MCP-Typescribe
MCP-Typescribe is an MCP server that provides real-time access to TypeScript API documentation, facilitating AI agents to explore, search, and understand APIs efficiently. It loads TypeDoc JSON files and exposes query endpoints for symbol search, details retrieval, and relationship mapping, enabling faster API onboarding and autonomous AI behavior in API understanding.
Added on:
Created by:
Apr 24 2025
MCP-Typescribe is an MCP server that provides real-time access to TypeScript API documentation, facilitating AI agents to explore, search, and understand APIs efficiently. It loads TypeDoc JSON files and exposes query endpoints for symbol search, details retrieval, and relationship mapping, enabling faster API onboarding and autonomous AI behavior in API understanding.
Added on:
Created by:
Apr 24 2025
yWorks GmbH
Featured
What is MCP-Typescribe?
MCP-Typescribe implements the Model Context Protocol to allow Large Language Models (LLMs) to utilize API documentation dynamically. By parsing TypeScript TypeDoc JSON files, it indexes symbols, methods, and properties, and exposes a set of query tools such as search_symbols, get_symbol_details, list_members, and more. This setup enables LLMs to query APIs in real-time, understand API structures, and adapt to new or proprietary SDKs without retraining. It enhances developer productivity by providing instant API context to AI assistants, streamlines onboarding to new APIs, and promotes autonomous, context-aware coding behavior.
Who will use MCP-Typescribe?
- AI developers
- Software developers
- API integrators
- AI assistants
- Tool developers
How to use the MCP-Typescribe?
- Step 1: Clone the MCP-Typescribe repository
- Step 2: Generate TypeDoc JSON documentation for your API using typedoc
- Step 3: Build the project with npm run build
- Step 4: Run the MCP server with the generated JSON file
- Step 5: Connect and configure your AI agent to query the MCP server using the provided endpoints
MCP-Typescribe's Core Features & Benefits
The Core Features
- search_symbols
- get_symbol_details
- list_members
- get_parameter_info
- find_implementations
- search_by_return_type
- search_by_description
- get_type_hierarchy
- find_usages
The Benefits
- Enables real-time API exploration for LLMs
- Supports dynamic onboarding of new APIs
- Reduces manual API documentation parsing
- Promotes autonomous AI API understanding
- Improves developer productivity with AI assistants
MCP-Typescribe's Main Use Cases & Applications
- Integrating AI coding assistants with TypeScript APIs
- Automated API documentation exploration
- Faster onboarding of SDKs and internal APIs
- Autonomous API behavior in AI agents
- Enhancing developer productivity with real-time API insights
FAQs of MCP-Typescribe
Developer
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