Akira (明) - MCP server for intelligent document organization. Brings clarity to documentation chaos using Semantic Documentation Architecture (SDA)
Akira (明) - Bringing clarity to documentation chaos through intelligent organization and semantic analysis.
Akira is a powerful Model Context Protocol (MCP) server that transforms unorganized project documentation into well-structured, semantically-aware knowledge bases. Using advanced Semantic Documentation Architecture (SDA), Akira automatically analyzes, classifies, and reorganizes your documentation to improve discoverability and maintain long-term project memory.
Akira (明): Model Context Protocol server for intelligent document organization. Brings clarity to documentation chaos using Semantic Documentation Architecture.
明 (Akira) means "bright" or "clear" in Japanese - representing our mission to illuminate and clarify project documentation for enhanced AI agent understanding and long-term project knowledge retention.
In vibe coding environments, AI agents face a critical limitation: short-term memory loss. Without persistent documentation and semantic understanding, agents struggle with:
Akira solves this by creating a persistent, semantically-organized documentation layer that serves as long-term memory for AI agents, enabling continuous project understanding and consistent decision-making across extended development cycles.
Akira employs a 5-Phase Semantic Documentation Architecture (SDA) with Real-Time Intelligence:
# Install globally via npm
npm install -g akira-mcp
# Or install from source
git clone https://github.com/your-org/akira-mcp.git
cd akira-mcp
npm install
npm run build
npm link
Add to your claude_desktop_config.json:
{
"mcpServers": {
"akira": {
"command": "node",
"args": ["/path/to/akira-mcp/dist/index.js"],
"env": {
"NODE_ENV": "production",
"AKIRA_LOG_LEVEL": "info",
"AKIRA_MAX_FILES": "1000",
"AKIRA_ANALYSIS_CACHE_SIZE": "50"
}
}
}
}
# Test installation
akira --version
# Quick help and available options
akira --help
# Run diagnostics
akira doctor
# Analyze a project
akira analyze ./my-project
# Quick semantic search (most common usage)
akira --ask-akira "how to implement authentication"
# Analyze project documentation
akira analyze /path/to/project
# Search semantic knowledge base (NEW!)
akira search "authentication implementation"
# Quick semantic search with --ask-akira flag (NEW!)
akira --ask-akira "error handling patterns"
akira --ask-akira "user authentication" --strategy semantic
akira --ask-akira "API documentation" --max-results 20
# Advanced search with options
akira search "API documentation" --strategy semantic --max-results 20 --context
akira search "login flow" --format json --scope code --min-relevance 0.5
# Organize with custom configuration
akira organize --config ./akira.config.json
# Interactive setup
akira init
# Generate project overview
akira overview --output markdown
Once configured in Claude Desktop, use the --akira flag:
claude --akira analyze my project documentation
claude --akira search "authentication patterns"
Available MCP tools:
analyze_documentation - Comprehensive project analysis with semantic classificationclassify_documents - Real-time semantic document classificationorganize_documents - Restructure documentation with relationship mappinggenerate_overview - Create project summaries with agent contextfind_gaps - Identify missing documentation using semantic analysisrelationship_map - Visualize document connections and dependenciesquery_knowledge_base - Search semantic knowledge base for project insightssemantic_search - NEW: Natural language search across analyzed documentsmonitor_file_changes - Real-time file system change trackingoptimize_tokens - Compress and optimize response data for AI agentsAkira's Semantic Search enables natural language querying of your project's knowledge base. After analyzing your project documentation, you can search using intuitive queries to find relevant information quickly.
Akira uses intelligent strategy selection based on your query:
The --ask-akira flag provides a convenient shortcut for semantic search without needing the explicit search command:
# Direct semantic search - most convenient way
akira --ask-akira "how to implement authentication"
# With options for refined searches
akira --ask-akira "API documentation" --strategy hybrid --max-results 15
akira --ask-akira "validation logic" --scope code --min-relevance 0.7
akira --ask-akira "user guides" --format json --no-color
# Equivalent to full search command
akira search "authentication" ≡ akira --ask-akira "authentication"
# Basic searches
akira search "user authentication"
# Quick semantic search with --ask-akira flag
akira --ask-akira "error handling patterns"
akira --ask-akira "authentication implementation"
# Specific strategies
akira search "how to implement OAuth" --strategy hybrid
akira search "similar security patterns" --strategy semantic
akira search "LoginController class definition" --strategy text
# Advanced options
akira search "API documentation" \
--strategy semantic \
--max-results 20 \
--min-relevance 0.7 \
--context \
--format json
# Scope filtering
akira search "validation logic" --scope code
akira search "user guides" --scope docs
akira search "TODO comments" --scope comments
Results include:
Example output:
🔍 Semantic Search Results for: "authentication implementation"
📊 Found 3 relevant documents (executed in 42ms using hybrid search)
🎯 Most Relevant:
[1] AuthenticationService.md (95% relevance)
📁 /docs/api/authentication.md:42
💡 "Implementation details for OAuth2 authentication flow..."
