# PubRecords

> Use this tool when you need to access and consolidate US public records from multiple sources, solving problems such as verifying company information, searching business filings, and checking professional licenses. It takes in queries and parameters as input and returns normalized data and confidence scores as output. Ideal for use cases requiring reliable and aggregated public records data, such as due diligence, research, or compliance checks.

Canonical page: https://skillsregistry.net/skills/bch1212-pubrecords  
JSON: https://api.skillsregistry.net/v1/skills/bch1212-pubrecords

## Description

PubRecords is a paid MCP server that consolidates US public records from multiple sources — OpenCorporates, SEC EDGAR, USASpending.gov, federal courts (RECAP), the NPI registry, and FCC databases — into a single tool surface for AI agents. It supports cross-referencing companies, searching business filings and court cases, verifying professional licenses, and generating normalized confidence scores. A free tier provides 30 calls per day.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bch1212-pubrecords)
- **Repository:** <https://github.com/bch1212/mcp-pubrecords>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bch1212-pubrecords"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bch1212-pubrecords` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bch1212-pubrecords/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt