MCP MeasureMCP Measure

index observed

AI/ML Research Papers

AI/ML research papers from arXiv, DBLP, and HuggingFace

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
90%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~363Tokens (tool definitions)
~1.0 KBTypical response size
Minimal attention impact (0.28% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "ai": {
      "url": "https://ai.memoryapi.org/mcp"
    }
  }
}

Remote endpoints

https://ai.memoryapi.org/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_ai_papers(type, q, date, limit)

Get trending or searched AI/ML research papers from HuggingFace Papers. Returns trending papers for a given date or search results by keyword.

Input Schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "description": "trending or search (default: trending)",
      "default": "trending"
    },
    "q": {
      "type": "string",
      "description": "Search query (for type=search)"
    },
    "date": {
      "type": "string",
      "description": "Date for trending papers (YYYY-MM-DD, default: yesterday)"
    },
    "limit": {
      "type": "number",
      "description": "Number of results (max 25)",
      "default": 10
    }
  }
}
🟢search_arxiv_ai(q, category, limit)

Search arXiv for AI/ML papers by keyword and category. Returns recent submissions sorted by date.

Input Schema

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Keyword search query",
      "default": "large language model"
    },
    "category": {
      "type": "string",
      "description": "arXiv category: cs.AI, cs.LG, cs.CL, cs.CV, cs.RO, stat.ML (default: cs.LG)",
      "default": "cs.LG"
    },
    "limit": {
      "type": "number",
      "description": "Number of results (max 20)",
      "default": 10
    }
  }
}
🟢search_dblp(q, author, limit)

Search DBLP computer science bibliography for publications or authors. Free, no key required.

Input Schema

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Publication search query",
      "default": "transformer attention"
    },
    "author": {
      "type": "string",
      "description": "Search by author name instead of publication title"
    },
    "limit": {
      "type": "number",
      "description": "Number of results (max 25)",
      "default": 10
    }
  }
}

Recommended Prompts

search_research
Search for information about [topic] using AI/ML Research Papers
Expected tools: search_arxiv_ai
find_specific
Find [specific item] using AI/ML Research Papers
Expected tools: search_arxiv_ai
retrieve_data
Get details about [item] from AI/ML Research Papers
Expected tools: get_ai_papers
fetch_info
Fetch [information type] using AI/ML Research Papers
Expected tools: get_ai_papers
research_workflow
Search for [topic], then get detailed information about the top results using AI/ML Research Papers
Expected tools: search_arxiv_aiget_ai_papers

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded3 tools
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