PubRecords MCP
Aggregate US business filings, SEC reports, federal court cases, federal spending awards, and professional licenses through a single MCP server.
README
PubRecords MCP
Public-records intelligence for AI agents. Aggregate US business filings, SEC reports, federal court cases, federal spending awards, and professional licenses through a single MCP server. Built for due diligence, compliance, sales research, and background checks.
MCPize Listing Copy
PubRecords MCP turns the patchwork of US public-records APIs into a single, predictable tool surface for AI agents. One call cross-references a company across OpenCorporates, SEC EDGAR, USASpending.gov, CourtListener (RECAP), the NPI registry, and FCC license-view — and returns a normalized confidence score so your agent doesn't need to babysit the messy bits. Every endpoint is async, retries upstream 429s with exponential backoff, and never crashes — failures come back as structured
{success: false, error: ...}envelopes that downstream tools can branch on cleanly.Designed for due diligence and KYB workflows, compliance and adverse-media checks, sales prospecting, and background research. AI agents using PubRecords MCP can verify whether a counterparty actually exists, find their officers and registered agent, surface federal litigation history, see contract awards from Uncle Sam, and confirm professional licenses — all without juggling six different API keys, rate-limit headers, or response schemas. Cached 24 hours by default; most underlying records refresh daily at the source. Free tier (30 calls/day) for evaluation; Pro at $29/mo or $0.03/call for production traffic.
Pricing
| Tier | Price | Limit |
|---|---|---|
| Free | $0 | 30 calls/day |
| Pro | $29/mo | Unlimited |
| Metered | $0.03/call | Pay-as-you-go |
Default dev key (free tier): pubrecords-dev-key-001
Upgrade: https://mcpize.com/pubrecords-mcp
Tool Reference
| Tool | Args | Returns |
|---|---|---|
search_companies |
name, state?, status?, limit? |
OpenCorporates entities |
get_company_details |
company_id, jurisdiction |
Officers, registered agent, filings |
search_sec_filings |
company_name, form_type?, date_from?, limit? |
EDGAR filing list |
get_sec_filing |
accession_number |
Filing metadata + index URL |
search_court_cases |
party_name, court?, date_from?, limit? |
RECAP federal dockets |
lookup_federal_spending |
recipient_name, agency?, year?, limit? |
USASpending awards |
lookup_npi |
name?, specialty?, state?, limit? |
NPPES providers |
get_ucc_filings |
debtor_name, state |
UCC liens (roadmap — see Data Gaps) |
verify_entity |
name, state? |
Cross-source 0–100 confidence score |
search_licenses |
entity_name, license_type?, state? |
NPI + FCC license union |
Install in Claude
claude mcp add --transport http pubrecords-mcp https://mcp-pubrecords-production.up.railway.app/mcp/
Note the trailing slash on
/mcp/. Without it the gateway issues a 307 that drops the POST body, breaking the JSON-RPC handshake.
Then set the API key in your client:
X-API-Key: pubrecords-dev-key-001
Python SDK
A thin Python wrapper for non-MCP integrations is published on PyPI:
pip install pubrecords
from pubrecords import PubRecords
client = PubRecords(api_key="pubrecords-dev-key-001")
print(client.health())
print(client.search_companies(name="Apple", state="CA"))
Source: pubrecords-sdk/. PyPI: https://pypi.org/project/pubrecords/.
REST surface (mirrors the MCP tools)
All MCP tools are also available over plain HTTP for non-MCP clients:
curl -H "X-API-Key: pubrecords-dev-key-001" \
"https://mcp-pubrecords-production.up.railway.app/tools/search_companies?name=Apple&state=CA"
Production URL: https://mcp-pubrecords-production.up.railway.app
GET /health (no auth)
GET /usage (X-API-Key)
GET /tools/<tool_name>?... (X-API-Key)
POST /mcp/ (MCP streamable-http transport)
GET /usage returns your remaining daily quota. GET /health is unauthenticated.
Local development
git clone https://github.com/bch1212/mcp-pubrecords.git
cd mcp-pubrecords
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
uvicorn server:app --reload --port 8000
Run tests:
pytest -v
Optional environment variables (see .env.example):
PUBRECORDS_SEC_USER_AGENT— SEC EDGAR requires an identifying UA. Set it in production.OPENCORPORATES_TOKEN— raises the OpenCorporates anonymous cap of ~50/month.COURTLISTENER_TOKEN— raises CourtListener's anonymous rate limit.PUBRECORDS_CACHE_TTL— cache TTL in seconds (default 86400 = 24h).PUBRECORDS_ADMIN_TOKEN— required to issue new keys at/admin/keys.
Data freshness
Responses are cached for 24 hours by default. Underlying source agencies update on different cadences:
| Source | Refresh cadence |
|---|---|
| OpenCorporates | Daily / weekly (varies by jurisdiction) |
| SEC EDGAR | Real-time (filings appear ~minutes after submission) |
| USASpending.gov | Monthly (FY-end backfills) |
| CourtListener (RECAP) | Daily (depends on volunteer uploads) |
| NPPES NPI | Weekly |
| FCC License-View | Daily |
For ultra-fresh queries, set PUBRECORDS_CACHE_TTL=300 (5 minutes) — note that this will multiply your upstream API costs.
Data Gaps & Source Limitations
These are honest caveats — the MCP returns structured not_implemented envelopes rather than fabricated data when a query falls outside coverage:
- UCC filings — there is no uniform federal UCC API. Most state Secretary-of-State systems are HTML-only or require per-state credentials.
get_ucc_filingsreturns{"error": "not_implemented"}until per-state adapters land (CA, DE, NY, TX are the priority backlog). - State professional licenses — covered for healthcare (NPI) and FCC. Other categories (bar, real estate, contractor, CPA) are state-by-state with no central API.
search_licenseswill say which sources matched. - OpenCorporates rate limits — anonymous traffic is capped at ~50 requests/month per IP. Set
OPENCORPORATES_TOKENfor production. The 24h cache absorbs most of the burn. - SEC EDGAR full-text —
search_sec_filingssearches the body of filings, not just metadata, so query terms common across many filings can return wide result sets. Combine withform_typeto narrow. - CourtListener coverage — federal only (PACER/RECAP). State court coverage is uneven and not guaranteed.
- No PII / consumer-record sources — by design. PubRecords is for entity-level due diligence; consumer credit and identity data are deliberately out of scope.
License & Compliance
This MCP only proxies and caches public records that are already free to access from federal sources. Cached payloads are kept for 24 hours and can be flushed by deleting the SQLite DB. No PII is stored beyond what the underlying public-record agencies already publish.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。