mcpField
I
India Company Diligence

India Company Diligence

Local
pypi.orgBusiness & Marketing0Updated 4d ago

About India Company Diligence

India Company Diligence is an open-source MCP server for agents assessing Indian companies. It combines a local MCA registry mirror with offline CIN decoding and GSTIN checks, and reports field sources and missing or stale data.

Key features

  1. 01Search company names in the MCA mirror
  2. 02Look up registry records by CIN
  3. 03Decode CIN structure offline
  4. 04Validate GSTIN format and checksum
  5. 05Return field provenance and data gaps

Use cases

  1. 01Check a company's registry status and capital
  2. 02Distinguish companies with similar names
  3. 03Validate a GSTIN without network access

MCP support

The MCP server exposes company search and lookup, CIN decoding, and GSTIN validation tools to MCP clients. Registry lookups use the local mirror; decoding and validation work offline.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"amit043-india-company-diligence": {
"command": "uvx",
"args": [
"india-company-diligence"
],
"env": {
"ICD_MIRROR_DB": "<ICD_MIRROR_DB>"
}
}
}
}
Run commanduvx india-company-diligence
Environment variables to set
ICD_MIRROR_DBPath to mca_mirror.duckdb (fetch once: uvx --from india-company-diligence icd-fetch). Default: data/mca_mirror.duckdb.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiindia-company-diligence0.1.1

Tools

4

Saved tool list · updated 3d ago

ParameterTypeRequiredDescription
cinstringYes

Details

From the project 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, then company_lookup): HELLA INFRA MARKET LIMITED (CIN U46632MH2016PLC283737) 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

ToolWhat it doesNetwork
company_lookup(cin)Full registry row for one CIN, per-field provenancemirror only
company_search(name, limit)Case-insensitive name search, ≤50 rows, rankedmirror only
cin_decode(cin)Offline structural decode: listing status, state, year, company typenone
gstin_validate(gstin)Offline GSTIN structure + mod-36 checksum validationnone

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_decode currently 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 from data/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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