Tool
get_document_metadataGet the complete structure: 3 spheres, 12 goals, 91 actions with titles, slugs, and contributor list. The starting point for navigation.
Catalunya 2022
RESET: Call to reactivate Catalonia
Chat with the Document via AI
Connect any AI assistant that supports MCP to the Catalunya 2022 document. No authentication required, open to everyone, humans and AI agents alike.
Protocol
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 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.catExamples
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
Capabilities
Tool
get_document_metadataGet the complete structure: 3 spheres, 12 goals, 91 actions with titles, slugs, and contributor list. The starting point for navigation.
Tool
search_documentFull-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_sectionRetrieve 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_proposalsList 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.
| Tool | Description |
|---|---|
| get_document_metadata | Get the complete structure: 3 spheres, 12 goals, 91 actions with titles, slugs, and contributor list. The starting point for navigation. |
| 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. |
| 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. |
| 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. |
URI
document://catalunya2022/manifestFull 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/contributorsAll 30 task force expert profiles with trilingual roles, bios, photos, and social links.
| URI | Description |
|---|---|
| document://catalunya2022/manifest | Full document hierarchy with trilingual titles, the complete table of contents as structured JSON. |
| 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). |
| document://catalunya2022/contributors | All 30 task force expert profiles with trilingual roles, bios, photos, and social links. |
Prompt
explore-documentGuided tour of the document structure and key themes. The AI calls get_document_metadata, gives an overview, and offers to dive deeper.
Prompt
summarize-sphereDeep summary of a sphere (1, 2, or 3). Reads the sphere overview, all its goals, and lists all actions within it.
Prompt
analyze-proposalIn-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.
| Prompt | Description |
|---|---|
| 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. |
| summarize-sphere | Deep summary of a sphere (1, 2, or 3). Reads the sphere overview, all its goals, and lists all actions within it. |
| 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
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
| 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 |