SERVER

ssd-ai

Rank #55,048

smithery/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.)

Versions unknown
3 GitHub stars
by ssdeanx (9 servers)View repository ↗
First listed
Nov 29, 2025
Last publish date
—
PURPOSE

What you can do with ssd-ai

ssd-ai is a Model Context Protocol (MCP) server published by ssdeanx. It ranks #55,048 of 144,396 active servers on MCP Toplist, and its repository has 3 GitHub stars. ssd-ai is listed across 3 registries — Smithery, PulseMCP and Glama; no version information is available from the registries that list it or from its repository. It was first listed on Nov 29, 2025.

Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. The repository README is the authority on what it does.

CAPABILITIES AND LIMITATIONS

What ssd-ai can and cannot do

Not verifiedMCP Toplist has not catalogued this server's tools or limitations. The repository README lists them.

REQUIREMENTS

What you need before using ssd-ai

DeclaredNo credentialsNo credentials declared

The registry listing declares no required environment variables or authentication. This is declared metadata, not a verified install — the repository README is the authority.

Declared by Glama, last synced Oct 16, 2026. Not independently verified by MCP Toplist.

No runtime, credential or payment requirements are recorded for this server beyond the declaration above.

INSTALLATION AND FIRST TASK

Connect ssd-ai and confirm it works

Install configuration unavailable. No registry publishes a machine-readable install config for this server — follow the repository README.

First successful task

After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.

ALTERNATIVES

When to choose another server

Other servers by ssdeanx
View all ssdeanx servers →

No task-specific alternatives are catalogued for ssd-aiyet; the list above is its publisher's other servers.

MAINTENANCE AND EVIDENCE

What changed, and when this was checked

First listed
Nov 29, 2025
Version history
Unavailable — no registry exposes versions and no release tags were found
Requirements evidence
Declared by Glama, last synced Oct 16, 2026. Not independently verified by MCP Toplist.
Profile checked
Not yet — purpose, capabilities and requirements above come from registry data only
Ranking data as of
Oct 16, 2026
Registry sightings

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VERSIONS

Version information unavailable

The registries that list this server do not expose version metadata, and no release tags were found on the linked repository. MCP Toplist cannot say how, or whether, this server is versioned.

STANDING
#55,048of 144,396 active serversTop 50%

Ranks ahead of 89,348 of 144,396 servers on MCP Toplist.

BADGE

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MCP Toplist: Top 50% of 144,396
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FAQ

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?
Version information is unavailable for ssd-ai: no registry that lists it exposes version metadata, and no release tags were found on its repository.
Where can I find the source code for ssd-ai?
The source code for ssd-ai is hosted at github.com/ssdeanx/ssd-ai.
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