ListRiver

io.github.ListRiver-LLC由 GitHub 帳號 ListRiver-LLC 發布v0.1.0更新於 Nov 7, 2026

從州註冊庫中搜索美國新成立和使用中的企業：按州、城市、ZIP、NAICS查詢新成立的LLC。

AI 翻譯由 AI 模型根據下方的原文描述翻譯，可能有誤。

原文描述

Search new and active U.S. businesses from state registries: new LLCs by state, city, ZIP, NAICS.

已驗證STDIO僅桌面

概覽

ListRiver 的本機 MCP 服務；無需登入；STDIO；3 個工具。

暫無 AI 概覽：以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 ListRiver，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only，透過 STDIO。 STDIO 服務會啟動本機處理程序，因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

ListRiver MCP server

Lets Claude and other AI assistants search new and active U.S. businesses from official state business registries through ListRiver: new LLCs, corporations and nonprofits by state, city, county, ZIP, NAICS industry, entity type, formation month, and whether a phone or email is on file.

Ask things like:

  • "How many businesses were formed in Miami-Dade in the last 3 months that have a phone number?"
  • "Find 20 new construction companies in Harris County, Texas."
  • "List new LLCs in ZIP 80202 formed this month, with their registered agents."

Tools

ToolWhat it doesCost
list_statesStates covered and their record countsfree
count_businessesHow many businesses match a search, per statefree
search_businessesThe matching businesses (25 by default, up to 100 per call; cursor for more)each business returned counts against your ListRiver records

The assistant is told to count first and to ask only for as many businesses as you need.

Setup

  1. Get a free API key (500 records a month): listriver.com/Account/ApiSignUp.aspx
  2. Install uv (it runs the server with uvx, no other install needed).
  3. Add the server to your AI app.

Claude Desktop (Settings > Developer > Edit Config, then restart Claude Desktop):

json
{  "mcpServers": {    "listriver": {      "command": "uvx",      "args": ["listriver-mcp"],      "env": { "LISTRIVER_API_KEY": "lr_key_..." }    }  }}

Claude Code:

bash
claude mcp add listriver -e LISTRIVER_API_KEY=lr_key_... -- uvx listriver-mcp

Other MCP clients: run uvx listriver-mcp (stdio) with LISTRIVER_API_KEY in the environment. Or pip install listriver-mcp and run listriver-mcp.

Source

The server is listriver_mcp/server.py in this folder (Python, built on the official MCP Python SDK, using the listriver client from this repository). Tests: tests/test_server.py.

Run from a clone of the repository:

bash
pip install ./python ./mcpLISTRIVER_API_KEY=lr_key_... listriver-mcp

or build the Dockerfile at the repository root: docker build -t listriver-mcp . then docker run -i --rm -e LISTRIVER_API_KEY=lr_key_... listriver-mcp.

Notes

  • Every business returned counts against your records each time it is returned; repeated or overlapping searches count again. Counting is free.
  • Phone, email, NAICS and county are on file for only part of the records, and coverage varies by state.
  • The data is for your own business use, not for resale or for credit, insurance, employment or housing decisions (ListRiver API agreement).
  • More: API documentation - [email protected]

MIT license.

來源：mcp/README.md，提交 7ea090c

工具

3

list_states

List the states ListRiver covers, with how many businesses each has: formed this month or last ("recent"), in the last 12 months ("year"), and every active business ("all"). Free.

無需輸入參數。

count_businesses

Count businesses matching the filters, per state. Free: use it before search_businesses. Args: states: Comma-separated two-letter registration states, e.g. "FL" or "FL,TX". Required with city, county or zip. city: Comma-separated business cities, e.g. "MIAMI". county: Comma-separated counties, e.g. "MIAMI-DADE" (or "FL:MIAMI-DADE"). zip: Comma-separated 5-digit ZIP codes or 3-digit ZIP prefixes, e.g. "33139,331". naics: Comma-separated NAICS prefixes, 2-6 digits, e.g. "23" (construction) or "722511". entity_type: Comma-separated of LLC, CORP, LP, LLP, NONPROFIT, OTHER. has_phone: Only businesses with a phone number on file. has_email: Only businesses with an email on file. formed_within: Formed in the current month or the N months before it (1 = this month or last). Set 0 for any formation date. formed_from: First formation month, "YYYY-MM" (overrides formed_within). formed_to: Last formation month, "YYYY-MM" (overrides formed_within).

輸入參數zipcitynaicscountystatesformed_tohas_emailhas_phoneentity_typeformed_fromformed_within

search_businesses

Get businesses matching the filters (same filters as count_businesses). USES THE USER'S RECORDS: each business returned counts, every time it is returned, so ask only for what the user needs. Args: states: Comma-separated two-letter registration states. Required with city, county or zip. city: Comma-separated business cities. county: Comma-separated counties. zip: Comma-separated 5-digit ZIP codes or 3-digit prefixes. naics: Comma-separated NAICS prefixes, 2-6 digits. entity_type: Comma-separated of LLC, CORP, LP, LLP, NONPROFIT, OTHER. has_phone: Only businesses with a phone number on file. has_email: Only businesses with an email on file. formed_within: Formed in the current month or the N months before it (1 = this month or last; 0 = any date). formed_from: First formation month, "YYYY-MM". formed_to: Last formation month, "YYYY-MM". limit: How many businesses to return, 1-100 (default 25). cursor: The cursor from a previous search_businesses answer, to get the next businesses of the same search.

輸入參數zipcitylimitnaicscountycursorstatesformed_tohas_emailhas_phoneentity_typeformed_from另有 1 個

版本歷史

1
  1. v0.1.0最新Nov 3, 2026

評分

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