iflow-mcp_vectara_vectara-mcp

# Vectara MCP Server     > 🔌 **Compatible with [Claude Desktop](https://claude.ai/desktop), and any other MCP Client!** > > Vectara MCP is also compatible with any MCP client > The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections. Vectara-MCP provides any agentic application with access to fast, reliable RAG with reduced hallucination, powered by Vectara's Trusted RAG platform, through the MCP protocol. ## Installation You can install the package directly from PyPI: ```bash pip install vectara-mcp ``` ## Quick Start ### Secure by Default (HTTP/SSE with Authentication) ```bash # Start server with secure HTTP transport (DEFAULT) python -m vectara_mcp # Server running at http://127.0.0.1:8000 with authentication enabled ``` ### Local Development Mode (STDIO) ```bash # For Claude Desktop or local development (less secure) python -m vectara_mcp --stdio # ⚠️ Warning: STDIO transport is less secure. Use only for local development. ``` ### Configuration Options ```bash # Custom host and port python -m vectara_mcp --host 0.0.0.0 --port 8080 # SSE transport mode python -m vectara_mcp --transport sse --path /sse # Disable authentication (DANGEROUS - dev only) python -m vectara_mcp --no-auth ``` ## Transport Modes ### HTTP Transport (Default - Recommended) - **Security:** Built-in authentication via bearer tokens - **Encryption:** HTTPS ready - **Rate Limiting:** 100 requests/minute by default - **CORS Protection:** Configurable origin validation - **Use Case:** Production deployments, cloud environments ### SSE Transport - **Streaming:** Server-Sent Events for r…