Twitch-Streamer-Server
MCP ServerFreeSee setup blow. Enable AI agents to interact with Twitch streams by sending chat messages, managing polls and predictions, creating clips, analyzing chat activity, and moderating users. Automate stream title and category updates while leveraging intelligent user resolution and timeout duration sugge
Capabilities5 decomposed
automated chat message sending
Medium confidenceThis capability allows the AI agent to send messages in Twitch chat automatically using the Twitch API. It leverages the broadcaster's access token to authenticate and send messages, ensuring that the agent operates under the broadcaster's identity. The implementation uses a simple command structure to format messages and can respond to chat events in real-time, enhancing viewer engagement.
Utilizes the Twitch API's chat message endpoint with a focus on real-time event handling, allowing for dynamic interaction.
More responsive than traditional chatbots due to direct integration with Twitch's event-driven architecture.
poll and prediction management
Medium confidenceThis capability enables the AI agent to create and manage polls and predictions within Twitch streams. It interacts with the Twitch API to set up new polls, gather responses, and display results, all while maintaining user engagement. The implementation uses a structured approach to define poll parameters and manage state, ensuring that the polls are interactive and timely.
Integrates seamlessly with Twitch's polling system, allowing for real-time updates and results display during live streams.
Offers a more streamlined experience compared to manual poll setups, reducing the time needed to engage viewers.
clip creation automation
Medium confidenceThis capability allows the AI agent to create video clips from Twitch streams automatically. By utilizing the Twitch API's clip creation endpoint, it can generate clips based on predefined criteria such as highlights or viewer requests. The implementation includes a mechanism to specify clip duration and title, ensuring that clips are relevant and engaging.
Automates the clip creation process by integrating with Twitch's API, allowing for dynamic highlight generation based on stream activity.
Faster than manual clipping methods, enabling real-time content generation without interrupting the stream.
chat activity analysis
Medium confidenceThis capability provides insights into chat activity during Twitch streams by analyzing message frequency, user engagement, and sentiment. It utilizes natural language processing techniques to assess chat messages and generate reports that help streamers understand viewer behavior. The implementation includes data aggregation and visualization components to present findings in an accessible format.
Employs advanced NLP techniques to provide deeper insights into viewer sentiment and engagement trends within Twitch chat.
More comprehensive than basic chat logs, offering actionable insights that can inform content strategy.
user moderation automation
Medium confidenceThis capability automates user moderation tasks on Twitch by leveraging the Twitch API to manage user permissions, timeouts, and bans. It uses predefined rules and AI-driven suggestions to determine appropriate actions based on user behavior in chat. The implementation includes a feedback loop that learns from moderation outcomes to improve future decisions.
Incorporates AI-driven suggestions for moderation actions, allowing for more nuanced and context-aware user management.
More adaptive than traditional moderation bots, learning from past interactions to improve effectiveness.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Twitch streamers looking to enhance viewer interaction
- ✓Twitch streamers wanting to engage their audience with interactive content
- ✓Twitch streamers looking to generate content for social media
- ✓Twitch streamers wanting to improve viewer engagement
- ✓Twitch streamers looking to maintain a positive chat environment
Known Limitations
- ⚠Requires constant internet connection; rate limits apply based on Twitch API guidelines.
- ⚠Limited to the number of polls allowed by Twitch API; requires user interaction for results.
- ⚠Clips are subject to Twitch's duration limits; requires viewer engagement to identify highlights.
- ⚠Analysis is limited to the duration of the stream; requires a significant amount of chat data for accurate insights.
- ⚠Requires careful tuning of moderation rules; may not always accurately assess user behavior.
Requirements
Input / Output
UnfragileRank
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Repository Details
About
See setup blow. Enable AI agents to interact with Twitch streams by sending chat messages, managing polls and predictions, creating clips, analyzing chat activity, and moderating users. Automate stream title and category updates while leveraging intelligent user resolution and timeout duration suggestions for effective moderation. Simplify Twitch stream management and enhance viewer engagement through standardized AI tools. Twitch MCP — Quick Setup Checklist 1. Generate token: https://twitchtokengenerator.com ✅ Choose Custom Scope Token → scroll to bottom → select scopes (tip: “Select All,” then deselect any you don’t want). ✅ Keep the tab open — you’ll need the Access Token and Client ID in step 3. ------------------------------- 2. Get (Twitch) Broadcaster ID: https://streamweasels.com/tools/convert-twitch-username-to-user-id/ ✅ Enter your Twitch username to get your numeric Broadcaster (Twitch) ID. ✅ Keep the tab open for step 3. ------------------------------- 3. Configure Smithery: https://smithery.ai/server/@Eclipse-XV/twitch-mcp-smithery ✅ In the right-hand box, paste in: Channel Name → Client ID → Access (Auth) Token → Broadcaster ID ------------------------------- 4. Install & Setup Cursor (free Desktop plan): https://cursor.com/home?from=agents ✅ In Cursor, set Agent Mode = Auto (right panel). You'll want to click the Agent Dropdown and edit model choice to Auto. (Optional) Turn on Auto-Run Mode to skip per-request approvals. ✅ On Smithery, click One-click Add to Cursor → Approve. ------------------------------- 5. Test by sending messages or creating polls. ✅ Actions run as your broadcaster account — keep your token private. If compromised or unsure, regenerate the token.
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