Which integrations are available for this server?

Provides semantic search across the complete ObjectARX 2026 documentation set, including guides for C++, .NET, AutoLISP, and DXF, enabling developers to quickly find relevant documentation for Autodesk API development.

How do I use oarx-docs-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@oarx-docs-mcp search for AcDbObjectId class" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

oarx-docs-mcp

by dantte-lp

Overview Schema Related Servers Score Discussions

Python

Local

Python 3.13+ MCP 1.0 ChromaDB License: MIT

oarx-docs-mcp

MCP server for semantic search across the complete ObjectARX 2026 documentation set. 89,715 text chunks from 22 guides indexed in ChromaDB with hybrid BM25 + dense retrieval.

Overview

oarx-docs-mcp indexes 89,715 text chunks from 22 documentation guides into a local ChromaDB vector database and exposes them through the Model Context Protocol (MCP) for use with Claude Code, Claude Desktop, or any MCP-compatible client.

Related MCP server: ragi

Highlights

3 MCP tools — search_docs, lookup_class, list_guides
89,715 indexed chunks from 22 documentation guides (ObjectARX SDK + Autodesk CloudHelp)
Hybrid retrieval — BM25 sparse + dense vectors + Reciprocal Rank Fusion
Cross-encoder reranking with BAAI/bge-reranker-v2-m3
Query optimization — AutoLISP detection, C++ API expansion, guide-specific boosting
Container-ready — Containerfile + compose.yaml (Podman/Docker)
Claude Code plugin — 4 skills + 2 slash commands for ObjectARX development

Data Sources

Source	Guides	Pages	Description
ObjectARX SDK (CHM)	8	~45,800	C++ Reference, .NET Reference, Developer Guides, Migration, Interop
Autodesk CloudHelp (web)	14	~5,000	AutoLISP, ActiveX/VBA, JavaScript, DXF, Customization

MCP Tools

Tool	Description
`list_guides`	List all 22 available documentation guides
`search_docs`	Semantic search with optional guide filter and result limit
`lookup_class`	Look up a class or function by name (title match with semantic fallback)

Quick Start

# Clone and install
cd mcp/oarx-docs-mcp
uv sync

# Download web documentation (~5,000 pages)
OARX_DATA_DIR=./data uv run python -m oarx_docs_mcp.scraper

# Index CHM files from ObjectARX SDK (optional, requires 7-Zip)
OARX_DATA_DIR=./data OARX_CHM_DIR=/path/to/sdk/docs uv run python -m oarx_docs_mcp.indexer

# Or index web docs only (no SDK needed)
OARX_DATA_DIR=./data uv run python -m oarx_docs_mcp.indexer

Client Configuration

Add to ~/.claude.json (or project-level .claude.json):

{
  "mcpServers": {
    "oarx-docs": {
      "command": "uv",
      "args": [
        "run",
        "--directory", "/path/to/oarx-docs-mcp",
        "python", "-m", "oarx_docs_mcp"
      ],
      "env": {
        "OARX_DATA_DIR": "/path/to/oarx-docs-mcp/data"
      }
    }
  }
}

{
  "mcpServers": {
    "oarx-docs": {
      "command": "uv",
      "args": [
        "run",
        "--directory", "C:/Users/user/oarx-docs-mcp",
        "python", "-m", "oarx_docs_mcp"
      ],
      "env": {
        "OARX_DATA_DIR": "C:/Users/user/oarx-docs-mcp/data"
      }
    }
  }
}

Add to Claude Desktop's MCP configuration file:

Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "oarx-docs": {
      "command": "uv",
      "args": [
        "run",
        "--directory", "/path/to/oarx-docs-mcp",
        "python", "-m", "oarx_docs_mcp"
      ],
      "env": {
        "OARX_DATA_DIR": "/path/to/oarx-docs-mcp/data"
      }
    }
  }
}

Restart Claude Desktop to pick up the new configuration.

