OpenArx
About
Open scientific knowledge MCP for AI agents. Three profiles: search (15 tools incl. find_evidence, compare_papers, explore_topic), publish (5 tools for direct submission with AI-assisted
Details
- Author
- OpenArx-AI
- Downloads
- 398
- Categories
- Knowledge Base, AI
Jump to
- Semantic, keyword, and hybrid search across a corpus of scientific papers
- Evidence checking: see what supports a claim, what contradicts it, and where there is no data
- Side-by-side comparison of papers
- Topic exploration that returns distinct conceptual approaches, not just a ranked list
- Methodology search: how a problem has been approached before
- Benchmark results drawn from paper data, and links from papers to their code
- Read access to a graph of claims and typed relations between them
- Document submission with automated review
- Two roles, selected by token type: researcher (search, read, publish) and governance (corpus read plus initiatives, discussion, voting)
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
OpenArxCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"openarx": {
"openarx": {
"type": "http",
"url": "https://mcp.openarx.ai/researcher/mcp",
"headers": {
"Authorization": "Bearer oarx_sk_YOUR_TOKEN_HERE"
}
}
}
}
}McpServers
{
"openarx": {
"type": "http",
"url": "https://mcp.openarx.ai/researcher/mcp",
"headers": {
"Authorization": "Bearer oarx_sk_YOUR_TOKEN_HERE"
}
}
}Let your agent work from real research instead of guessing: search papers, check what supports or contradicts a claim, and publish back.
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