Cntx UI

Semantic code analysis and context management for AI agents. Turns a codebase into searchable, structured context that agents can navigate efficiently.

- Semantic analysis— parses your code at the function level using tree-sitter, extracts purpose, complexity, and relationships
- Local vector search— embeds code chunks locally (all-MiniLM-L6-v2 via Transformers.js) for semantic similarity search with no external API calls
- Bundle system— group files into logical bundles (by feature, layer, or pattern) for structured context delivery
- MCP server— exposes 28+ tools to Claude Code, Claude Desktop, or any MCP-compatible client
- Web dashboard— visual interface at localhost:3333 for managing bundles, browsing semantic analysis, and editing agent rules
- Real-time sync— watches for file changes and keeps analysis, bundles, and embeddings current

cntx-ui init # scaffold .cntx directory, generate .mcp.json cntx-ui watch # start web server on port 3333 cntx-ui mcp # start MCP server on stdio cntx-ui bundle <name> # regenerate a specific bundle cntx-ui status # show project health and bundle state cntx-ui setup-mcp # configure Claude Desktop integration

Aftercntx-ui init, agents discover tools automatically via.mcp.json. The.cntx/AGENT.mdfile provides an onboarding handshake with tool reference and project overview.

Agents interact through MCP tools or the HTTP API:

Full tool reference with parameters is generated in.cntx/AGENT.mdand.cntx/TOOLS.md.

- GET /api/artifacts
- GET /api/artifacts/openapi
- GET /api/artifacts/navigation
- tree-sitterparses source files into AST, extracts functions/types/interfaces
- Heuristics engineclassifies each chunk by purpose, business domain, and technical patterns based on file paths, imports, and naming conventions
- Embeddingsare generated locally and stored in SQLite for persistent vector search
- Bundlesgroup files by glob patterns — auto-suggested on init based on project structure
- MCP serverandHTTP APIexpose everything to agents with consistent response shapes

- Node.js, better-sqlite3, ws (WebSocket)
- tree-sitter (AST parsing), Transformers.js (local embeddings)
- React 19, TypeScript, Vite, Tailwind CSS (web dashboard)
- Model Context Protocol (MCP) via JSON-RPC 2.0

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