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Insight MCP Server

by KeplerOps

Insight MCP Server is a Model Context Protocol server designed to automate software development and provide development assistance. It achieves this through integration with Large Language Models (LLMs).

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What is Insight MCP Server?

Insight MCP Server is a Model Context Protocol (MCP) server that leverages LLMs to provide software development automation and assistance.

How to use Insight MCP Server?

  1. Set up environment variables in .env (LLM_PROVIDER, LLM_MODEL). 2. Install dependencies using pip install .. 3. Run the server using python -m insight.

Key features of Insight MCP Server

  • Flexible LLM provider support (OpenAI GPT-4 and Anthropic Claude)

  • Workflow automation through MCP tools

  • Environment-based configuration

  • Built with Python 3.12+

  • Uses MCP SDK for server implementation

  • Integrates with LangChain for LLM interaction

Use cases of Insight MCP Server

  • Automated code generation

  • Intelligent code completion

  • Automated documentation generation

  • AI-powered debugging

FAQ from Insight MCP Server

What LLM providers are supported?

Currently, OpenAI GPT-4 and Anthropic Claude are supported.

How do I choose which LLM to use?

Set the LLM_PROVIDER environment variable to either 'openai' or 'anthropic'.

What models are supported for each provider?

For OpenAI, gpt-4o is the default. For Anthropic, claude-3-5-sonnet is the default. You can specify a different model using the LLM_MODEL environment variable.

What is MCP?

MCP stands for Model Context Protocol. It is used for workflow automation.

What is LangChain used for?

LangChain is used for integrating with the Large Language Models (LLMs).