MCP-Typescribe - an MCP Server providing LLMs API information

@yWorks

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

yWorks

关于 MCP-Typescribe - an MCP Server providing LLMs API information

An MCP server implementation enabling LLMs to work with new APIs and frameworks

#api #typescript#typedoc#llm #mcp-server

MCP-Typescribe - an MCP Server providing LLMs API information 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-typescribe": {
      "command": "npx",
      "args": [
        "typedoc",
        "--json",
        "docs/api.json",
        "--entryPointStrategy",
        "expand",
        "path/to/your/typescript/files"
      ]
    }
  }
}

MCP-Typescribe - an MCP Server providing LLMs API information 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is MCP-Typescribe?

MCP-Typescribe is an open-source MCP server that provides large language models (LLMs) with real-time access to TypeScript API documentation. It loads TypeDoc-generated JSON and exposes query endpoints so AI coding assistants can search for symbols, get detailed information, and understand relationships within unfamiliar TypeScript APIs.

How to use MCP-Typescribe?

You generate TypeDoc JSON for your TypeScript API, build the project with npm run build, then run the server using npx mcp-typescribe@latest run-server <path-to-api.json>. AI agents such as Cline in VS Code connect to the server by specifying it in their MCP settings (e.g., cline_mcp_settings.json). The server exposes tools like search_symbols and get_symbol_details for agents to query.

Key features of MCP-Typescribe

Loads and indexes TypeDoc JSON documentation
Search symbols by name with optional kind filtering
Get detailed information about any symbol
List methods and properties of classes or interfaces
Find implementations of interfaces or subclasses
Show inheritance relationships between types

Use cases of MCP-Typescribe

Enable LLM-based coding assistants to use new or proprietary TypeScript SDKs
Let AI agents explore and understand unfamiliar APIs without retraining
Query internal API documentation dynamically rather than putting all docs into context
Help developers onboard faster by letting LLMs discover API symbols and usage patterns

常见问题

What does MCP-Typescribe do that alternatives do not?

It converts TypeDoc JSON into a machine-readable format served via MCP, so LLMs can query specific API details on demand instead of relying on static training data or full documentation files.

What are the runtime requirements?

Node.js and npm. The server runs locally and connects to AI agents via the Model Context Protocol.

Where does the documentation data live?

You provide a local TypeDoc-generated JSON file (e.g., `docs/api.json`). The server loads and indexes this file at startup.

What transports and authentication does it use?

The README only describes a local stdio-based MCP configuration; no network transports or authentication methods are mentioned.

Is this project still actively developed?

Public development is currently suspended because no active community formed. The team is working on a separate, follow-up project for the yFiles API.

开发工具分类下的更多 MCP 服务器

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Leadpages MCP

Leadpages

Leadpages MCP is a remote MCP server available at https://mcp.leadpages.com.

Casefile

azimov777

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

LastPing

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci

Perfex CRM

themesic

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.