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Documentation Index

Fetch the complete documentation index at: https://docs.mcpmanager.ai/llms.txt

Use this file to discover all available pages before exploring further.

Most documentation is written for people. MCP Manager’s documentation is also built to be read by AI agents — every page is published in machine-readable form and as a live MCP server, so the coding agents your developers already use can answer questions like “does MCP Manager offer PII redaction?” or “how do I set up SCIM provisioning?” straight from the current docs.

What MCP Manager publishes for AI

SurfaceWhereWhat it is for
Docs MCP serverhttps://mcpmanagerbyusercentrics.mintlify.app/mcpA remote MCP endpoint your agent queries to search and read the live docs in context.
Agent skillhttps://mcpmanagerbyusercentrics.mintlify.app/skill.mdAn operating manual that teaches an agent how to drive MCP Manager correctly.
llms.txthttps://mcpmanagerbyusercentrics.mintlify.app/llms.txtA structured index of every page, so an agent can discover what exists.
llms-full.txthttps://mcpmanagerbyusercentrics.mintlify.app/llms-full.txtThe entire documentation corpus in one file, for bulk ingestion.
Per-page Markdownappend .md to any page URLThe raw Markdown of a single page — for example /features/gateway-rules/overview.md.
Discovery documenthttps://mcpmanagerbyusercentrics.mintlify.app/.well-known/mcpLets agents locate the MCP server automatically, with no manual configuration.
The two surfaces that matter most are the docs MCP server — so an agent can read the docs live — and the agent skill — so an agent knows how to act on them. Both are covered below. The property they all share is that they are regenerated on every publish, so an agent reading them always sees the platform’s current behavior rather than a stale copy.
An MCP server for managing your MCP Manager workspace is also in development.

The docs MCP server

The docs MCP server at https://mcpmanagerbyusercentrics.mintlify.app/mcp is a standard remote MCP endpoint. Point any MCP-capable agent at it and the agent can read these docs in context while it works. It exposes:
  • Search — finds relevant content across the site and returns snippets with titles and links, so the agent can locate the right page from a natural-language question.
  • Query docs filesystem — navigates the docs as a virtual filesystem with shell-style commands (list, read, and search files), so the agent can read a specific page or grep across many, including the API reference.
  • The agent skillskill.md is exposed as a resource the agent can discover and load.

Connect your coding agent to the docs

Add the docs MCP server URL to whatever agent runtime your team uses. The endpoint is https://mcpmanagerbyusercentrics.mintlify.app/mcp, it speaks streamable HTTP, and the public docs need no key.
Run one command:
terminal
claude mcp add --transport http mcp-manager-docs https://mcpmanagerbyusercentrics.mintlify.app/mcp

The agent skill

The docs MCP server lets an agent read the documentation; the agent skill teaches it how to act on the product to answer your questions.
1

Get the skill

The skill is published at https://mcpmanagerbyusercentrics.mintlify.app/skill.md. The docs MCP server also exposes it as a resource, so a connected agent can discover it without a manual download.
2

Load it into your agent runtime

Drop skill.md into the agent runtime your team uses — for example, as a skill in Claude Code. The agent then has the operating manual in context whenever it works with MCP Manager.

Further reading

Remote MCP Servers

Register the docs MCP server — or any URL-based server — behind a gateway.

Connection Experience

What connecting to a governed gateway looks like for the end user.

Gateway Rules Overview

The rules an agent can read about, and that you can apply to docs traffic.

Introduction

What MCP Manager is and the problem it solves.

External sources

Mintlify: MCP server

How the hosted docs MCP server, its tools, and the discovery document work.

Mintlify: llms.txt

The llms.txt and llms-full.txt standard generated for AI ingestion.