MCP Catalog
Browse 287 Model Context Protocol servers · GoClear
+9 more
MCP server for Amazon S3 and S3-compatible endpoints (LocalStack, MinIO). Single Go binary.
MCP server for CashPilot — monitor passive income, bandwidth sharing, and DePIN earnings
MCP server for Duplicacy — monitor backup status and Prometheus metrics
MCP server bridging GenieACS TR-069 ACS instances to LLMs for CPE device management
MCP server for LynxPrompt — browse, search, and manage AI configuration blueprints
MCP server for Pumperly — query fuel prices, find stations, and plan routes
MCP server exposing Spinnaker CD platform via Gate API for pipeline and deployment management
MCP server for Telegram Archive — search messages, browse chats, and access history
Sandboxed shell exec for MCP clients: run untrusted agent commands in a gVisor container.
Reliable, transparent terminal runtime between AI agents and the shell (local + SSH).
Fast polyglot source code intelligence: symbols, imports, dependencies, and impact analysis.
Wraps sigrok-cli for signal analysis: capture data, decode protocols, and query instruments.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Auto-download & launch https://github.com/LinuxSuRen/atest-mcp-server
Build native Linux packages (.deb/.rpm/.apk/.pkg.tar.zst) from a single PKGBUILD via MCP.
Execute code in 8 languages (Python, JS, TS, Go, Java, C++, C, Bash) in gVisor sandboxes.
Door-to-door travel MCP + CLI: flights, hotels, trains, cars, ferries. No API keys, Go binary.
Authenticated email gateway for AI agents — per-agent inboxes, HITL approval, SPF/DKIM verified.
Linux MCP server for real-time system monitoring - CPU, memory, disk, network, processes, Docker.
MCP server for Talos Linux — resources, services, logs, health, config, lifecycle via gRPC.
Read and write a self-hosted TriliumNext knowledge base over its ETAPI.
Safety-gated AI control of Docker and Colima: containers, images, volumes, networks, Compose.
Read-only MCP server for aggregate HitKeep analytics and official documentation.
Reddit reader for LLMs — full comment trees, 94% fewer tokens, one binary