Refresh codebase context by analyzing React/TypeScript/Node.js projects and generating structured bundles with component summaries, dependency information, and a snapshot ID for AI-assisted analysis.
MIT
650,596 tools. Updated 2026-10-14 14:58
"Using a TypeScript codebase as context for a tool or service" matching MCP tools:
- Returns a TypeScript snippet to mark a transaction as delivered (IN_PROGRESS → DELIVERED) after specifying the deliverable. Running the code triggers the requester dispute window.Apache 2.0
- Retrieve TypeScript-like declarations for API request and response schemas from OpenAPI contracts by name, tool, or operationId to see field types, enums, and required status.MIT
- Group codebase symbols by architectural layer, module, file, or language with counts. Use it to orient yourself in an unfamiliar codebase before diving into specifics.MIT
- Request a service from an AGIRAILS agent by generating a TypeScript snippet that initiates an ACTP transaction. Funds are not locked until you accept the quote.Apache 2.0
- Generates suggestions for improving your app (UX, performance, retention) and your idea (positioning, monetization) by analyzing project context or codebase.MIT
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Matching MCP Connectors
AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.
- CodebaseOAuth
Build websites and apps with your AI agent. Get a live preview, ask for changes, keep the code. Builds use your account's credits. Publishing needs an API key with the appropriate permission and never happens automatically. https://codebase.design/agents
- Build a structural knowledge graph of a codebase, extracting files, functions, classes, and their relationships to enable semantic code search and analysis.MIT
- Search a codebase by meaning using natural language queries. Returns matching code chunks with file paths and snippets, refreshing the index automatically for current results.MIT
- Submit a structural code map of your codebase to VibeMap. Define nodes for pages, APIs, models, and edges for imports, routes, reads, writes.MIT
- Save context information to cache for later recall without recomputing. Store codebase overviews, file summaries, or analysis results to avoid re-reading.Apache 2.0
- Scan and analyze a codebase with tree-sitter, producing a structured context payload.MIT
- Analyze error logs and stack traces to extract relevant code context from your project, using semantic embeddings and symbol matching to provide structured debugging insights.MIT
- Verify TypeScript code correctness by running type-checking on a specified service path, receiving structured error details for pre-commit validation.MIT
- Get answers to questions about any codebase using AI with full repository context. Combines static analysis and key file contents for evidence-based responses.MIT
- Search across the codebase to locate all usages of a component, hook, or service, including imports and JSX/template references, for impact analysis.MIT
- Generate TypeScript interfaces automatically from any REST API response. Submit an HTTP request and receive ready-to-use type definitions for feature porting and migration workflows.MIT
- Ask general programming questions, get algorithm explanations, or obtain a second opinion without codebase context.MIT
- Search codebase content rapidly using ripgrep with regex patterns, file type filters, and context lines for precise code analysis.MIT
- Analyze a remote directory to identify technical environments and read dependency manifests, giving architectural context of a codebase.MIT
- Build a dependency graph of a codebase to get architectural context: file count, import edges, entry points, circular dependencies, and complex modules, without reading every file.MIT
- Scan project files to build a code graph: extracts definitions and resolves call/import relationships across Python, TypeScript, and JavaScript. Use force for a full rebuild or view indexing stats.MIT