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Chat with the Document via AI

Catalunya 2022 MCP Server

Connect any AI assistant that supports MCP to the Catalunya 2022 document. No authentication required, open to everyone, humans and AI agents alike.

Protocol

What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external data sources and tools. Think of it as a universal plug that allows any compatible AI (Claude, ChatGPT, Codex, and others) to read and interact with structured content.

To learn more about MCP, visit the official website of the protocol: modelcontextprotocol.io

Server

The Catalunya 2022 MCP Server

The Catalunya 2022 MCP server makes the entire Catalunya 2022 document (3 spheres, 12 goals, and 91 action proposals) queryable by any AI assistant. It provides tools for full-text search and section retrieval, resources for accessing the document hierarchy and contributor profiles, and guided prompts for exploring spheres or analyzing specific proposals. Available in 3 languages (Catalan, English, and Spanish), no authentication required.

https://mcp.2022.cat

Examples

What Can You Ask?

Once connected, you can ask your AI assistant anything about the document. Start with simple questions to explore the structure, or go deeper with analysis and cross-references across spheres, goals, and proposals.

What are the 3 spheres and how many goals does each one have?

What does the document propose about housing?

Summarize Goal 6 on food and energy sovereignty and its most impactful actions

Find all proposals that mention data or digital infrastructure across all spheres

If Catalonia could only implement 5 of the 91 proposals, which 5 would create the most systemic impact? Justify with evidence from the document.

What does Action 1-1 propose about cultural investment, and how does it compare to European averages?

Connection

How to Connect

Capabilities

Server Capabilities

Tools

Tool

get_document_metadata

Get the complete structure: 3 spheres, 12 goals, 91 actions with titles, slugs, and contributor list. The starting point for navigation.

Tool

search_document

Full-text keyword search across all content. Returns up to 10 results with snippets. Handles Catalan/Spanish diacritics automatically (e.g. “educacio” matches “educació”). Can filter by section type.

Tool

get_section

Retrieve the full text of any section by its canonical slug (e.g. sphere-1/goal-2/action-2-1). Returns Markdown content with links to the website.

Tool

list_proposals

List all 91 action proposals, optionally filtered by sphere (1–3) or goal (1–12). Returns action IDs, titles, slugs, and website URLs in correct numeric order.

Resources

URI

document://catalunya2022/manifest

Full document hierarchy with trilingual titles, the complete table of contents as structured JSON.

URI

document://catalunya2022/{locale}/{slug}

Any section in Markdown. Locale is ca, en, or es. Slug follows the canonical pattern (e.g. sphere-1/goal-2).

URI

document://catalunya2022/contributors

All 30 task force expert profiles with trilingual roles, bios, photos, and social links.

Guided Prompts

Prompt

explore-document

Guided tour of the document structure and key themes. The AI calls get_document_metadata, gives an overview, and offers to dive deeper.

Prompt

summarize-sphere

Deep summary of a sphere (1, 2, or 3). Reads the sphere overview, all its goals, and lists all actions within it.

Prompt

analyze-proposal

In-depth analysis of a specific action (e.g. Action 2-1). The AI reads the action, its parent goal, and its sphere, then provides feasibility analysis and cross-references.

Reference

Technical Details

Protocol

MCP (Model Context Protocol) over Streamable HTTP

Endpoint

POST https://mcp.2022.cat/

Rate limit

120 requests/minute

Authentication

None. Public access

Languages

Catalan (ca), English (en), Spanish (es). Default: Catalan

Content

109 sections, 30 contributor profiles, ~0.56 MB corpus