Server data from the Official MCP Registry
India company data for agents: 3.74M-company MCA mirror, CIN/GSTIN tools, provenance on every field
About
India company data for agents: 3.74M-company MCA mirror, CIN/GSTIN tools, provenance on every field
Security Report
This is a read-only MCP server that queries a local DuckDB mirror of Indian MCA company data, with offline CIN and GSTIN validation and no shell execution, eval, or hardcoded credentials found. Minor concerns include the data.gov.in API key being embedded in the request URL (which can leak into logs or error messages) and the sync/watch scripts spawning subprocesses, but permissions broadly match the stated purpose of a company-data diligence tool. Supply chain analysis found 6 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue.
13 files analyzed · 13 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: ICD_MIRROR_DB
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-amit043-india-company-diligence": {
"env": {
"ICD_MIRROR_DB": "your-icd-mirror-db-here"
},
"args": [
"india-company-diligence"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
india-company-diligence
An open-source MCP server that makes India's public company data agent-legible: a full local mirror of the MCA company master data (~3.74M companies), offline CIN decoding and GSTIN validation, and provenance on every field.
v0.1.0 · mirror as_of 2026-10-25 · upstream dataset updated 2026-10-13 · MIT license · github.com/amit043/india-company-diligence
60-second demo
You: A vendor called "Hella Infra Market" wants a ₹2 crore credit line. Check them out.
Claude (calls
company_search, thencompany_lookup): HELLA INFRA MARKET LIMITED (CINU46632MH2016PLC283737) is Active, a public unlisted company registered with ROC Mumbai, incorporated 2016-07-15, paid-up capital ₹285.8 crore. Note:HELLA INFRACON PRIVATE LIMITED— a similarly named entity — is Strike Off, so confirm the exact CIN on the invoice. Missing: directors, charges, and financials require the live MCA layer (roadmap). Source: mca-master-data, as_of 2026-10-25.
Every answer carries where each field came from, what is missing, and what is stale. Missing is stated, never fabricated.
Install & run (Claude Desktop)
Requires uv.
# 1. one-time: download the prebuilt mirror (~530 MB download, ~1.4 GB on disk)
uvx --from india-company-diligence icd-fetch
Add to claude_desktop_config.json:
{
"mcpServers": {
"india-company-diligence": {
"command": "uvx",
"args": ["india-company-diligence"],
"env": { "ICD_MIRROR_DB": "C:\\full\\path\\to\\mca_mirror.duckdb" }
}
}
}
Restart Claude Desktop. Ask: "Look up CIN L17110MH1973PLC019786".
Tools
| Tool | What it does | Network |
|---|---|---|
company_lookup(cin) | Full registry row for one CIN, per-field provenance | mirror only |
company_search(name, limit) | Case-insensitive name search, ≤50 rows, ranked | mirror only |
cin_decode(cin) | Offline structural decode: listing status, state, year, company type | none |
gstin_validate(gstin) | Offline GSTIN structure + mod-36 checksum validation | none |
The provenance contract
Every tool returns data plus provenance, and states what is missing or stale — never fabricated, never an error page:
{
"data": { "...": "..." },
"provenance": [{"field": "CompanyStatus", "source": "mca-master-data", "as_of": "2026-10-25"}],
"missing": ["director_network (live layer unavailable)"],
"stale": []
}
Data & attribution
Company Master Data (RoC-wise), published by the Ministry of Corporate Affairs via data.gov.in, licensed under the Government Open Data License – India (GODL). 3,738,721 companies; upstream dataset updated 2026-10-13; this mirror built 2026-10-25.
gstin_validate is offline-only by design: no keyless public GST API exists, so
legal name / registration status are stated as missing rather than guessed.
Roadmap
- L1 live layer — MCA directors & charges via browser automation (week 2)
- LLP decode —
cin_decodecurrently handles company CINs; LLP IDs (e.g.ABA-1729) next - Refresh cadence: monthly mirror rebuilds as upstream updates
Bugs and data gaps: open an issue.
Sync the mirror yourself (alternative to icd-fetch)
Get a free API key on data.gov.in, then:
export OGD_API_KEY=your-key # or put it in a .env file at the repo root
uv run icd-sync # paginated pull, checkpointed, safe to interrupt
uv run icd-import # CSV -> data/mca_mirror.duckdb, source/as_of baked in
The pull is paced (5s between pages by default; override with OGD_DELAY_SECONDS
or uv run icd-sync --delay 3). Completion matters, not speed.
Pausing & resuming
- stop:
uv run icd-watch stop(or just close the terminal) - status:
uv run icd-watch status - resume:
uv run icd-watch start— continues fromdata/mca_master.checkpoint - when the checkpoint reaches the dataset total, run
uv run icd-import
Development
uv sync
uv run pytest
uv run ruff check .
Prefer plain pip? requirements.txt / requirements-dev.txt mirror the deps.
License
MIT. Data under GODL-India; attribution as above.
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