Twitch-Streamer-Server
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- container
- Category
- ai-ml
- Source
- Smithery
- Repository
- github.com/Eclipse-XV/twitch-mcp-smithery
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Twitch-Streamer-Server from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.