Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Read official Autodesk documentation for 110+ products. No key required.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.aps.autodesk.com/knowledge/public/v1/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http product-help https://api.aps.autodesk.com/knowledge/public/v1/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"product-help": {
"url": "https://api.aps.autodesk.com/knowledge/public/v1/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"product-help": {
"type": "http",
"url": "https://api.aps.autodesk.com/knowledge/public/v1/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://api.aps.autodesk.com/knowledge/public/v1/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 도메인 api.aps.autodesk.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.12)은 10일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Tools MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Autodesk Product Help MCP
Give any MCP-compatible AI client read-only access to Autodesk's official Help and Support documentation.
Getting started · Tools · Examples · Troubleshooting · Docs
Autodesk® Product Help is a Model Context Protocol (MCP) Server that connects AI agents directly to Autodesk’s official product documentation across 110+ products including Autodesk Fusion®, AutoCAD®, Revit®, Inventor®, Maya®, Civil 3D®, and more. As a secure, read-only interface, it allows AI tools to search, navigate, and retrieve trusted Autodesk help content. This enables support for natural language queries, accelerates onboarding, and provides a reliable foundation for intelligent agents built on authoritative Autodesk product documentation.
Key Features:
Requirements:
About Autodesk
The world's designers, engineers, builders, and creators trust Autodesk to help them design and make anything. From the buildings we live and work in, to the cars we drive and the bridges we drive over. From the products we use and rely on, to the movies and games that inspire us. Autodesk's Design and Make Platform unlocks the power of data to accelerate insights and automate processes, empowering our customers with the technology to create the world around us and deliver better outcomes for their business and the planet. For more information, visit autodesk.com.
[!IMPORTANT]
Autodesk hosts and operates this service, so there is nothing to install or run locally. This folder of the ai-integrations repository contains the MCP Registry metadata (
server.json) and setup documentation.
Once connected, try asking your assistant:
Endpoint: https://api.aps.autodesk.com/knowledge/public/v1/mcp
Any MCP client that supports remote servers over Streamable HTTP can connect to this URL. No credentials are needed. A health check is available at https://api.aps.autodesk.com/knowledge/public/health.
Autodesk Product Help is listed in both apps, so you can connect it without any configuration:
Claude Code
claude mcp add --transport http autodesk-product-help \
https://api.aps.autodesk.com/knowledge/public/v1/mcp
Cursor
Or add it manually to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):
{
"mcpServers": { "autodesk-product-help": { "url": "https://api.aps.autodesk.com/knowledge/public/v1/mcp" } } }
VS Code
Or add it manually to .vscode/mcp.json in your workspace:
{
"servers": { "autodesk-product-help": { "type": "http", "url": "https://api.aps.autodesk.com/knowledge/public/v1/mcp" } } }
You can also run MCP: Add Server from the Command Palette, choose HTTP, and paste the endpoint URL.
Windsurf
Add the server to ~/.codeium/windsurf/mcp_config.json, then restart Windsurf:
{
"mcpServers": { "autodesk-product-help": { "serverUrl": "https://api.aps.autodesk.com/knowledge/public/v1/mcp" } } }
Other clients and SDKs
For other clients, add a remote HTTP server that points to the endpoint URL. The configuration key names vary, so check your client's MCP documentation.
To call the server from your own code, use an official MCP SDK.
Python (pip install "mcp>=2"):
import asyncio
from mcp import ClientSession from mcp.client.streamable_http import streamable_http_client
MCP_URL = "https://api.aps.autodesk.com/knowledge/public/v1/mcp"
async def main() -> None: async with streamable_http_client(MCP_URL) as (read, write): async with ClientSession(read, write) as session: await session.initialize() result = await session.call_tool( "search_help_content", {"query": "AutoCAD error 1603", "locale": "en_US"}, ) structured = result.structured_content or {} for doc in structured.get("results", []): print(doc["title"], doc["url"])
if name == "main": asyncio.run(main())
TypeScript / Node.js (npm install @modelcontextprotocol/sdk):
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";
const MCP_URL = "https://api.aps.autodesk.com/knowledge/public/v1/mcp";
const client = new Client({ name: "example", version: "1.0.0" }); await client.connect(new StreamableHTTPClientTransport(new URL(MCP_URL)));
const { structuredContent } = await client.callTool({ name: "search_help_content", arguments: { query: "AutoCAD error 1603", locale: "en_US" }, });
for (const doc of structuredContent?.results ?? []) { console.log(doc.title, doc.url); }
await client.close();
Paste this into your AI coding agent:
Add the Autodesk Product Help MCP server to this environment.
Use the setup documentation at https://github.com/Autodesk/ai-integrations/tree/main/product-help/remote-mcp-server and the endpoint https://api.aps.autodesk.com/knowledge/public/v1/mcp (Streamable HTTP, no authentication). Verify the connection with initialize and tools/list.
curl -sS -X POST https://api.aps.autodesk.com/knowledge/public/v1/mcp \
-H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{ "protocolVersion":"2025-06-18","capabilities":{}, "clientInfo":{"name":"curl","version":"1.0"}}}'
A successful response reports serverInfo.name as autodesk-knowledge-public-v1-mcp-server.
The server exposes two tools. Both are annotated as read-only, non-destructive, and idempotent.
| Tool | Purpose |
|---|---|
get_available_products | List the supported Autodesk products, with their product codes and release codes |
search_help_content | Search Help and Support documentation and return ranked results with source URLs |
get_available_productsReturns the product catalog as a list of { product_name, product_code, release_codes } objects. It takes no arguments.
Call it when you need a valid product_code or release_code to narrow a search. Release codes are identifiers such as 2025, not display names such as "AutoCAD 2025". The catalog can change over time, so treat this tool as the authoritative list rather than hardcoding values.
search_help_contentSearches Autodesk documentation and support articles and returns the most relevant documents.
| Parameter | Required | Description |
|---|---|---|
query | Yes | Keyword-rich search text, 2 to 1500 characters. Include the product, the feature or task, and any exact error codes. Write it in the same language as locale. |
locale | Yes | Language and region for search and results, for example en_US, de_DE, ja_JP, or zh_CN. The tool accepts regional locale values, several of which can map to the same language (for example de_DE, de_AT, and de_CH are all German). The tool schema lists every accepted value. |
product_code | No | Limits results to one product. Must be a value from get_available_products. Preferred over product_name. |
product_name | No | Alternative to product_code. If both are set, they must refer to the same product. |
release_code | No | Limits results to one release, for example 2025. Requires product_code or product_name, and must be a valid release for that product. |
sources | No | sfdc_articles (support knowledge base articles), product_documentation (official product documentation), or both. Searches both if omitted. |
max_results | No | Number of results to return, 1 to 50. Defaults to 5. |
Each result includes title, url, locale, body (full text or an excerpt), media_type, and source. The response also includes total_results.
Example call:
{
"name": "search_help_content", "arguments": { "query": "AutoCAD Error 1603 install failed", "locale": "en_US", "product_code": "ACD", "max_results": 3 } }
search_help_content directly when the product is already known. Call get_available_products only when you need to look up or validate a product or release code.get_available_products, leave that filter out rather than guessing.query keyword-rich: include the product and the feature or task, keep the user's wording where possible, and include exact error text or codes.query in the same language as locale, and take locale from the user's context rather than guessing it.url of each result you use, so users can read the original article.MCP clients and SDKs handle
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