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AI-Agent Ready: Kiln Connect Launches llms.txt & MCP Server

June 1, 2026
AI-Agent Ready: Kiln Connect Launches llms.txt & MCP Server< Blog
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Posted by
Ernest O.
Ernest O.

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As AI agents become a core part of how institutional teams manage digital asset infrastructure, we've been thinking carefully about what it means for Kiln Connect to be truly AI-native. Today, we're sharing an early but meaningful step in that direction: Kiln now offers a public llms.txt file and a public MCP server, both available directly from docs.api.kiln.fi.

What this means

The rise of large language models and autonomous AI agents is changing how developers and institutions interact with APIs. Rather than only relying on human-readable documentation, modern AI tools need structured, machine-optimized representations of your product's capabilities.

We've shipped two resources to address this:

llms.txt (docs.api.kiln.fi/llms.txt) is a standardized file that gives LLMs a clean, concise summary of what Kiln Connect does and how to interact with it. Think of it as a machine-readable front door to our API — helping any AI agent quickly understand what Kiln offers, without having to parse through full documentation pages.

MCP Server (docs.api.kiln.fi/mcp) implements the Model Context Protocol, an open standard that lets AI agents interact with external services in a structured, reliable way. With our MCP server, developers building AI agents can integrate Kiln Connect directly into their agentic workflows — enabling automated staking operations, reward tracking, validator management, and more.

Who is this for?

If you or your team are building AI agents that need to interact with staking infrastructure, these resources are for you. Whether you're integrating Kiln Connect into a workflow automation, a conversational interface, or a fully autonomous agent stack, both resources are ready to use today.

We've already had clients ask about this. Now you have something concrete to point them to.

What's next

This is a first version. We're actively investing in our AI tooling capabilities through a dedicated project to go deeper on MCP integrations, agent-ready skills, and broader LLM compatibility. 

In the meantime, we'd love to hear from teams already experimenting in this space. Reach out to your account contact or drop us a line at contact@kiln.fi

Further reading:

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