Add to ~/.codex/config.toml (global) or .codex/config.toml (project):

[mcp_servers.oarx-docs]
command = "uv"
args = ["run", "--directory", "/path/to/oarx-docs-mcp", "python", "-m", "oarx_docs_mcp"]

[mcp_servers.oarx-docs.env]
OARX_DATA_DIR = "/path/to/oarx-docs-mcp/data"

Or via CLI:

codex mcp add oarx-docs --env OARX_DATA_DIR=/path/to/data -- uv run --directory /path/to/oarx-docs-mcp python -m oarx_docs_mcp

Container Setup

# Build image
podman-compose build

# Download web docs
podman-compose --profile scraper run --rm scraper

# Index (requires OARX_CHM_DIR env var for CHM files)
OARX_CHM_DIR=/path/to/sdk/docs podman-compose --profile indexer run --rm indexer

# Run server
podman-compose up server

Configuration

All settings are configurable via environment variables:

Variable	Default	Description
`OARX_CHM_DIR`	`/docs`	Directory containing `.chm` files from ObjectARX SDK
`OARX_DATA_DIR`	`/app/data`	Data directory for ChromaDB and extracted HTML
`OARX_EMBEDDING_MODEL`	`BAAI/bge-m3`	Sentence-transformers model name
`OARX_CHUNK_SIZE`	`800`	Text chunk size in characters
`OARX_CHUNK_OVERLAP`	`200`	Overlap between adjacent chunks
`OARX_7Z_PATH`	auto-detect	Path to 7z executable
`OARX_DB_SOURCE`	`github`	Database source: `github`, `huggingface`, or `local`
`OARX_DB_VERSION`	`0.1.0`	Database version to download
`OARX_GITHUB_REPO`	`dantte-lp/oarx-docs-mcp`	GitHub repository for release assets

Development

# Install with dev dependencies
uv sync --all-extras

# Run tests
uv run python -m pytest tests/ -v

# Lint
uv run ruff check src/ tests/

# Type check
uv run mypy

Tech Stack

Python 3.13+ with uv
MCP SDK (FastMCP, stdio transport)
ChromaDB (persistent vector store, HNSW + cosine)
sentence-transformers (all-MiniLM-L6-v2, 384-dim embeddings)
BeautifulSoup4 + lxml (HTML parsing)
httpx (web documentation scraping)
Podman / podman-compose (containerization)

Project Structure

oarx-docs-mcp/
├── src/oarx_docs_mcp/
│   ├── __main__.py          # Entry point
│   ├── config.py            # Settings + guide registries
│   ├── data_manager.py      # Database auto-download
│   ├── indexer.py           # CHM/HTML → ChromaDB
│   ├── retriever.py         # BM25 + dense + RRF + reranking
│   ├── scraper.py           # CloudHelp downloader
│   └── server.py            # MCP tools (3 tools)
├── tests/                   # pytest + pytest-asyncio
├── plugin/                  # Claude Code plugin
├── docs/
│   ├── en/                  # English documentation
│   └── ru/                  # Russian documentation
├── Containerfile            # OCI container image
└── compose.yaml             # Podman/Docker services

Documentation

Document	EN	RU
Architecture	architecture.md	architecture.md
Installation	installation.md	installation.md
Configuration	configuration.md	configuration.md
Usage	usage.md	usage.md
Troubleshooting	troubleshooting.md	troubleshooting.md
Changelog	CHANGELOG.md	—
Contributing	CONTRIBUTING.md	CONTRIBUTING.RU.md

Contributing

See CONTRIBUTING.md (RU).

License

MIT

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

Need Help?

Related Servers

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

Your AI Chatbot Just Exposed Your CEO's Salary to an Intern
By Om-Shree-0709 on July 2, 2026.
Agent Identity
MCP Security
OAuth Delegation
Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)
By Om-Shree-0709 on June 30, 2026.
Agentic Ai
Prompt Injection
WebAssembly
Lightport: Open-Sourcing Glama's AI Gateway
By punkpeye on April 27, 2026.
OpenAI
open source

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dantte-lp/oarx-docs-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server