Puchai-linksaver-mcp

Itguykunal/Puchai-linksaver-mcp

3.1

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Puchai-linksaver-mcp is a Python MCP server tool designed to save, manage, and fetch web links using Puch AI’s MCP framework.

Puchai-linksaver-mcp

A Python MCP server tool to save, manage, and fetch web links using Puch AI’s MCP framework.
Supports adding, listing, updating, and deleting links with markdown content extraction.

How to Use on Puch AI

To start using the Link Saver MCP on Puch AI, use this command in chat:


/mcp use eLt2pGMdOu

or

https://puch.ai/mcp/wHeThy0jj5

Anyone can connect using this command and start saving and managing links!

How to Use Your Link Saver Tools

Just chat naturally with Puch AI, and it will automatically use your tools when needed.

🔗 Adding Links

Examples:

📋 Viewing Your Links

Ask:

  • Show me all my saved links
  • List my bookmarks
  • What links do I have?

✏️ Updating Links

Say:

  • Update link 1 with title "New Title"
  • Change the description of link 2 to "Updated description"
  • Modify link 3's URL to https://newurl.com

🗑️ Deleting Links

Tell it:

  • Delete link 1
  • Remove link number 3
  • Delete the link with ID 2

🌐 Fetching Content

Request:

Example Conversation (CRUD Operations)

Here’s how interacting with Puchai-linksaver-mcp looks in a real chat with Puch AI:

You:

Save this link: https://leetcode.com/problems/subarray-sum-equals-k/description/ with title "leetcode" and description "solve this question before 12th Aug"

Puch AI: ✅ Link added successfully! ID: 1

Title: leetcode

URL: https://leetcode.com/problems/subarray-sum-equals-k/description/

Description solve this question before 12th Aug

You:

Save this link: https://github.com/TurboML-Inc/mcp-starter?tab=readme-ov-file

Puch AI: ✅ Link added successfully!

ID: 2

Title: Link 2

URL: https://github.com/TurboML-Inc/mcp-starter?tab=readme-ov-file

You:

Show me all my links

Puch AI: 📋 Your saved links:

ID: 1  
Title: leetcode  
URL: https://leetcode.com/problems/subarray-sum-equals-k/description/  
Description: solve this question before 12th Aug  
Created: 2025-08-09

ID: 2  
Title: Link 2  
URL: https://github.com/TurboML-Inc/mcp-starter?tab=readme-ov-file  
Created: 2025-08-09

Total: 2 links

You:

Update link 1 with https://github.com

Puch AI: ✅ Link updated successfully!

ID: 1

Title: leetcode

URL: https://github.com

You:

Delete link 2

Puch AI:

🗑️ Link deleted successfully!

This example shows how easy it is to add, view, update, delete, and fetch links using natural language with Puch AI and your Link Saver MCP server!

Tips

  • Be natural — talk to Puch AI like a friend
  • Use link IDs — refer to links by their numbers for updates or deletions
  • No special commands needed — Puch AI automatically chooses the right tool
  • Links persist — all saved links are stored in the links_db.json file

For developement - Setup & Run

  1. Install dependencies (e.g., via pip install -r requirements.txt)
  2. Run the server:

   python links_mcp.py
  1. In a new terminal, run ngrok to expose port 8085:

    ngrok http 8085
  1. Ngrok will show a public forwarding URL like:

     https://example.ngrok.io -> http://localhost:8085
  1. Use the ngrok URL (https://example.ngrok.io) in your Puch AI MCP usage, for example:

    /mcp connect https://example.ngrok.io <bearer_token>

By itguykunal