Alternatives to isaacphi/mcp-language-server

🏎️ 🏠 - Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring, and pod log streaming

Beelzebub is an open-source deception framework (a honeypot framework) for deploying decoy services and capturing attacker interactions as security evidence. Services, routes, and response rules are defined in YAML with static handlers or LLM-powered responses across SSH, HTTP, TCP, TELNET, and MCP protocols; events can be inspected in local logs, published to RabbitMQ, or reported to Beelzebub Platform, with Prometheus metrics for monitoring.

🏎️ 🏠 A - powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for **any** Kubernetes resource, this server provides specialized tools to interact w

🏎️ ☁️/🏠 - Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. S

🏎️ ☁️/🏠 - Kubernetes cluster operations through MCP

🎖️ 🏎️ 🏠 - Provides comprehensive integration with your and for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances

Foxy Contexts is a Go library for building MCP servers declaratively: developers define tools, resources, and prompts and register them with an app builder that uses uber/fx dependency injection under the hood. It implements the server side of the protocol with stdio, SSE, and streamable HTTP transports, and ships a foxytest package for functional testing.

🏎️ 🏠 - A MCP server for interacting with and benefit from advanced Go code analysis features.

🎖️ 🏎️ 🏠 - Provides comprehensive integration with your and for working with logs, investigating and debugging tasks related to your VictoriaLogs instances.

🏎️ ☁️ Tools to the query and execute of Dify workflows

Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster

A curated, community-maintained list of Model Context Protocol (MCP) servers, organized by category, with sections for MCP clients, tutorials, and community resources. The repository is a directory of production-ready and experimental servers that extend AI capabilities through file access, database connections, and API integrations; it is a list, not a runnable MCP server itself.