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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.

Connects AI assistants to Facebook's Ads API to enable natural language queries for campaign data, insights, and performance metrics. It allows users to manage ad accounts and retrieve detailed analytics like impressions, clicks, and spend through MCP-compatible interfaces.

Enables PDF generation from URLs or HTML strings through the Yakpdf API, allowing users to convert web content into PDF documents.

MemProcFS-mcp-server provides a bridge between AI assistants and memory forensics capabilities through the MemProcFS Python library. The server exposes tools for analyzing process attributes, registry hives, keys and values from memory dumps, making it valuable for digital forensics investigators who need to examine Windows memory images through natural language interaction. Built with FastMCP, it features robust error handling and comprehensive documentation of available process and registry attributes.

Enables searching and downloading PornHub videos via MCP tools with stealth anti-detection and aria2 for robust downloading.

Enables AI assistants to search, create, update, and manage work items in Azure DevOps using natural language.

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Delve MCP server provides a complete interface to the Delve debugger for Go programs through the Model Context Protocol. It implements all major debugging capabilities including starting debug sessions, setting breakpoints, controlling execution flow, and inspecting program state. The server exposes Delve's functionality as discoverable tools that can be executed by AI assistants, supporting various debug modes (debug, attach, exec, test), core dump analysis, and program tracing. Built with TypeScript using the MCP SDK, it requires Go with Delve installed and optionally Mozilla rr for replay debugging.

MCP server enabling agents to debug HTTP requests better (using powhttp)

Enables task management through natural language: create tasks, list and filter them, and update their status. It uses SQLite for persistence and supports both local stdio and remote SSE transports.

Enables AI agents to understand, query, and manipulate Honeybee building energy models through natural language via the Model Context Protocol.

An MCP server that provides an antidetect browser with persistent profiles, proxy support, and page control tools (16 tools) for agents, enabling identity-stable browsing sessions across runs.

This MCP server provides read-only access to OKX cryptocurrency exchange account data through five specialized tools for portfolio management and trading analytics, built by Max Barinov using TypeScript with the xmcp framework and okx-api client library. The implementation offers secure API integration requiring OKX credentials to retrieve account portfolios with USDT valuations, open orders, order history with date filtering, derivative positions, and aggregated account summaries including asset allocation breakdowns. Designed for traders and portfolio managers who need programmatic access to their OKX trading data for analysis, reporting, and integration with AI assistants for cryptocurrency portfolio monitoring and trading decision support.

Exposes Futurepedia AI tool crawling and universal web page parsing as MCP tools for assistants.

Slack MCP Server — send messages, manage channels, search, react, upload files, and manage users via Slack Web API, tailored for ADK-Rust Enterprise.

BookBrainz MCP — open book metadata (MetaBrainz / sister of MusicBrainz)

A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.

Provides an MCP server exposing compute, verify, and plot tools backed by Giac/Xcas for exact symbolic and numerical mathematics, enabling LLMs to solve calculus, algebra, geometry, and more with verified results.

Enables AI assistants to answer questions about Finnish social benefits (Kela) by providing tools for searching, checking eligibility, and getting application steps.

An MCP server demo for retrieving Market information