mcp-server

Edgeever: Free Evernote Alternative

Get a self-hosted note-taking platform with edgeever, ideal for founders seeking a cost-free knowledge base solution.
1,364 stars757 forksHTMLGuide quality 8/10Updated 9/4/2026100% free · open source
What it does

EdgeEver is a serverless, open-source Evernote alternative that allows users to host their own note-taking platform on Cloudflare with native support for AI agents.

When to use it
  • When you need a self-hosted note-taking solution with AI capabilities
  • When you want to avoid the costs associated with traditional Evernote alternatives
  • When you need a highly customizable note-taking platform
Ready-to-paste prompt
curl -X POST -H 'Content-Type: application/json' -d '{"title": "My First Note", "content": "Hello, World!"}' https://your-worker-url.com/api/notes
Heads up: You need to have a Cloudflare account and set up a new Worker, and also install the Cloudflare wrangler tool using `npm install -g @cloudflare/wrangler` before deploying EdgeEver
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/edgeever && curl -fsSL https://workflowstacks.com/api/skills/edgeever/claude-skill -o ~/.claude/skills/edgeever/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Edgeever: Free Evernote Alternative works
Codeflow
Free to inspect

Edgeever: Free Evernote Alternative is a very large HTML project (~174k lines across 982 code files, plus 62 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, AGPL-3.0 license, has a test suite.

Size
Very large codebase
~174k lines · 982 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
No API keys detected
HTML 64%TypeScript 22%JavaScript 7%Swift 4%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
What's in each folder
apps/web/Frontend / UI415 files
apps/api/Backend / API125 files
packages/Sub-packages / plugins106 files
apps/site/Frontend / UI92 files
apps/extension/Sub-packages / plugins34 files
docs/Documentation46 files
apps/mobile/Package141 files
apps/ios/Package112 files
READMEHas testsDocumentedCI checksDocker readyAGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
tianma-if
Language
HTML
Category
mcp-server
Published
6/26/2026

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