Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Purefeed MCP Server search my saved tweets for AI trends"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol server that connects AI assistants to your Purefeed account — giving them access to your AI-curated Twitter/X feed, signals, semantic search, and post creation studio.
Feed — Read your AI-ranked Twitter/X feed with signal relevance scores
Signals — Create, manage, and query AI signals that auto-detect topics in your feed
Search — Semantic (vector) search across all your saved tweets
Studio — Generate, humanize, publish, schedule, and queue posts via Typefully
Folders — Browse your bookmark folders and saved tweets
Related MCP server: TwitterAPI.io MCP Server
Go to purefeed.ai/profile and create a Public API Key
Install using the instructions for your platform below
# Install the skill from ClawHub
clawhub install purefeed
# Configure the MCP server
openclaw config set mcpServers.purefeed.command "npx"
openclaw config set mcpServers.purefeed.args '[ "-y", "@purefeed/mcp-server" ]'
openclaw config set mcpServers.purefeed.env.PUREFEED_API_KEY "your-api-key"Add to your claude_desktop_config.json:
{
"mcpServers": {
"purefeed": {
"command": "npx",
"args": ["-y", "@purefeed/mcp-server"],
"env": {
"PUREFEED_API_KEY": "your-api-key"
}
}
}
}claude mcp add purefeed -- npx -y @purefeed/mcp-server \
--env PUREFEED_API_KEY=your-api-keyAdd to your .cursor/mcp.json:
{
"mcpServers": {
"purefeed": {
"command": "npx",
"args": ["-y", "@purefeed/mcp-server"],
"env": {
"PUREFEED_API_KEY": "your-api-key"
}
}
}
}Tool | Description | Key Parameters |
| Get your user profile and verify the API key | — |
| Retrieve your AI-ranked tweet feed |
|
| Get AI signal analysis for specific tweets |
|
| List your bookmark folders | — |
| Get tweets saved in a folder |
|
| List all your AI signal configurations | — |
| Create a new AI signal |
|
| Get details of a specific signal |
|
| Update signal name or description |
|
| Permanently delete a signal |
|
| Get tweets that triggered a signal |
|
| List available writing styles | — |
| Semantic search across saved tweets |
|
| Generate a post using AI and reference tweets |
|
| Score a post for AI-likeness and rewrite if needed |
|
| Publish a post to X/Twitter immediately |
|
| Schedule a post for a specific time |
|
| Save a post as a draft in Typefully |
|
| Add a post to the next queue slot |
|
The server exposes these MCP resources for ambient context:
Resource | URI | Description |
Signals |
| Your AI signal configurations with IDs |
Styles |
| Available writing styles with IDs |
Profile |
| Your Purefeed user profile |
Folders |
| Your bookmark folders with IDs |
Prompt | Description |
| Analyze your feed for key themes, notable tweets, and signal matches |
| Find interesting content and draft a post (optionally about a specific topic) |
| Get a summary of what each AI signal detected recently |
Environment Variable | Required | Default | Description |
| Yes | — | Your Purefeed API key from purefeed.ai/profile |
| No |
| API base URL (for self-hosted or development) |
Test the server locally with the MCP Inspector:
npx @modelcontextprotocol/inspector npx -y @purefeed/mcp-serverSet the PUREFEED_API_KEY environment variable in the Inspector UI, then test individual tools.
MIT
This server cannot be deployed
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