evernote-mcp-server

🥈Silver

Evernote MCP server enables LLMs like Claude Desktop to query your Evernote notes via the Model Context Protocol. Operations teams benefit from automated note retrieval and integration with AI workflows. Connects to Evernote API and supports OAuth for secure access.

4780Updated 2mo ago

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/brentmid/evernote-mcp-server.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Set up the Evernote MCP server**: Install the Evernote MCP server in your AI tool (e.g., Claude Desktop) and authenticate via OAuth to connect to your Evernote account. Ensure you have the correct API permissions. 2. **Define your query**: Use the prompt template to specify the tags, timeframes, or other filters you want to apply to your note retrieval. For example, replace [TAG] with `#project-alpha` and [TIMEFRAME] with `30 days`. 3. **Execute the query**: Run the prompt in your AI tool to fetch the relevant notes. The MCP server will retrieve the notes and pass them to the AI for analysis. 4. **Analyze and act**: Review the AI’s summary and suggestions. Use the extracted details (e.g., deadlines, action items) to prioritize tasks or draft follow-up communications. For example, copy the action items into your task manager or calendar. 5. **Refine as needed**: If the results aren’t specific enough, adjust the prompt (e.g., narrow the timeframe or add additional tags) and rerun the query. Use the MCP server’s filtering capabilities to refine your search.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/brentmid/evernote-mcp-server

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use the Evernote MCP server to retrieve and analyze notes from my Evernote account. Focus on notes tagged with [TAG] or created within the last [TIMEFRAME]. Summarize the key insights or action items from these notes and suggest how I can prioritize or act on them. If relevant, extract specific details like deadlines, decisions, or follow-up tasks.

Example Output

Here’s a summary of your Evernote notes tagged with **#project-alpha** from the last **30 days**, extracted via the Evernote MCP server:

1. **Client Meeting Notes (June 12, 2024)**
   - **Key Decision**: Approved the new branding mockups for the Q3 campaign.
   - **Action Items**: 
     - Send final mockups to the design team by June 17 (assigned to @john).
     - Schedule a follow-up with the client on June 20 to review feedback.
   - **Deadline**: June 17 for design team deliverable.

2. **Budget Review (June 5, 2024)**
   - **Insight**: The marketing budget for Q3 is 15% over the allocated spend due to unplanned ad placements.
   - **Recommendation**: Reallocate funds from the digital ads line item to cover the overage. Discuss with finance by June 10.

3. **Team Sync (May 29, 2024)**
   - **Key Takeaway**: The dev team is blocked on the API integration for the new feature. They need access to the staging environment by June 3.
   - **Next Steps**: Contact IT to expedite staging environment access.

**Priority Actions**:
- Follow up with @john on the June 17 deadline.
- Address the budget overage with finance before June 10.
- Resolve the staging environment access issue by June 3.

Would you like me to draft an email to @john or the finance team based on these notes?