"Self-hosted MCP server on Proxmox LXC container accessible remotely from AI clients" matching MCP servers:

Local, zero-token event triggers for Claude Code, Codex, OpenCode and ZCode: when CI fails, a training run finishes, a service goes down or NVDA crosses your price, your agent wakes up in your conversation—even if closed.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Enables AI agents to control a browser with self-healing locators that automatically recover when selectors change, allowing reliable web automation through natural language.

Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Enables Claude Code, Cursor, and Codex users to orchestrate plan/build/review workflows across host or CLI models with a spec gate, tool vetting, hard per-run and per-day cost/token limits, safe defaults, and clear logs.

Self-hosted AI orchestrator that monitors and manages homelab services, exposing them as MCP tools for LLMs to drive.

Enables real-time user intervention for MCP agents through a web UI, allowing users to review context and provide feedback when AI agents drift from intent, keeping them on track.

Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)

Enables terminal AI coding assistants to interact with web AI chat services through browser automation, supporting multiple platforms like Doubao and ChatGPT.

Enables a host AI agent to trigger a multi-agent debate, running N-rounds where agents critique each other's answers, then synthesizes a consensus recommendation with ranked options.

Lets separate coding-agent sessions coordinate through a shared, role-addressed mailbox instead of a human relaying every message, over a single local SQLite file or a hosted server with many isolated channels. Messages can be sent as tracked obligations that stay open until one side resolves and the other confirms, alongside threads, full-text search, work statuses, and an append-only versioned pin system where protected changes require recorded agreement from every declared role.

Enables AI coding agents from any vendor to resume a task from the exact stopping point without model calls, re-reading old sessions, or re-exploring the code, by merging host hooks, agent checkpoints, and Git deltas into one compact brief. It also guards credits outside the model with a prompt clarity gate, a loop guard, and configurable token profiles.

Turns Claude Code into a self-driving AI company with autonomous CEO, agent teams, and self-improvement capabilities.

Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.

MCP server that provides browser automation capabilities through a Chrome extension, enabling terminal-based agents to interact with any website via a live browser session with optimized context.

Enables self-hosted AI gateway and agent control plane with governed MCP tools, virtual-key budgets, caching, and audit, supporting OpenAI, Anthropic, Gemini, MCP, and A2A protocols. It provides deterministic prompt enhancement and governed execution with a zero-credential first run.

Exposes tools for managing persona states and standing-order guards while providing current project profile slices and concise memory notes from project-local SQLite.

Hosted open-source AI apps callable by agents over MCP, enabling multi-model comparisons with real metered costs and skills like PDF translation, deep research, slide generation, and direct model queries.

Privacy-first local MCP hub for coordinating multiple AI providers from Claude Code, supporting local Ollama seats and cloud providers with safety routing.

Enables MCP hosts to spawn, send input to, wait for, resume, and close provider-backed child agent sessions across Codex, Claude, and Grok adapters with configurable role presets, though it is experimental and not production-ready.

Enables Claude Desktop or Claude Code to ask ChatGPT and use shared task-board and file tools, with approvals handled through the desktop app or a command-line helper.

Enables multi-strategy AI orchestration including council decision review, debate, brainstorming, evaluation, and spec review, with support for multiple LLM providers and advisor personas.

Enables MCP clients to run deterministic, zero-dependency recursive self-critique and reflection loops over a payload and optional options, iteratively evaluating and revising agent output to autonomously repair logic defects, test failures, and hallucinations. Supports direct JSON-RPC stdio integration into MCP-compliant clients such as Claude Desktop and Cursor.

Enables intelligent Kubernetes deployments, automated documentation testing, organizational pattern management, and shared prompt libraries. Provides AI-powered recommendations based on cluster capabilities and automates DevOps workflows through conversational interfaces.

Enables users to connect and run Stack AI workflows directly through MCP-compatible clients. It allows for passing user inputs to specific projects and receiving structured responses from deployed AI applications.

Enables creation and deployment of AI agents through natural language by providing tools for agent specification, smart component integration from 500+ ready-to-use components, and one-click deployment with intelligent auto-configuration.

Enables MCP-capable AI coding tools to dispatch tasks in parallel to multiple installed AI CLIs with automatic failover, plus run multi-AI discussions and cross-reviews, hand code off between tools, manage shared workspaces, and inspect token usage, traffic, clients, and task memory. Also exposes image recognition (OCR/vision), tool and client administration, and log access through a single local hub.

A LAN multi-AI collaborative development ecosystem connecting tools like Cursor, Windsurf, and Claude Desktop via MCP for automated Dev-QA-Ops workflows.