TikRSS MCP Server
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., "@TikRSS MCP Serverwhat did Karpathy say about test-time compute in his latest video?"
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.
TikRSS CLI & Official Model Context Protocol (MCP) Server
The official command-line interface (CLI) and Model Context Protocol (MCP) Server for TikRSS — the high-signal daily briefing engine that distills hours of video & podcast content from creators you actually trust into actionable intelligence.
This unified package connects your local developer environment and frontier AI models (Claude Desktop, Cursor, Windsurf, and Google Antigravity) directly to your synthesized TikRSS knowledge streams.
✨ Features
🤖 Native AI Agent MCP Server: Zero-setup integration with Claude Desktop and Cursor. Let your AI agents autonomously query creator briefings, search cross-video arguments, and fetch clean transcripts.
⚡ Developer Terminal CLI: Read your daily video distillation stream right in your terminal with beautiful ANSI formatting, or export as clean Markdown to your local Obsidian vault.
🎯 1-Click Fast Ingestion: Subscribe to YouTube channels (
@handle), TikTok creators, or podcast feeds with a single command.🔍 Semantic Claims Search: Search across thousands of synthesized arguments and citations without watching 3-hour long podcasts.
🛡️ Built for Power Tier: Full access to dedicated priority Whisper ASR transcription pipelines and unlimited creators.
Related MCP server: OmniContext
🚀 Quick Start (CLI)
1. Install & Login
You can install globally or run via npx:
# Install globally
npm install -g tikrss
# Or run directly with npx
npx -y tikrss whoamiConfigure your TikRSS API Key (obtainable from your TikRSS Account Settings):
tikrss login tr_live_your_api_key_hereYour credentials are securely saved in ~/.config/tikrss/config.json with strict 0600 permissions. You can also supply the key via the TIKRSS_API_KEY environment variable.
2. Common CLI Commands
Fetch Today's Briefing
# Formatted terminal card output
tikrss today
# Export as clean Markdown
tikrss today --format markdown
# Raw JSON output for shell pipelines / jq
tikrss today --format jsonSubscribe a Creator or Channel
tikrss add https://www.youtube.com/@karpathy
tikrss add https://www.youtube.com/@lexfridmanSearch Claims & Topics
tikrss search "test-time compute scaling"Export Video Distillation to Obsidian / Local Markdown
tikrss export karpathy-cot-2026 --out ~/Documents/ObsidianVault/Briefings🤖 Model Context Protocol (MCP) Integration
TikRSS provides a native, compliant MCP Server over stdio. It connects your AI agents directly to your video digest archive.
1. Claude Desktop Setup
Open your Claude Desktop configuration file:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Add the tikrss server:
{
"mcpServers": {
"tikrss": {
"command": "npx",
"args": ["-y", "tikrss", "mcp"],
"env": {
"TIKRSS_API_KEY": "tr_live_••••••••"
}
}
}
}Restart Claude Desktop. You will see the hammer icon with 5 TikRSS tools enabled!
2. Cursor Setup
Open Cursor Settings > Features > MCP.
Click + Add New MCP Server.
Fill in:
Name:
tikrssType:
commandCommand:
npx -y tikrss mcpEnvironment Variables:
TIKRSS_API_KEY=tr_live_••••••••
🛠️ MCP Tools Reference
When connected via MCP, your AI assistant gains access to the following 5 tools:
Tool | Parameters | Description |
|
| Retrieves today's synthesized briefings from your subscribed creators. |
|
| Reads full distillation (Executive Summary, Why It Matters, core claims, quotes, and research papers). |
|
| Semantic search across all video briefings, arguments, and topics in your archive. |
|
| Autonomously subscribes a creator URL to your daily morning briefing pipeline. |
|
| Retrieves cleaned full-text transcript with commercial sponsors and fluff stripped out. |
💬 Example Prompts for AI Agents
Once configured, simply chat naturally in Claude or Cursor:
"What did Andrej Karpathy and Lex Fridman say about test-time compute in their latest videos?" (Claude automatically calls
tikrss_search_claims)"Give me today's TikRSS morning briefing and draft a 3-bullet summary for our team." (Claude automatically calls
tikrss_today)"Subscribe this YouTube channel:
https://www.youtube.com/@hubermanlabto my daily TikRSS digests." (Claude automatically callstikrss_subscribe)
⚙️ Environment Variables
Variable | Description | Default |
| Your TikRSS API Key (starts with | None |
| Self-hosted or custom TikRSS API endpoint |
|
| Custom directory for config file |
|
🔒 Security & Privacy
Minimal Permissions: The MCP Server runs strictly in stdio mode and only communicates with the official TikRSS HTTPS API endpoint.
Safe Token Storage: Local config files are written with POSIX file permissions
0600(readable only by the current user).No Telemetry: No third-party trackers, analytics, or background telemetry.
📄 License
MIT License © 2026 TikRSS Team
This server cannot be deployed
Maintenance
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