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Greb Mcp

GREB MCP Server Semantic code search for AI agents without indexing your codebase or storing any data. Fast and accurate. Available on npm (cheetah-greb) and PyPI (cheetah-greb). FEATURES - Natural Language Search: Describe what you're looking for in plain English - High-Precision Results: Smart ranking returns the most relevant code first - Works with Any MCP Client: Claude Desktop, Cursor, Windsurf, Cline, Kiro, and more - No Indexing Required: Search any codebase instantly without setup - Fast: Results in under 5 seconds even for large repositories INSTALLATION Install Greb globally using pip or npm. Python: pip install cheetah-greb Node.js: npm install -g cheetah-greb GET YOUR API KEY 1. Go to Dashboard > API Keys at https://grebmcp.com/dashboard/api-keys 2. Click "Create API Key" 3. Copy the key (starts with grb_) CONFIGURATION Add to your MCP client config (Cursor, Windsurf, Claude Desktop, Kiro, etc.): Python installation: { "mcpServers": { "greb-mcp": { "command": "greb-mcp", "env": { "GREB_API_KEY": "grb_your_api_key_here" } } } } Node.js installation: { "mcpServers": { "greb-mcp": { "command": "greb-mcp-js", "env": { "GREB_API_KEY": "grb_your_api_key_here" } } } } CLAUDE CODE SETUP Mac/Linux (Python): claude mcp add --transport stdio greb-mcp --env GREB_API_KEY=grb_your_api_key_here -- greb-mcp Windows PowerShell (Python): claude mcp add greb-mcp greb-mcp --transport stdio --env "GREB_API_KEY=grb_your_api_key_here" Mac/Linux (Node.js): claude mcp add --transport stdio greb-mcp --env GREB_API_KEY=grb_your_api_key_here -- greb-mcp-js Windows PowerShell (Node.js): claude mcp add greb-mcp greb-mcp-js --transport stdio --env "GREB_API_KEY=grb_your_api_key_here" TOOL: code_search Search code using natural language queries powered by AI. Parameters: - query (string, required): Natural language search query - keywords (object, required): Search configuration - keywords.primary_terms (string array, required): High-level semantic terms (e.g., "authentication", "database") - keywords.code_patterns (string array, optional): Literal code patterns to grep for - keywords.file_patterns (string array, required): File extensions to search (e.g., ["*.ts", "*.js"]) - keywords.intent (string, required): Brief description of what you're looking for - directory (string, required): Full absolute path to directory to search Example: { "query": "find authentication middleware", "keywords": { "primary_terms": ["authentication", "middleware", "jwt"], "code_patterns": ["authenticate(", "isAuthenticated"], "file_patterns": ["*.js", "*.ts"], "intent": "find auth middleware implementation" }, "directory": "/Users/dev/my-project" } Response includes: - File paths - Line numbers - Relevance scores - Code content - Reasoning for each match USAGE EXAMPLES Ask your AI assistant to search code naturally: "Use greb mcp to find authentication middleware" "Use greb mcp to find all API endpoints" "Use greb mcp to look for database connection setup" "Use greb mcp to find where user validation happens" "Use greb mcp to search for error handling patterns" LINKS Website: https://grebmcp.com Documentation: https://grebmcp.com/docs Get API Key: https://grebmcp.com/dashboard/api-keys

MCP-MESSENGER

**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 )

FAQ

Frequently Asked Questions about MCP Server

1

What is MCP (Model Context Protocol)?

MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.

2

What is MCP Server?

MCP Server is a system that provides context, tools, and prompts to AI clients. It can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

3

How do MCP Server work?

MCP Server work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.

4

What can MCP Server provide?

MCP Server can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions). They control their own resources and maintain clear system boundaries for security.

5

How does Claude use MCP?

Claude can connect to MCP server to access external data sources and tools, enhancing its capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

6

Is MCP Server secure?

Yes, security is built into the MCP protocol. Server controls its own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.

7

What is mcp.so?

mcp.so is a community-driven platform that collects and organizes third-party MCP Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.

8

How can I submit my MCP Server to mcp.so?

You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.