AI Integrations

The docs site ships several machine-readable endpoints that let AI assistants, MCP-compatible editors, and LLM toolchains consume the documentation directly — no scraping required.

MCP Server

An MCP (Model Context Protocol) server is available at /mcp. It exposes two tools that any MCP-compatible client (Claude Desktop, Cursor, VS Code Copilot, etc.) can call to search and read these docs at inference time.

Connecting

Add the server URL to your client config. No installation or API key required.

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
	"mcpServers": {
		"tmdb-docs": {
			"url": "https://tmdb.lorenzopantano.dev/mcp"
		}
	}
}

Or use the CLI to add it in one command:

claude mcp add --transport http tmdb-docs https://tmdb.lorenzopantano.dev/mcp

claude mcp add --transport http tmdb-docs https://tmdb.lorenzopantano.dev/mcp

To add it only for the current project (stored in .mcp.json):

claude mcp add --transport http --scope project tmdb-docs https://tmdb.lorenzopantano.dev/mcp

In Cursor Settings → MCP add a new server, or edit ~/.cursor/mcp.json:

{
	"mcpServers": {
		"tmdb-docs": {
			"url": "https://tmdb.lorenzopantano.dev/mcp"
		}
	}
}

In your workspace or user settings.json:

{
	"mcp": {
		"servers": {
			"tmdb-docs": {
				"type": "http",
				"url": "https://tmdb.lorenzopantano.dev/mcp"
			}
		}
	}
}

Or via the CLI:

code --add-mcp '{"name":"tmdb-docs","url":"https://tmdb.lorenzopantano.dev/mcp"}'

Edit ~/.codeium/windsurf/mcp_config.json:

{
	"mcpServers": {
		"tmdb-docs": {
			"serverUrl": "https://tmdb.lorenzopantano.dev/mcp"
		}
	}
}

Available Tools

`search_docs`

Search documentation pages by title or description. Returns up to 10 matches with their URL and description.

Parameter	Type	Description
`query`	string	The search term

Example result:

**Authentication** (/docs/getting-started/authentication)
Learn how to authenticate with the TMDB API using a Bearer token or a v3 API key.

**SSR / Server Components** (/docs/getting-started/ssr)
How to use the client in Next.js Server Components and other server environments.

`read_page`

Fetch the full markdown content of any documentation page by its path slug.

Parameter	Type	Description
`path`	string	Page path, e.g. `getting-started/authentication`

Example call:

{ "path": "getting-started/authentication" }

The response is the full page content in Markdown, including all headings, code blocks, and tables.

LLM-Friendly Text Routes

Every documentation page is available as plain Markdown at two URL patterns, useful for feeding content directly into an LLM context window.

Per-page Markdown

Append .md or .mdx to any docs URL:

/docs/getting-started/authentication.md
/docs/getting-started/authentication.mdx

Both return Content-Type: text/markdown with the full page content.

Full Docs Dump

/llms-full.txt returns all documentation pages concatenated into a single plain-text file — ready to paste into a context window or attach to a prompt.

curl https://tmdb.lorenzopantano.me/llms-full.txt

Discovery File

/llms.txt follows the llmstxt.org spec — a structured index of all pages that AI agents can fetch to discover what docs are available before deciding what to read.

curl https://tmdb.lorenzopantano.me/llms.txt

AI Integrations

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