Void MCP Server

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Basic information

About Void MCP Server

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Void MCP Server config

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Void MCP Server tools

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Overview

What is Void MCP Server?

Void MCP Server is a Model Context Protocol (MCP) server for managing LLM context data. It includes a utility run_local.py that can launch a local Hugging Face model and a Streamlit interface.

How to use Void MCP Server?

Install dependencies (npm install for Node, pip install -r requirements.txt for Python), then build with npm run build. Use python run_local.py --model sshleifer/tiny-gpt2 --port 8000 to run a local model, or streamlit run app.py for the Streamlit UI.

Key features of Void MCP Server

MCP server for managing LLM context data
Local Hugging Face model launch via run_local.py
Streamlit UI for interaction
Supports Node and Python development
Tests available via npm test and pytest

Use cases of Void MCP Server

Running a local LLM for context management experiments
Prototyping MCP-based context-aware applications
Testing and debugging MCP server implementations

Frequently asked questions

What does Void MCP Server do?

It provides a Model Context Protocol (MCP) server for managing LLM context data, plus a utility to launch a local Hugging Face model and a Streamlit interface.

What are the dependencies?

Node (for the MCP server) and Python (for the local model and Streamlit UI). Install them via `npm install` and `pip install -r requirements.txt`.

How do I run the local model?

Run `python run_local.py --model sshleifer/tiny-gpt2 --port 8000` to launch a local Hugging Face model on port 8000.

How do I start the Streamlit interface?

Use the command `streamlit run app.py` in the project root directory.

How can I test the server?

Node tests: `npm test`. Python tests: `pytest`.

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