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X (Twitter)

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enescinr

A Model Context Protocol server allows to interact with Twitter, enabling posting tweets and searching Twitter.

Publisherenescinr
Repositorytwitter-mcp
LanguageTypeScript
Forks
56
Stars
391
Available tools
0
Transport typestdio
Categories
LicenseMIT
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  • Connect tools to AI workflows

    X (Twitter) exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    391 stars and 56 forks from the linked repository.

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Twitter MCP Server

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This MCP server allows Clients to interact with Twitter, enabling posting tweets and searching Twitter.

Quick Start

  1. Create a Twitter Developer account and get your API keys from Twitter Developer Portal

  2. Add this configuration to your Claude Desktop config file:

Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

json
{
  "mcpServers": {
    "twitter-mcp": {
      "command": "npx",
      "args": ["-y", "@enescinar/twitter-mcp"],
      "env": {
        "API_KEY": "your_api_key_here",
        "API_SECRET_KEY": "your_api_secret_key_here",
        "ACCESS_TOKEN": "your_access_token_here",
        "ACCESS_TOKEN_SECRET": "your_access_token_secret_here"
      }
    }
  }
}
  1. Restart Claude Desktop

That's it! Claude can now interact with Twitter through two tools:

  • post_tweet: Post a new tweet
  • search_tweets: Search for tweets

Example Usage

Try asking Claude:

  • "Can you post a tweet saying 'Hello from Claude!'"
  • "Can you search for tweets about Claude AI?"

Troubleshooting

Logs can be found at:

  • Windows: %APPDATA%\Claude\logs\mcp-server-twitter.log
  • macOS: ~/Library/Logs/Claude/mcp-server-twitter.log

Development

If you want to contribute or run from source:

  1. Clone the repository:
bash
git clone https://github.com/EnesCinr/twitter-mcp.git
cd twitter-mcp
  1. Install dependencies:
bash
npm install
  1. Build:
bash
npm run build
  1. Run:
bash
npm start

Running evals

The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.

bash
OPENAI_API_KEY=your-key  npx mcp-eval src/evals/evals.ts src/index.ts

License

MIT

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "twitter-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@enescinar/twitter-mcp"
      ],
      "env": {
        "API_KEY": "your_api_key_here",
        "API_SECRET_KEY": "your_api_secret_key_here",
        "ACCESS_TOKEN": "your_access_token_here",
        "ACCESS_TOKEN_SECRET": "your_access_token_secret_here"
      }
    }
  }
}

Use X (Twitter) MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once X (Twitter) is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add X (Twitter) as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the X (Twitter) MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "x-twitter": {
      "command": "npx",
      "args": [
        "-y",
        "@enescinar/twitter-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the X (Twitter) MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the X (Twitter) MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use X (Twitter) to help me with this task?
X (Twitter)
Sure. I read it.
Here is what I found using X (Twitter).

Frequently asked questions

What is the X (Twitter) MCP server used for?

X (Twitter) is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use X (Twitter) MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use X (Twitter) with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use X (Twitter) MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With X (Twitter) connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect X (Twitter) MCP to TypingMind?

X (Twitter) runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does X (Twitter) MCP provide in TypingMind?

X (Twitter) exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use X (Twitter) MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If X (Twitter) requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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