Endnote MCP server

EndNote MCP

<!-- mcp-name: io.github.gokmengokhan/endnote-mcp -->

Connect your EndNote reference library to Claude AI. Search references, read PDFs, format citations, find related papers, and generate bibliographies — all directly in Claude Desktop conversations.

What It Does

Once set up, you can ask Claude things like:

• "Search my library for social capital and Bourdieu"
• "Find papers about how organisations deal with uncertainty" (semantic search)
• "Find references related to paper #3844"
• "Give me the APA citation for reference #1234"
• "Generate a bibliography for references 12, 45, 78, 102"
• "Export references 12, 45, 78 as BibTeX"
• "Read pages 5-7 from that Smith et al. paper"

Claude searches your local library — nothing is uploaded to the cloud beyond the normal conversation.

How It Works

EndNote Library → XML Export → endnote-mcp index → SQLite Database (FTS5 + Embeddings)
                                                          ↕
                                   Claude Desktop ← MCP Server (12 tools)

Your references and PDF text are indexed into a local SQLite database with full-text search. Optionally, AI embeddings enable semantic search — finding papers by meaning, not just keywords. When semantic dependencies are installed, new references are automatically embedded during indexing. Claude connects through the Model Context Protocol (MCP).

Requirements

• EndNote 20+ (any edition)
• Claude Desktop app
• Python 3.10+
• uv (recommended) or pip

Quick Start

1. Install

# With uv (recommended)
uv tool install endnote-mcp

# Or with pip
pip install endnote-mcp

2. Export your library from EndNote

In EndNote: File → Export → choose XML format → save to a convenient location (e.g., Desktop).

3. Run the setup wizard

endnote-mcp setup

The wizard will:

• Auto-detect your XML export and PDF directory
• Create the configuration
• Index your library
• Configure Claude Desktop automatically

4. Restart Claude Desktop

Quit and reopen Claude Desktop. You'll see "EndNote Library" in your MCP connectors.

That's it. Start asking Claude about your references.

Semantic Search (Optional)

Enable meaning-based search that finds references even when they use different terminology than your query. For example, searching "how companies prepare for uncertain futures" finds papers on scenario planning and strategic foresight.

# Install semantic search dependencies
pip install endnote-mcp[semantic]

# Generate embeddings (~3 min for 4,000 references)
endnote-mcp embed

This uses the lightweight all-MiniLM-L6-v2 model locally — no API keys needed, everything stays on your machine.

Commands

Shortened. The full README is on GitHub.