Setoku is a self-hosted, open-source MCP (Model Context Protocol) knowledge server designed for AI agents. It provides a secure, read-only interface to company data while maintaining contextual understanding of metrics, definitions, and nuances. It works with existing AI tools like Claude, requires no local model inference, and allows publishing live dashboards. The project is Apache-2.0 licensed with a public demo available.
Setoku sits in PulseGate's AI & ML category. It focuses on enabling AI agents to securely understand and query a company's internal data and metrics without running models locally or exposing sensitive information. It is built as an open-source project for developers and AI engineers. Setoku is open source under the Apache-2.0 license. Setoku is available on the web, the command line, and API, and it can be self-hosted.
Setoku builds and maintains Setoku, and it first shipped in 2026. Development happens publicly on GitHub with 246 commits in the last 90 days. Among its 6 catalogued features are MCP Server, Knowledge Retrieval, and Data Context. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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