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MCP server · Social

io.github.zezeron/tweetsave-mcp

· github.com/zezeron/tweetsave-mcp

MCP server for fetching Twitter/X content and converting to blog posts. No API key required.

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About io.github.zezeron/tweetsave-mcp

io.github.zezeron/tweetsave-mcp is an MCP server in the Social category: mCP server for fetching Twitter/X content and converting to blog posts. No API key required.

Install

Claude Code
claude mcp add io-github-zezeron-tweetsave-mcp -- npx -y tweetsave-mcp
npx
npx -y tweetsave-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

Features

  • Fetch tweets with full content, media, and engagement metrics
  • Convert tweets to formatted blog posts
  • Extract media URLs (photos, videos, GIFs)
  • Batch fetch multiple tweets (up to 10)
  • Support for quote tweets and polls
  • Markdown and JSON output formats

Quick Start

Remote MCP (Recommended)

No installation required - connect directly to hosted server:

npx -y mcp-remote https://mcp.tweetsave.org/sse

Local (npx)

npx -y tweetsave-mcp

Installation

Remote MCP (Recommended)

Connect to hosted server - no local installation needed.

Claude Code

# Global (all projects)
claude mcp add -s user tweetsave -- npx -y mcp-remote https://mcp.tweetsave.org/sse

# Project only
claude mcp add tweetsave -- npx -y mcp-remote https://mcp.tweetsave.org/sse

Claude Desktop / Cursor / Windsurf

Add to your MCP configuration:

{
  "mcpServers": {
    "tweetsave": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.tweetsave.org/sse"]
    }
  }
}

Config file locations:

  • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
  • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
  • Cursor: ~/.cursor/mcp.json
  • Windsurf: ~/.codeium/windsurf/mcp_config.json

VS Code

Create .vscode/mcp.json in your workspace:

{
  "servers": {
    "tweetsave": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.tweetsave.org/sse"]
    }
  }
}

Gemini CLI

gemini mcp add tweetsave "npx -y mcp-remote https://mcp.tweetsave.org/sse"

JetBrains IDEs

Settings → Tools → MCP Server → Add:

OpenCode

opencode mcp add

Then follow prompts:

Antigravity

Click ... menu → MCP → Manage MCP Server → View raw config:

{
  "mcpServers": {
    "tweetsave": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.tweetsave.org/sse"]
    }
  }
}

Local Installation

For offline use or development.

Claude Code

# Global (all projects)
claude mcp add -s user tweetsave -- npx -y tweetsave-mcp

# Project only
claude mcp add tweetsave -- npx -y tweetsave-mcp

Claude Desktop / Cursor / Windsurf

{
  "mcpServers": {
    "tweetsave": {
      "command": "npx",
      "args": ["-y", "tweetsave-mcp"]
    }
  }
}

Available Tools

tweetsave_get_tweet

Fetch a single tweet with all content.

Parameter Type Default Description
url string required Tweet URL or ID
response_format 'markdown' | 'json' 'markdown' Output format

tweetsave_get_thread

Fetch a tweet thread (connected tweets).

Parameter Type Default Description
url string required Any tweet URL in thread
response_format 'markdown' | 'json' 'markdown' Output format

tweetsave_to_blog

Convert tweet to blog post format.

Parameter Type Default Description
url string required Tweet URL or ID
include_engagement boolean true Include likes/retweets
response_format 'markdown' | 'json' 'markdown' Output format

tweetsave_batch

Fetch multiple tweets at once.

Parameter Type Default Description
urls string[] required Array of URLs (max 10)
response_format 'markdown' | 'json' 'markdown' Output format

tweetsave_extract_media

Extract direct media URLs from a tweet.

Parameter Type Default Description
url string required Tweet URL or ID
media_type 'all' | 'photos' | 'videos' 'all' Filter type

Output Examples

Markdown Format

## @itsPaulAi (Paul Couvert)

This is so good 🔥

You can run this new model on a laptop which is:
- 100% open source
- Only 3B active parameters (!!)

---
**Engagement**: 228 likes | 15 retweets | 29.9K views
**Posted**: January 19, 2026 at 08:02 PM

Blog Post Format

# This is so good 🔥 You can run this new model...

*A post by @itsPaulAi*

**Author**: Paul Couvert ([@itsPaulAi](https://x.com/itsPaulAi))
**Published**: January 19, 2026 at 08:02 PM
**Read time**: 1 min read

---

[Content here]

---

## Engagement

- **Likes**: 228
- **Retweets**: 15
- **Views**: 29.9K

Limitations

  • No replies/comments: FxTwitter API doesn't support fetching replies
  • Rate limits: FxTwitter has rate limits for heavy usage
  • Private tweets: Cannot access protected/private accounts

License

MIT

Contributing

Contributions welcome! Please open an issue or PR.

Support

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.zezeron/tweetsave-mcp

How do I install io.github.zezeron/tweetsave-mcp?

Run claude mcp add io-github-zezeron-tweetsave-mcp -- npx -y tweetsave-mcp, then add the server to your MCP client's configuration.

Is io.github.zezeron/tweetsave-mcp safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.zezeron/tweetsave-mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.