Mcp Local Rag
what is Mcp Local Rag?
Mcp Local Rag is a primitive RAG-like web search model context protocol (MCP) server that runs locally without the need for APIs. It allows users to submit queries to a language model and fetch real-time web information to enhance the model's responses.
how to use Mcp Local Rag?
To use Mcp Local Rag, you can either run it using Docker or Python with the uv framework. After setting it up, you can submit queries through a language model that triggers the MCP server to fetch relevant web data.
key features of Mcp Local Rag?
- Local execution without API dependencies
- Real-time web search capabilities
- Context extraction from web results to enhance language model outputs
use cases of Mcp Local Rag?
- Enhancing language models with up-to-date web information.
- Performing live searches for recent events or data.
- Integrating with AI chatbots to provide accurate and current responses.
FAQ from Mcp Local Rag?
- Can Mcp Local Rag be used without an internet connection?
No, it requires internet access to perform web searches.
- Is Mcp Local Rag easy to set up?
Yes, it can be set up using Docker or Python with straightforward configuration steps.
- What kind of queries can I submit?
You can submit any query that requires recent web information, such as news or updates on specific topics.
Server Config
{
"mcpServers": {
"mcp-local-rag": {
"command": "uvx",
"args": [
"--python=3.10",
"--from",
"git+https://github.com/nkapila6/mcp-local-rag",
"mcp-local-rag"
]
}
}
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