KeplerOps/insight
If you are the rightful owner of insight and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Insight MCP Server is a Model Context Protocol server that automates software development and provides development assistance through integration with large language models (LLMs).
Insight MCP Server is designed to streamline software development processes by leveraging the power of large language models (LLMs) such as OpenAI's GPT-4 and Anthropic's Claude. It offers a flexible and configurable environment that supports various LLM providers, allowing developers to automate workflows and enhance productivity. The server is built using Python 3.12+ and integrates with the MCP SDK for robust server implementation, while LangChain is used for seamless LLM integration. The server's behavior can be customized through environment variables, making it adaptable to different development needs and environments.
Features
- Flexible LLM provider support (OpenAI GPT-4 and Anthropic Claude)
- Workflow automation through MCP tools
- Environment-based configuration
- Built with Python 3.12+
- Integration with LangChain for LLM support
Usages
usage with local integration stdio
python mcp.run(transport='stdio') # Tools defined via @mcp.tool() decorator
usage with local integration ide plugin
{
"mcpServers": {
"insight": {
"command": "python",
"args": ["-m", "insight"]
}
}
}usage with remote integration sse
python mcp.run(transport='sse', host="0.0.0.0", port=8000) # Specify SSE endpoint
usage with remote integration streamable http
yaml
paths:
/mcp:
post:
x-ms-agentic-protocol: mcp-streamable-1.0 # Copilot Studio integrationusage with platform integration github
{"command": "docker", "args": ["run", "-e", "GITHUB_PERSONAL_ACCESS_TOKEN", "ghcr.io/github/github-mcp-server"]}usage with platform integration copilot studio
yaml
paths:
/mcp:
post:
x-ms-agentic-protocol: mcp-streamable-1.0 # Copilot Studio integration
