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Yargı MCP

MCP Server

Fast, Turkish legal data via Model Context Protocol

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About

Yargı MCP delivers a high‑performance FastMCP server that aggregates multiple Turkish court databases—Yargıtay, Danıştay, Anayasa Mahkemesi, KVKK, BDDK, and more—into a unified API. It supports advanced filtering, full‑sentence search, and Markdown output for LLMs and tools.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Example Screenshot of Yargı MCP in Action

Yargı MCP is a high‑performance FastMCP server that exposes a unified, Model Context Protocol interface for the full spectrum of Turkish legal sources. From Supreme Court (Yargıtay) and Council of State (Danıştay) decisions to competition‑law rulings, procurement board judgments, and privacy‑regulation verdicts, the server aggregates data from multiple APIs—Bedesten, main court portals, and external search engines—to deliver a single, consistent toolset for AI assistants.

The core problem it solves is fragmentation. Legal research in Turkey requires querying dozens of disparate systems, each with its own authentication, pagination, and data format. Yargı MCP abstracts those differences behind a lightweight MCP endpoint that returns Markdown‑formatted texts, paginated when necessary. This lets developers plug the service into Claude Desktop, 5ire, or any MCP‑compatible client without writing custom adapters for every court database.

Key capabilities include:

  • Extensive filtering: 79 distinct court departments, ISO 8601 date ranges, and exact‑phrase search with double quotes.
  • Multi‑API support: Dual or triple API strategies per institution (e.g., Yargıtay’s main portal plus Bedesten) ensure maximum coverage and reliability.
  • Large‑text handling: Long judgments (up to 5 000 characters) are split into paginated Markdown blocks, preserving readability for LLMs.
  • Token‑efficiency: The server’s internal optimizations cut token usage by 61.8 %, yielding faster responses and lower cost when interacting with Claude or similar models.

Typical use cases involve building AI‑powered legal assistants that can answer precedent questions, draft citations, or generate comparative analyses. A user could ask the assistant to “find Yargıtay decisions on privacy violations between 2018 and 2020 that mention GDPR,” and the MCP would return relevant judgments in a single, model‑friendly payload. Because the service speaks MCP, it fits seamlessly into existing AI workflows: the assistant sends a tool‑call with search parameters, receives structured results, and incorporates them into the conversation.

Yargı MCP stands out by combining breadth (every major Turkish court and regulatory body), depth (fine‑grained filters and exact‑phrase search), and performance (token savings, fast response). For developers building AI applications that need authoritative legal references, this server eliminates the need to maintain multiple API clients and lets them focus on higher‑level reasoning instead of data plumbing.