SACS.ai MCP — California School District Financial Data

加州公立學區財務資料、CDE 申報文件、比較、有來源的學區簡報，以及供 AI 代理使用的 SACS 會計指引。

造訪 sacs.ai

託管 MCP 伺服器

npx add-mcp 'https://mcp.sacs.ai/mcp'

可安裝到 Claude Code、Codex、Cursor 等客戶端

文件

SACS.ai MCP — California K–12 school finance data

Remote MCP server for public California school district financial data and SACS filings.

Endpoint

https://mcp.sacs.ai/mcp

Transport

Streamable HTTP

Authentication

None for public data; no SACS account or API key required

Access

Public financial tools are read-only. Optional registration and feedback tools write only with operator consent.

Registry name

ai.sacs/sacs-mcp

Data sources

Official California Department of Education SACS public filings, with reporting period, basis, dataset references, provenance, and limitations in results. SACS.ai is independent and not affiliated with CDE.

Tools and first calls

Initialize MCP, call tools/list, then use the returned schemas. A browser GET to the endpoint is not an MCP connection test.

  1. sacs_search_districts: {"query":"Los Angeles Unified","limit":5} — confirm the district and CDS identifier.
  2. sacs_list_public_datasets: use the returned district identifier to discover available fiscal years, reporting periods, and bases.
  3. sacs_district_context_pack: choose a discovered year and basis, set fund_codes=["01"] for General Fund only, and start with detail="summary".

Other public tools provide financial summaries, district comparisons, SACS code explanations, dataset provenance, and bounded context-pack batches. Optional engagement tools are separate from public financial reads.

Evidence rules

Keep source provenance, fiscal year, basis, fund scope, data version, and limitations with every answer. A dataset reference is not necessarily a public source URL. Missing values are unknown, not zero. Do not compare different reporting bases without noting the difference.

For exact example arguments and client setup, see the agent quickstart or plain-text guide.