What is the Documentation MCP Server?

The TelemetryOS Documentation MCP Server provides read-only, programmatic access to TelemetryOS documentation through the Model Context Protocol (MCP). It is a public endpoint for AI coding tools that need grounded documentation context, and it does not require account authentication.

ℹ️

Documentation MCP is docs-only. It does not expose account data or perform account actions.

Documentation MCP vs. Platform MCP

The Documentation MCP and Platform MCP Server are complementary:

Use Documentation MCP to ground answers in docs. Use Platform MCP when an agent needs to take actions in an account.

Endpoint

Documentation MCP endpoint:

https://docs.telemetryos.com/mcp

The endpoint is public and anonymous. No Authorization header is required.

What it provides

• Documentation search across TelemetryOS docs content
• Structured retrieval of documentation pages for agent context
• Access to API reference material sourced from the TelemetryOS OpenAPI specification
• Reliable grounding for code examples and implementation guidance based on published docs

Connecting a Client

{
  "mcpServers": {
    "telemetryos-documentation": {
      "type": "http",
      "url": "https://docs.telemetryos.com/mcp"
    }
  }
}

No token or credentials are needed for this endpoint.

Verifying the Connection

After configuration, open a new chat in your client and test with prompts such as:

1. "How do I authenticate with the TelemetryOS API?"
2. "Show me the API reference for listing devices."
3. "Create a TypeScript example for uploading media with TelemetryOS."

Expected behavior:

• The agent answers using TelemetryOS documentation context retrieved through MCP.
• Responses should reference relevant TelemetryOS docs content.
• Account-changing requests should be redirected to the Platform MCP Server.

Relationship to Ask AI and LLMs.txt

TelemetryOS has three complementary AI surfaces: Ask AI is the on-site assistant for documentation readers, Documentation MCP is the integration surface for editor-based agents such as Claude Code and Codex, and LLMs.txt is the crawlable navigation index both systems can use to discover documentation structure.