SACS.ai MCP MCP server

A remote MCP server providing read-only access to public California school district financial data, CDE filings, and SACS ontology. It enables agents to resolve district identities, discover available datasets, retrieve financial summaries, and generate context packs with source evidence and limitations.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by SACS.ai

MCP endpoint (Streamable HTTP)

https://mcp.sacs.ai/mcp

Vendor documentation

What you can do with it

Resolve district identity and discover official datasets
Retrieve financial summaries and comparisons
Generate district context packs with provenance
Explain SACS code definitions and ontology

Tools advertised by the last live check:

sacs_search_districts
sacs_list_public_datasets
sacs_query_attendance
sacs_query_financial_summary
sacs_compare_districts
sacs_district_context_pack
sacs_district_context_pack_batch
sacs_explain_code
sacs_register_client
sacs_submit_feedback

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http sacs-ai-mcp https://mcp.sacs.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add sacs-ai-mcp --url https://mcp.sacs.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable sacs-ai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "sacs-ai-mcp": {
      "url": "https://mcp.sacs.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "sacs-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.sacs.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start sacs-ai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "sacs-ai-mcp": {
      "type": "http",
      "url": "https://mcp.sacs.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http sacs-ai-mcp https://mcp.sacs.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "sacs-ai-mcp": {
      "url": "https://mcp.sacs.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "sacs-ai-mcp": {
      "serverUrl": "https://mcp.sacs.ai/mcp"
    }
  }
}

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