A proxy server that wraps existing MCP servers to significantly reduce token consumption by compressing tool descriptions into a two-step interface. It enables users to integrate extensive toolsets without exceeding context limits or incurring high API costs.
An open-source, vendor-agnostic MCP governance proxy that sits between AI clients and tool servers to apply response projection, metering, and retry policies, reducing token bloat and providing per-tool cost visibility.
A token-efficient MCP server that reduces context window bloat by lazy loading tool descriptions and proxying calls through three simple tools, with a dashboard for managing connections.
An MCP server that enables Claude to manage infrastructure across Kubernetes, Docker, Prometheus, and Terraform through natural language. It provides over 42 specialized tools with a safety-first design, including risk-based command classification and audit logging.
An MCP server that bridges AI assistants to other CLI tools, enabling capabilities like large-context reads, vision, file generation, and cross-vendor verification without API keys.
A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
