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Saudi Open Data Mcp

@raheb77

Repository

About Saudi Open Data Mcp

Saudi Open Data MCP provides a governed interface to approved official Saudi datasets through explicit connectors, typed normalization, registry-backed metadata, and snapshot-backed querying. It is designed for internal or evaluator-controlled use where source boundaries, determi

#mcp#mcp-server#saudi-open-data#sama#fastmcp

Basic information

Category

Data & Analytics

Transports

stdio

Publisher

raheb77

Submitted by

Raheb Almutairi

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "saudi-open-data-mcp": {
      "command": "saudi-open-data-mcp",
      "args": [
        "run-stdio"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Saudi Open Data Mcp?

Saudi Open Data Mcp is a production-minded MCP server for Saudi open data sources. It provides source isolation through explicit connectors, typed normalization and canonical record contracts, registry-backed dataset metadata and health metadata, and deterministic AI-facing resource and tool interfaces. It currently covers curated official sources including SAMA, stats.gov.sa, Ministry of Finance, and one narrow data.gov.sa pilot dataset.

How to use Saudi Open Data Mcp?

The server is designed as a container-first MCP service with stdio available for local development and command-based host integration. It exposes a governed MCP surface over /mcp, a thin CLI over the same core, and an optional Arabic RTL dashboard. Deployment is self-hosted or sovereign-hosting-friendly, requiring one Python service or container with local persistent storage and outbound access only to approved official sources.

Key features of Saudi Open Data Mcp

  • Source isolation through explicit typed connectors
  • Typed normalization and canonical record contracts
  • Registry-backed dataset metadata and health metadata
  • Deterministic MCP tool and resource surface
  • Container-first deployment with CLI and HTTP modes

Use cases of Saudi Open Data Mcp

  • Evaluating and operating a governed Saudi open data service
  • Building AI tools that query official Saudi economic datasets
  • Integrating SAMA, stats.gov.sa, and Ministry of Finance data into applications
  • Producing governed institutional artifacts from query results

FAQ from Saudi Open Data Mcp

What official sources does it support?

It currently supports SAMA, stats.gov.sa, Ministry of Finance, and one narrow data.gov.sa pilot dataset.

What does the system not do?

It is not a generic BI suite, a broad national data lake, or a crawler for arbitrary sites. It does not add LLM rewriting, semantic search, or AI-generated narrative reporting in the core path.

What are the deployment requirements?

It requires a self-hosted environment that can run one Python service or container and manage local persistent storage. There is no required vendor-managed control plane, hosted search layer, or hosted database beyond the local SQLite registry.

What transport and auth mechanisms are in place?

HTTP auth, narrow RBAC, and structured audit logs are implemented. The server exposes an MCP surface over /mcp and a CLI/stdio interface for local host integration.

What is the license for the code?

The code is licensed under the Apache License, Version 2.0. Model weights are not included in the repository and are not licensed under Apache-2.0 by default.

Comments

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