SearchCAIE MCP Server

SearchCAIE MCP Server

Enables searching and retrieving CAIE past-paper questions with filters for subjects, years, and specific topics. It provides LLM-friendly responses including concise text previews and structured JSON data for single or multi-topic queries.

Category
Visit Server

README

SearchCAIE MCP Server

Standalone MCP server for Search CAIE past-paper search.

Features

  • Core search tools for single-topic and multi-topic queries
  • Filters for subject, paper, year, session, chapter, mode, and pagination
  • LLM-friendly tool responses: concise text preview plus structured JSON
  • Multi-topic search returns recommended_ids for quick follow-up retrieval
  • get_questions supports both compact (default) and full detail modes
  • Backward-compatible inputs: comma-separated strings and native arrays
  • Upstream retries and structured error handling

Tool behavior notes

  • search_multi accepts either topics (comma-separated string) or topics_list (array)
  • get_questions accepts either question_ids (comma-separated string) or question_ids_list (array)
  • get_questions defaults to detail="compact" to reduce token usage and improve LLM answer quality

Install

pip install .

Or from git:

pip install "git+https://github.com/Pixel2075/searchcaie-mcp.git"

Claude Desktop config

{
  "mcpServers": {
    "searchcaie-search": {
      "command": "searchcaie-mcp",
      "env": {
        "MCP_API_BASE": "https://api.searchcaie.qzz.io/api",
        "MCP_DEFAULT_SUBJECT": "9618"
      }
    }
  }
}

Environment variables

  • MCP_API_BASE (default: https://api.searchcaie.qzz.io/api)
  • MCP_DEFAULT_SUBJECT (default: 9618)
  • MCP_REQUEST_TIMEOUT (default: 30)
  • MCP_TRANSPORT (default: stdio)
  • MCP_HOST (default: 127.0.0.1)
  • MCP_PORT (default: 8000)
  • MCP_PATH (default: /mcp)

Run directly

searchcaie-mcp

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured