
XMind MCP Server
The XMind MCP Server seamlessly connects AI assistants to XMind mind map files, enabling advanced querying, extraction, and analysis of mind maps for efficient ...
Automate posting, manage drafts, and publish threads to X (Twitter) from any AI chat or workflow with the X(Twitter) MCP Server for FlowHunt.
The X(Twitter) MCP Server is a Model Context Protocol (MCP) server designed to allow AI assistants and agents to create, manage, and publish posts to X (formerly known as Twitter) directly through chat environments such as Claude. By acting as a bridge between AI interfaces and the X/Twitter API, this server streamlines tasks such as posting tweets, managing drafts, and publishing threads. It enables developers and users to automate social media activities, integrate X/Twitter workflows into their development stack, and enhance productivity by eliminating the need for manual posting or separate tools. Its integration with MCP-compatible clients makes it an effective tool for workflow automation, content management, and social media interactions.
No explicit prompt templates are listed in the repository.
No explicit resources are listed in the repository documentation or code.
No direct list of tools is found in the repository’s documentation or visible code files.
No specific Windsurf instructions are provided.
brew install uv
git clone https://github.com/vidhupv/x-mcp.git
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"x_mcp": {
"command": "uv",
"args": [
"--directory",
"/path/to/x-mcp",
"run",
"x-mcp"
],
"env": {
"TWITTER_API_KEY": "your_api_key",
"TWITTER_API_SECRET": "your_api_secret",
"TWITTER_ACCESS_TOKEN": "your_access_token",
"TWITTER_ACCESS_TOKEN_SECRET": "your_access_token_secret"
}
}
}
}
API keys are stored in the env
object of the configuration JSON.
Example:
"env": {
"TWITTER_API_KEY": "your_api_key",
"TWITTER_API_SECRET": "your_api_secret",
"TWITTER_ACCESS_TOKEN": "your_access_token",
"TWITTER_ACCESS_TOKEN_SECRET": "your_access_token_secret"
}
No specific Cursor instructions are provided.
No specific Cline instructions are provided.
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"x_mcp": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “x_mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ⛔ | None listed |
List of Resources | ⛔ | None listed |
List of Tools | ⛔ | None listed |
Securing API Keys | ✅ | In config JSON |
Sampling Support (less important in evaluation) | ⛔ | Not specified |
Based on the available documentation and code, X(Twitter) MCP Server provides solid setup instructions for Claude and clearly covers API key management. However, it lacks explicit documentation on resources, tools, and prompt templates. Overall, this MCP is functional but lacks depth in documentation and feature transparency.
Has a LICENSE | ✅ (MIT) |
---|---|
Has at least one tool | ⛔ |
Number of Forks | 16 |
Number of Stars | 57 |
It is a Model Context Protocol (MCP) server that enables AI assistants and agents to create, manage, and publish posts to X (formerly Twitter) directly from chat or workflow environments. It automates social media tasks, integrates with AI tools, and streamlines content management.
Typical uses include automated tweet posting, thread creation and publishing, draft management, integrating X/Twitter posting into custom workflows, and facilitating team review and moderation before tweeting.
API keys are securely stored in the `env` section of your MCP server configuration file. Never share these credentials publicly or commit them to source control.
Add the MCP component to your FlowHunt flow, click to configure, and insert your MCP server configuration using the JSON structure provided in the documentation. Ensure the server’s URL and credentials are correct for your deployment.
No prompt templates or additional tools are documented in the repository at this time. The server focuses on posting, draft management, and thread publishing via MCP protocols.
Connect your AI workflows to X (Twitter) for seamless tweet automation, draft management, and content publishing—directly from chat or FlowHunt flows.
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