---
title: "Publish my meeting notes to mdfy"
url: https://memory.wiki/r-um_oJp
updated: 2026-05-20T12:34:59.779Z
hub: https://memory.wiki/hub/raymindai
bundle_count: 2
concept_count: 12
source: "mcp"
---
# Publish my meeting notes to mdfy

> **You:** "Publish my meeting notes to mdfy"

I'll create the document now. → mdfy_create({ markdown: "# Meeting Notes..." })

Document created: URL: https://mdfy.cc/d/abc123 Status: publicly accessible

```

### Read a document
```

---

> **You:** "Read the document at mdfy.cc/d/abc123"

→ mdfy_read({ id: "abc123" })

Here's the content:

# Meeting Notes

...

```

### Update a document
```

---

> **You:** "Add a summary section to my doc"

→ mdfy_read({ id: "abc123" }) → mdfy_update({ id: "abc123", markdown: "# Meeting Notes\\n\\n## Summary\\n..." })

Document updated. Same URL: https://mdfy.cc/d/abc123

```

### List your documents
```

---

> **You:** "Show me my mdfy documents"

→ mdfy_list()

Found 8 documents:

1. Meeting Notes (abc123) — shared — 12 views
2. API Design (def456) — private — 3 views ...

```

### Make private / public
```

---

> **You:** "Make that document private"

→ mdfy_publish({ id: "abc123", published: false })

Document is now private (draft).

```

### Cross-AI workflow
```

You (in Claude): "Summarize mdfy.cc/d/abc123"

---

→ reads the document → provides summary

You (in ChatGPT): "Read mdfy.cc/d/abc123 and suggest improvements"

---

fetches the URL → gives feedback

You (in Claude): "Update mdfy.cc/d/abc123 with the improvements"

---

→ mdfy_update → same URL, updated content

```

## Available Tools

### Core (6 tools — local stdio package)

| Tool | Description |
|------|-------------|
| `mdfy_create` | Create document, get URL |
| `mdfy_read` | Read document content |
| `mdfy_update` | Update document |
| `mdfy_list` | List your documents |
| `mdfy_publish` | Toggle public/private |
| `mdfy_delete` | Delete document |

### Extended (25 tools — hosted HTTP MCP)

Append/prepend, sections (outline, extract, replace), duplicate, import URL, password protection, expiry, email restrictions, version history, diff, stats, folders, and more.

---
```

---

## Summary
mdfy is a document management system that allows users to create, read, update, list, and publish markdown documents with shareable URLs, supporting both local and extended tools for collaborative workflows across multiple AI assistants.

## Themes
- Document creation and sharing
- AI-powered document workflows
- Multi-AI collaboration platform

## Key takeaways
- mdfy provides six core tools (create, read, update, list, publish, delete) accessible via a local stdio package.
- Documents receive permanent URLs (mdfy.cc/d/{id}) upon creation that remain unchanged through updates and privacy toggling.
- Users can read documents created in one AI assistant and have another AI assistant fetch and modify them using the same URL.
- Twenty-five extended tools are available through hosted HTTP MCP, including version history, folders, password protection, and expiry settings.
- The publish tool controls document accessibility by toggling a published boolean parameter without changing the document ID.

## Insights
- The same URL persists across updates, enabling stable cross-AI references and workflows without link rot.
- The tool set is split into core (6 local tools) and extended (25 hosted tools), suggesting a tiered architecture where basic operations run locally while advanced features require HTTP connectivity.
- Documents can transition between public and private states without changing their identifier or URL, preserving collaboration continuity.

## Open questions / gaps
- What authentication mechanism prevents unauthorized users from reading or modifying documents via their URLs?
- How are the six core tools invoked in practice (what is the exact interface or SDK)?
- What are the specific use cases or limitations that distinguish which of the 25 extended tools should be used versus the core six?

## Concepts in this document
- **Chrome extension** _(entity)_
  Surface within memory.wiki ecosystem.
- **mdfy** _(entity)_
  A memory infrastructure layer that provides a URL-based knowledge hub for AI tools.
- **Model Context Protocol (MCP)** _(entity)_
  Technical protocol enabling AI agents to interact with mdfy documents for memory management.
- **AI Memory Ownership** _(concept)_
  Core philosophy that users should intentionally author and control their AI's memory rather than rely on automatic extraction.
- **Cross-AI interoperability** _(concept)_
  Core value proposition that any AI (Claude, ChatGPT, Gemini, Cursor) can read the same URL-based memory hub.
- **Cross-AI Workflow** _(concept)_
  Pattern for reading and updating mdfy documents across multiple AI tools using shared URLs.
- **mdfy Content Ecosystem** _(concept)_
  The underlying platform used to transform ephemeral chat sessions into permanent markdown documents.
- **Markdown as Lingua Franca** _(concept)_
  Using Markdown to ensure knowledge can be moved between any AI or human interface.
- **Law Navigation (Beop-dae-ro)** _(concept)_
  A paradigm shift from legal searching to guided action-based navigation for legal problems.
- **SSR & LLM Fetching** _(concept)_
  The technical requirement for Server-Side Rendering to allow LLMs to read web content.
- **Legal-Tech MVP Strategy** _(concept)_
  The strategy of starting with high-demand legal niches like tenant disputes or IP to validate an AI service.
- **Document Creation** _(concept)_
  Core capability to create markdown documents and receive shareable URLs in mdfy.

## Concept relations (within this doc's concepts)
- **Cross-AI Workflow** facilitated by **Markdown as Lingua Franca**
- **mdfy** enables **Document Creation**
- **mdfy** solves **Cross-AI interoperability**
- **mdfy** distributed via **Chrome extension**
- **Chrome extension** captures content for **mdfy**
- **Model Context Protocol (MCP)** bridges ai ecosystems **mdfy**

## Bundles containing this document
- [Bundle Test 001](https://memory.wiki/b/MDNKPYPH)
- [Test Memory 01](https://memory.wiki/b/nELhitjq)

_Hub canonical:_ https://memory.wiki/hub/raymindai
_Concept digest:_ https://memory.wiki/raw/hub/raymindai?digest=1&compact=1