do not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- Who maintains ssd-ai?
- ssd-ai is maintained by ssdeanx, which publishes 9 MCP servers (1 total version) tracked on MCP Toplist.
- Is ssd-ai listed on the Official MCP Registry?
- ssd-ai is not on the Official MCP Registry. It is listed on Smithery, PulseMCP and Glama.
- How many versions does ssd-ai have?
- ssd-ai ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for ssd-ai?
- The source code for ssd-ai is hosted at github.com/ssdeanx/ssd-ai.