SACS.ai MCP — California School District Financial Data

SACS California school finance: public district financial data, CDE filings, comparisons, briefings.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    SACS California school finance: public district financial data, CDE filings, comparisons, briefings.

    How to connect

    How to connect SACS.ai MCP — California School District Financial Data to Claude

    The server address to paste into Claude settings:

    https://mcp.sacs.ai/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect SACS.ai MCP — California School District Financial Data to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.sacs.ai/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect SACS.ai MCP — California School District Financial Data to Cursor

    The server address to paste into Cursor settings:

    https://mcp.sacs.ai/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (12)

    Raw names from tools/list. Only developers need these.

    sacs_search_districtsSearch current public California districts by name, 7-digit LEA, or 14-digit CDS. Omit query or pass an empty string to browse all current districts. Follow page.next_offset while page.has_more is true; pages contain at most 50 rows.
    sacs_list_public_datasetsList versioned official public SACS datasets for one district.
    sacs_query_attendanceReturn recovered Form A ADA observations for one official district filing.
    sacs_query_financial_summaryReturn bounded aggregate financial summaries for one explicit official dataset.
    sacs_compare_districtsCompare deterministic object-category totals for two explicit official datasets.
    sacs_district_context_packBuild fiscal-distress rows with source filing details. Deficit spending is signed net operating result / expenditure; negative means deficit.
    sacs_district_context_pack_batchBuild bounded district packs with source filing details. Deficit spending is signed net operating result / expenditure; negative means deficit.
    sacs_explain_codeExplain current public fund, resource, goal, function, or object codes.
    sacs_search_csamSearch California School Accounting Manual (CSAM 2024) by keywords and topic, procedure number or a returned chunk_id. Use chunk_id with direction=previous or next and limit (1–10) to read adjacent source chunks within the same procedure; navigation.continuation supplies the next request. Results include extracted text plus Markdown with conservative code-definition/journal tables, topic path, procedure revision, printed/PDF page and a CDE PDF citation. All non-stopword keywords must match; topic filters heading words. Use short accounting terms rather than a long question. Read citations for surrounding tables/context; later correspondence is excluded. No login or model-provider key required.
    sacs_get_csam_relatedRetrieve related CSAM 2024 sections/content using its source-evidenced knowledge graph. Start with a procedure number, a chunk_id from sacs_search_csam, a returned node_id, or short heading/code/glossary keywords (exactly one selector). Defaults to explicit references in both directions. Choose relations contains/in_procedure for hierarchy, defines/mentions for code or glossary connections, within_range for numeric code membership, or next for source adjacency; depth 1–2. Every result explains its evidence path and returns at most one cited text/Markdown chunk; representative content is partial. Query node_id=csam:2024:manual with relations=[contains] to browse structure. Use include_content=false for topology-only pages. No database/model calls or paid entitlement required.
    sacs_register_clientOptionally register this MCP installation. Before calling, tell the operator registration is voluntary, data access works without it, list the fields to be stored, and obtain consent. Never infer or submit personal or confidential information.
    sacs_submit_feedbackReport a wrong, stale, incomplete, or failed result, or send a feature request. Ask the operator to report issues here; explain the exact fields and submit only with consent. Include request ID and data version when available. Anonymous feedback is welcome. Never include personal, student, personnel, or confidential information.