Switchboard – One MCP Endpoint for all your tools (github.com)

Switchboard has launched as a source-available MCP (Multi-Client Protocol) gateway, designed to streamline connectivity for AI tools by consolidating access through a single endpoint. This framework allows users to run Switchboard locally with a user-friendly web UI, or utilize a hosted version for enhanced team features and secure private-data tunnels, which benefits organizations requiring controlled access to databases like Postgres or Kubernetes. Notably, Switchboard significantly reduces token usage—by about 90%—through data compaction strategies that filter out unnecessary fields from API responses before they reach the language model, allowing for more efficient interactions. The introduction of Switchboard is pivotal for the AI/ML ecosystem as it provides seamless integrations with popular platforms such as GitHub, Google Workspace, and Slack, enabling developers to harness the capabilities of multiple tools simultaneously. The system's architecture is designed to support any MCP client, including Cursor, Claude Code, and Codex, while allowing customization through the Go integration interface or Wasm plugins. This unified platform not only enhances the LLM context management but also improves the efficiency of AI operations, making it a crucial asset for teams looking to maximize their productivity and minimize resource expenditure on repetitive API calls.