What official sources does it support?
It currently supports SAMA, stats.gov.sa, Ministry of Finance, and one narrow data.gov.sa pilot dataset.
@raheb77
Basic information
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
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"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
It currently supports SAMA, stats.gov.sa, Ministry of Finance, and one narrow data.gov.sa pilot dataset.
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.
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.
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.
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.

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