Open-Source SDK (@ithena-one/mcp-governance)
A TypeScript library providing a robust governance pipeline and pluggable interfaces (Identity, Roles, Permissions, Credentials, Audit, Logging) to wrap your base MCP server.
Hey Product Hunt! 👋
Super excited to share the Ithena SDK (@ithena-one/mcp-governance) today!
We're seeing the Model Context Protocol (MCP) unlock amazing potential, letting AI models interact with everything from local filesystems and apps to complex enterprise systems. It's incredibly powerful!
But here's the challenge: moving those cool MCP integrations from a local setup to a secure, shared production or enterprise environment brings a whole new set of critical requirements. Suddenly, you need robust answers to:
Who is really making this request in a multi-user system? (AuthN)
Are they authorized to use this specific tool or access that sensitive data? (RBAC)
How do we securely manage and inject API keys for shared services without scattering secrets? (Credentials)
How do we get reliable audit logs for security monitoring and compliance? (Auditing)
Implementing this essential governance layer consistently across every MCP tool is complex, repetitive, and easy to get wrong.
That's why I built the Ithena SDK! It's an open-source (Apache-2.0) TypeScript library designed specifically to provide this missing enterprise-grade governance layer for your MCP servers.
Ithena gives you a pluggable pipeline to easily add Identity, RBAC, Credential Management, and Auditing capabilities, letting your team focus on building great MCP features, knowing the security and compliance aspects are handled consistently.
While you could use parts of it locally, its real power is unlocked when deploying MCP services where security, compliance, and observability are non-negotiable.
We also have a waitlist open for an optional Managed Platform if you want hosted, production-ready backends for these interfaces later.
Dive into the GitHub repo and docs to see how it works!
Curious to hear: How are you tackling security and governance when taking MCP tools beyond local experiments and into shared or production environments? What are the biggest hurdles you've faced?
Cheers!
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