Primary-source evidence
URLs, fetched_at, content hash
Responses carry source URLs, fetch timestamps, stable IDs, and caveats so the model can cite evidence instead of inventing provenance.
An MCP server for Japanese subsidy / tax / loan / law data. ChatGPT and Claude write the answer; jpcite supplies the evidence layer before generation.
261 MCP tools at standard configuration (protocol 2025-06-18). 14,472 programs + 2,286 case studies + 108 loans + 1,185 enforcement + e-Gov law metadata and article references (coverage varies by record) + 50 tax rulesets + 13,801 invoice registrants + structured entity facts (503,930 entities / 6.12M facts / 378,342 relations / 335,605 aliases). 3 req/day free for public web/API evaluation, ¥3/billable unit commercial.
URLs, fetched_at, content hash
Responses carry source URLs, fetch timestamps, stable IDs, and caveats so the model can cite evidence instead of inventing provenance.
Search first, generate second
Call jpcite before sending long PDFs or government pages into an LLM. It returns short, structured candidates and rule verdicts that keep prompts smaller.
Retrieval cost is fixed
Anonymous traffic gets 3 req/day per IP. Commercial pricing is ¥3/billable unit (¥3.30 tax inclusive), no monthly fixed fee, with Stripe metered billing.
Add the MCP server to your config and Claude searches programs, adoptions, loans, and laws on its own. Natural-language queries like "Tokyo subsidies for construction, around 5M yen" decompose internally into search_programs + check_exclusion.
Connect MCP from Cursor and the Cursor agent calls jpcite tools directly while it generates types and implementation. Importing the OpenAPI spec also gives you fully type-safe client code.
Import the OpenAPI 3.1 spec as a ChatGPT GPT Action and you have source-linked Japanese-program evidence before GPT answers. Dify and LangChain take it as a REST tool.
Add "applicable subsidies", "invoice-system status", and "enforcement check" features to accounting / sales / legal SaaS. ¥3/billable unit metered scales linearly with end-user count, with no fixed cost. White-label is fine.
Fetch jpcite Evidence Packets alongside internal Confluence results before the model drafts an answer. combined_compliance_check / trace_program_to_law chain program → statute → circular in one evidence flow.
curl 'https://api.jpcite.com/v1/programs/search?\
q=DX&tier=S,A&limit=5'
# OpenAPI spec
curl https://api.jpcite.com/v1/openapi.json
No signup. JST daily reset.
# pip install httpx
import httpx
client = httpx.Client(
base_url="https://api.jpcite.com/v1",
headers={"X-API-Key": "jc_..."}
)
r = client.get("/programs/search",
params={"q": "DX", "limit": 5})
for p in r.json["items"]:
print(p["name"], p["source_url"])
Use httpx.AsyncClient for async.
// ~/Library/Application Support/
// Claude/claude_desktop_config.json
{
"mcpServers": {
"jpcite": {
"command": "uvx",
"args": ["autonomath-mcp"],
"env": {
"JPCITE_API_KEY": "jc_..."
}
}
}
}
PyPI: autonomath-mcp; uvx launches in place.
smb_starter_packsubsidy_combo_finderdeadline_calendardd_profile_amsimilar_casesregulatory_prep_packsubsidy_roadmap_3yrcombined_compliance_checktrace_program_to_lawsearch_tax_incentivesreason_answerlist_tax_sunset_alertssearch_certificationslist_open_programsactive_programs_atsearch_acceptance_stats_amsearch_loans_amcheck_enforcement_amget_law_article_amgraph_traverseprogram_lifecycleprerequisite_chainquery_at_snapshot¥3/billable unit metered (¥3.30 tax inclusive). 3 anonymous req/day per IP for evaluation, no key needed.
| Tier | Free quota | Paid (tax excl.) | Tax incl. |
|---|---|---|---|
| Anonymous (no key) | 3 req/day per IP | - | - |
| Authenticated (API key) | - | ¥3 / unit | ¥3.30 / unit |
| Embedded in your SaaS | - | ¥3 / unit (white-label OK) | ¥3.30 / unit |
Stripe metered billing, qualified invoices issued automatically, cancel anytime. Full pricing →
stdio is the primary transport (the default for Claude Desktop and Cursor). SSE / WebSocket support is planned for late 2026. The REST API has the same coverage, so use that if your environment is HTTP-only.
The authoritative full list and tool schemas are published at /docs/mcp-tools/. Use that index as the source of truth instead of a static breakdown on this page.
Claude Desktop has native MCP support — drop-in. Cursor accepts MCP config. ChatGPT calls the REST API through GPTs Actions. Sample configs are in the quickstart.
Anonymous traffic is 3 req/day per IP, reset at JST next-day 00:00. Authenticated API keys are metered at ¥3/billable unit and can set a monthly budget cap from the dashboard. The API is designed for normal agent bursts across MCP and HTTP.
/docs/openapi/v1.json publishes the OpenAPI 3.1 spec, auto-generated from FastAPI. Imports into Stoplight, Postman, Insomnia, etc.
PyPI: autonomath-mcp (uvx-runnable, compatibility package name). No npm package is required for MCP; uvx / pipx is the standard launcher.
Run all requests through one of your API keys, ¥3/billable unit metered. Reselling is allowed; there's no requirement to display the jpcite brand (white-label is fine).
Same MCP/REST seen from other angles: VC / M&A advisor (DD automation), tax advisors (tax ruleset queries), administrative scriveners (permit batch queries), SMB owners (public web/API evaluation users). Compare all 5 audiences.
uvx autonomath-mcp launches immediately. Just add to claude_desktop_config.json.Operator: Bookyou Inc. Cancel anytime, no minimums or termination fees · Legal disclosures (JP)