django-mcp-inspector is an open-source Python package that provides an MCP server to expose Django runtime information to AI agents. Below are 9 frameworks & sdks apps with similar functionality to django-mcp-inspector, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Exposes /.well-known/mcp-server on Django projects for MCP agent discovery. Implements draft-serra-mcp-discovery-uri.
mcp-agent-tester is an open-source tool for inspecting, testing, and running MCP servers and agents. It provides both a web UI and CLI, supports JSON trace export, and is designed for developers working with Model Context Protocol agents and infrastructure.
agent-audit-logger-mcp is an open-source Python package for generating tamper-evident, hash-chained audit logs for agent-to-agent calls. It supports MCP, HMAC signing, and compliance with EU AI Act and DORA requirements, making it suitable for regulated AI systems.
kubernetes-mcp is a CLI tool that provides an MCP server for exposing Kubernetes cluster operations to AI assistants. It enables automation and management of Kubernetes environments through AI-driven workflows.
mcp-coder is an open-source CLI toolkit that leverages AI (Claude Code) and MCP servers to automate code analysis, testing, and implementation workflows. It is designed for developers seeking to streamline and enhance their software development processes with intelligent automation.
eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.
django-mcp-sql is an open-source package that provides a secure, read-only PostgreSQL interface for LLM agents using the MCP protocol. It features defense-in-depth security and OAuth integration, making it suitable for developers building agent-based data access solutions.
MCPfinder is an open-source tool that helps AI agents discover and configure Model Context Protocol (MCP) servers. It inspects trust signals, manages environment variables, and generates install-ready configurations, streamlining integration for developers building AI agents that interact with external tools and data sources.
vectra-ai-mcp-server is an open-source MCP server that exposes security detection, investigation, and response tools to AI assistants. It enables integration with AI-driven workflows for security automation and is suitable for security engineers and AI developers.
