Sandbox
13 repos for modelcontextprotocol · SecurityClear
modelcontextprotocol/
go-sdk

The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google.

5.1k
blurrah/
mcp-graphql

Model Context Protocol server for GraphQL

407

A command-line interface for interacting with MCP (Model Context Protocol) servers using both stdio and HTTP transport.

1.6k

Security scanner for AI agents, MCP servers and agent skills.

3k
wowinter13/
solscan-mcp

An MCP server for querying Solana transactions using natural language with Solscan API

47

Connect any AI model to 1200+ integrations (MCP, CLI, API)

3.4k

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

12k

AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.

12k

Enterprise Governance Layer (Identity, RBAC, Credentials, Auditing, Logging, Tracing) for the Model Context Protocol SDK

39
MCPJam/
inspector

Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.

2.2k
Kymo-MCP/
mcpcan

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

727
alexei-led/
k8s-mcp-server

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

213
microsoft/
mcp-for-beginners
microsoft/mcp-for-beginnersTutorials & Guides

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

17k