🔗 Related: LoginController.ts, SecurityConfig.md
[2] User Authentication Guide (87% relevance)
📁 /docs/user-guides/auth.md:15
💡 "Step-by-step guide for implementing user authentication..."
🔗 Related: JWT handling, Session management
💡 Suggestions: Try "OAuth2 flow", "login security", "user sessions"
Smart pattern recognition:
"how to..." → Hybrid search (combines approaches)"similar to...", "patterns like..." → Semantic search"ClassName definition" → Text search"authentication" → Auto-selected optimal strategyCreate akira.config.json in your project root:
{
"analysis": {
"includeDirs": ["docs", "src", "README*"],
"excludePatterns": ["node_modules", ".git", "dist"],
"maxFileSize": "1MB",
"supportedFormats": [".md", ".txt", ".rst", ".html", ".js", ".ts"]
},
"organization": {
"outputDir": "docs-organized",
"createIndex": true,
"generateTOC": true,
"preserveOriginals": true
},
"ai": {
"classificationThreshold": 0.7,
"relationshipThreshold": 0.6,
"maxSimilarDocuments": 10,
"enableASTAnalysis": true,
"agentPriorityScoring": true
},
"fileWatcher": {
"enabled": true,
"watchPatterns": ["**/*.md", "**/*.ts", "**/*.js"],
"excludePatterns": ["node_modules/**", ".git/**", "dist/**"],
"debounceMs": 100,
"batchSize": 50,
"maxMemoryMB": 200
},
"performance": {
"tokenOptimization": true,
"streamingThreshold": 10000,
"cacheEnabled": true,
"maxConcurrentOperations": 10,
"prometheusMetrics": true
},
"database": {
"type": "sqlite",
"path": "./akira-knowledge.db",
"enableWAL": true,
"cacheSize": 50
},
"search": {
"defaultStrategy": "auto",
"maxResults": 10,
"minRelevance": 0.3,
"includeContext": true,
"cacheResults": true,
"suggestionCount": 3
}
}
Project Files → Discovery → Real-Time Monitoring → AST Analysis → Semantic Classification
↑ ↓ ↓ ↓
├─ File Changes ←── FileSystemWatcher TokenOptimization AgentPriority
↑ ↓ ↓ ↓
└── Feedback Loop ←── Organization ←── KnowledgeBase ←── Relationships
↓
Enhanced Documentation + AI Context
git clone https://github.com/your-org/akira-mcp.git
cd akira-mcp
npm install
npm run dev # Development mode with auto-reload
npm run build # Production build
npm run test # Run test suite
npm run test:watch # Watch mode testing
npm run test:coverage # Coverage report
npm run lint # Code linting
npm run typecheck # Type checking
Akira follows Test-Driven Development (TDD):
git checkout -b feature/amazing-feature)npm test)npm run precommit)git commit -m 'Add amazing feature')git push origin feature/amazing-feature)Q: Analysis fails with "Permission denied" errors A: Ensure Akira has read access to target directories. Check file permissions and ownership.
Q: Classification accuracy seems low
A: Adjust classificationThreshold in configuration. Lower values increase sensitivity but may reduce precision.
Q: MCP server not connecting A: Verify Node.js path in Claude Desktop configuration. Ensure all dependencies are installed.
Q: Performance issues with large projects
A: Use excludePatterns to skip irrelevant directories. Increase AKIRA_ANALYSIS_CACHE_SIZE and enable tokenOptimization. Monitor performance with Prometheus metrics.
Q: File system watcher consuming too much memory
A: Reduce maxMemoryMB in fileWatcher configuration. Increase debounceMs to batch more changes together.
Q: Database errors or corruption A: Enable WAL mode in SQLite configuration. Use built-in backup/restore functionality. Check disk space and permissions.
Q: Token optimization not working effectively
A: Verify streamingThreshold setting. Ensure caching is enabled. Monitor token reduction metrics via performance endpoint.
Q: Semantic search returns no results or irrelevant results
A: Ensure project has been analyzed first with akira analyze. Lower minRelevance threshold in search config. Try different search strategies (text, semantic, hybrid). Check that entities exist in knowledge base with akira search --debug.
# Enable verbose logging
AKIRA_LOG_LEVEL=debug akira analyze ./project
# Generate detailed diagnostics
akira doctor --verbose
MIT © Claude Code
Bringing clarity (明) to documentation chaos, one project at a time.
Built with ❤️ for the vibe coding community
FAQs
Akira (明) - MCP server for intelligent document organization. Brings clarity to documentation chaos using Semantic Documentation Architecture (SDA)
The npm package akira-mcp receives a total of 0 weekly downloads. As such, akira-mcp popularity was classified as not popular.
We found that akira-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Multiple high-impact npm maintainers confirm they have been targeted in the same social engineering campaign that compromised Axios.
Security News
Axios compromise traced to social engineering, showing how attacks on maintainers can bypass controls and expose the broader software supply chain.
Security News
Node.js has paused its bug bounty program after funding ended, removing payouts for vulnerability reports but keeping its security process unchanged.