# Tunis ## Our Faculties *No faculties currently available.* ## Our Programs *No programs currently available.* ## API Access ### Search API (HTTP) Search programs, faculties, events, news, and more via simple HTTP GET requests. - **Endpoint**: `GET https://collegelasalletunis.lcieducation.com/api/search` - **Schema / Discovery**: `GET https://collegelasalletunis.lcieducation.com/api/search/schema?locale=ar` - **Authentication**: None required (public) **Quick examples**: - Search programs: `https://collegelasalletunis.lcieducation.com/api/search?locale=ar&q=design` - Filter by faculty: `https://collegelasalletunis.lcieducation.com/api/search?locale=ar&faculty=Design` - List events: `https://collegelasalletunis.lcieducation.com/api/search?type=event&locale=ar` - Latest news: `https://collegelasalletunis.lcieducation.com/api/search?type=news&locale=ar&sort=date` - All content types: `https://collegelasalletunis.lcieducation.com/api/search?type=all&locale=ar&q=design` Supports 7 content types: programs, faculties, fields of study, pages, events, news, stories. ### MCP Server (AI Agents) For AI agents that support the [Model Context Protocol](https://modelcontextprotocol.io), a full MCP server is available with 15 tools, conversation context, and structured responses. - **Endpoint**: `POST https://collegelasalletunis.lcieducation.com/api/mcp` - **Protocol**: JSON-RPC 2.0 over Streamable HTTP (stateless) - **Authentication**: None required (public) **Available tools**: search_programs, get_program, compare_programs, search_faculties, search_fields_of_study, get_campus, search_global, search_pages, search_site, search_faq, search_events, search_news, search_stories **Available resources**: lci://search/schema, lci://search/instructions, lci://search/facets/{locale}, lci://search/facets/{locale}/{type} **Client configuration** (Claude Desktop, Cursor, etc.): ```json { "mcpServers": { "collegelasalletunis": { "type": "streamableHttp", "url": "https://collegelasalletunis.lcieducation.com/api/mcp" } } } ``` **Recommended first step**: Read the `lci://search/schema` and `lci://search/facets/{locale}` resources — they provide available parameters, valid filter values, and AI behavior instructions.