MEK MCP
MCP server to access the Hungarian Electronic Library (MEK) search engines, enabling agentic tools to search and retrieve content.
README
MEK MCP
Python MCP szerver a Magyar Elektronikus Könyvtár keresőinek eléréséhez agentic eszközök számára.
Dokumentáció
Telepítés
python -m venv .venv
.venv\Scripts\activate
pip install -e ".[dev]"
playwright install chromium
Az összetett kereséshez Playwright + Chromium szükséges (headless böngésző scraping a detailed oldalhoz).
Első lépés: űrlap-paraméterek feltárása
python -m venv .venv
.venv\Scripts\activate
pip install -e ".[dev]"
python scripts/discover_forms.py --probe
A riport: discovery/output/forms_report.json
Cursor MCP konfiguráció
A projekt tartalmazza: .cursor/mcp.json
{
"mcpServers": {
"mek": {
"command": "${workspaceFolder}/.venv/Scripts/python.exe",
"args": ["-m", "mek_mcp.server"],
"cwd": "${workspaceFolder}"
}
}
}
Előfeltétel: pip install -e ".[dev]" a .venv-ben. Cursorban: Settings → MCP → a mek szerver engedélyezése (ha a team policy engedi).
Render deploy (Streamable HTTP)
Docker (ajánlott)
docker build -t mek-mcp .
docker run --rm -p 10000:10000 -e MCP_TRANSPORT=streamable-http -e HOST=0.0.0.0 mek-mcp
Health check: http://localhost:10000/health
MCP végpont: http://localhost:10000/mcp
Render Web Service
- Push a repót GitHubra
- Render Dashboard → New → Blueprint → válaszd a
render.yaml-t
(vagy New → Web Service → Docker runtime,Dockerfileútvonal) - A
PORTváltozót a Render automatikusan beállítja
| Változó | Érték |
|---|---|
MCP_TRANSPORT |
streamable-http |
HOST |
0.0.0.0 |
MEK_PLAYWRIGHT_HEADLESS |
true |
Start command (Dockerfile-ből automatikus): python -m mek_mcp.server
Health check: GET /health
MCP végpont (alapértelmezés):
- Streamable HTTP:
https://<service>.onrender.com/mcp
Legacy SSE (opcionális, MCP_TRANSPORT=sse):
- SSE stream:
https://<service>.onrender.com/sse - Üzenetek:
https://<service>.onrender.com/messages/
A Playwright Chromium a Docker image része (mcr.microsoft.com/playwright/python).
Licenc
A MEK tartalmára az OSZK felhasználási feltételei vonatkoznak. Ez a projekt nem hivatalos OSZK/MEK termék.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.