MCP ServersMCP-MESSENGER
Created at 10 days ago
by Will Flynn
**SlashMCP** is a production-grade AI workspace that connects LLMs to real-world data and tools through an intuitive chat interface. Built on the Model Context Protocol (MCP), it enables seamless interaction with multiple AI providers (OpenAI, Claude, Gemini) while providing powerful capabilities for document analysis, financial data queries, web scraping, and multi-agent workflow orchestration. ### Key Features: - **Multi-LLM Support**: Switch between GPT-4, Claude, and Gemini at runtime—no restart needed - **Smart Command Autocomplete**: Type `/` to discover and execute MCP server commands instantly - **Document Intelligence**: Drag-and-drop documents with automatic OCR extraction and vision analysis - **Financial Data Integration**: Real-time stock quotes, charts, and prediction market data via Alpha Vantage and Polymarket - **Browser Automation**: Web scraping and navigation using Playwright MCP - **Multi-Agent Orchestration**: Intelligent routing with specialized agents for command discovery, tool execution, and response synthesis - **Dynamic MCP Registry**: Add and use any MCP server on the fly without code changes - **Voice Interaction**: Browser-based transcription and text-to-speech support ### Use Cases: - Research and analysis workflows - Document processing and extraction - Financial market monitoring - Web data collection and comparison - Multi-step task automation **Live Demo:** [ slashmcp.vercel.app ]( https://slashmcp.vercel.app ) **GitHub:** [ github.com/mcpmessenger/slashmcp ]( https://github.com/mcpmessenger/slashmcp ) **Website:** [ slashmcp.com](https://slashmcp.com )
Categories
Tags
MCP
Model Context Protocol
AI Workspace
Multi-LLM
OpenAI
Claude
Gemini
Document Intelligence
OCR
Financial Data
Stock Analysis
Web Scraping
Browser Automation
Playwright
Multi-Agent
Workflow Orchestration
Command Autocomplete
Research Assistant
AI Chat
LLM Tools
Supabase
TypeScript
React
What is MCP-Messenger?
MCP-Messenger is a production-grade AI workspace that connects large language models (LLMs) to real-world data and tools through an intuitive chat interface, enabling seamless interaction with multiple AI providers like OpenAI, Claude, and Gemini.
How to use MCP-Messenger?
Users can interact with the platform via a chat interface, utilizing commands to execute various tasks such as document analysis, financial data queries, and web scraping. Simply type commands or drag and drop documents for processing.
Key features of MCP-Messenger?
- Multi-LLM support for switching between AI models without restarting.
- Smart command autocomplete for quick command execution.
- Document intelligence with automatic OCR extraction.
- Real-time financial data integration.
- Browser automation for web scraping and navigation.
- Multi-agent orchestration for intelligent task management.
- Dynamic MCP registry for adding servers on the fly.
- Voice interaction capabilities.
Use cases of MCP-Messenger?
- Research and analysis workflows.
- Document processing and extraction.
- Financial market monitoring.
- Web data collection and comparison.
- Multi-step task automation.
FAQ from MCP-Messenger?
- Can I use multiple AI models at once?
Yes! MCP-Messenger allows you to switch between different AI models seamlessly.
- Is there a demo available?
Yes! You can try the live demo at slashmcp.vercel.app.
- How do I integrate financial data?
Financial data can be integrated in real-time using APIs from Alpha Vantage and Polymarket.
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