listingsAPI MCP

com.listingsapiv1.0.0更新于 Sep 29, 2026

Manage business listings, reviews, posts and local analytics across 50 plus sites

已验证Streamable HTTP可网页运行Data & AnalyticsBusiness & Commerce

概览

AI 生成的概览

让助手通过 Listings API 管理 50 多个目录、地图和搜索引擎上的商家信息、评论、帖子和本地分析数据。

功能
把 Listings API 封装为一组 MCP 工具,覆盖门店、列表与引用、评论、帖子和分析。助手可以创建、更新、搜索和归档门店及其照片;查看哪些发布渠道已收录某条列表,并标记重复项以便抑制;读取评论并发布、编辑或归档回复;向已连接的资料页发布公告、活动和优惠,包括一次批量推送到多个门店;并按日期范围获取 Google、Facebook 和 Bing 的表现数据。已连接账号操作可关联 Google 或 Facebook 资料页并将其与门店匹配。
适用场景
适合需要在众多目录中保持门店数据一致的代理商、多门店品牌和连锁体系,并希望以对话方式处理这些数据。适用于查看和回复评价、发布帖子、检查引用覆盖与重复项,以及比较本地表现指标。
运行要求
需要 Listings API 账号和 API 密钥,通过 Authorization 头以 API 形式发送;也支持 OAuth 2.0 持有者令牌。远程 streamable HTTP 端点,无需安装。付费方案每月 99 美元起,含 14 天试用;有时提供 24 小时沙盒日票。写操作需要具有 Write 权限的密钥;速率限制取决于方案。
安装前请注意
写操作是真实的:回复会公开显示在评论网站上,帖子会发布到已连接的资料页,删除帖子会将其移除。Authorization 头携带密钥。日票注册会收集姓名、邮箱和公司信息,并需要邮件确认。列表创建是异步的,返回成功并不代表列表已上线。分析和回复需要已连接并匹配的 Google 或 Facebook 资料页。

安装

在 SourceWeft 中

  1. 打开 控制台中的 listingsAPI MCP,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "mcp": {
      "type": "http",
      "url": "https://listingsapi.com/mcp"
    }
  }
}

README

[ListingsAPI]

Listings API MCP

Connect any MCP capable AI assistant to the Listings API and manage business listings, reviews, posts and local analytics across 50 plus directories, maps and search engines.

Website · API docs · MCP page · Get an API key · Apify actors


What the Listings API is

Local search runs on business data. A shop, a clinic or a franchise outlet has a name, an address, a phone number, opening hours, categories and photos, and that data has to be identical on Google, Apple Maps, Bing, Facebook, Yelp, the voice assistants and dozens of smaller directories before search engines trust it enough to rank it. Keeping that data consistent by hand does not scale past a handful of locations.

The Listings API is a REST API that does this job. You store each location once, and the API syncs it to more than 50 publishers, tracks where each listing is live, finds and suppresses duplicates, pulls in the reviews those listings collect, lets you reply to them, publishes posts and offers to the connected profiles, and returns the performance data Google, Facebook and Bing report back. Agencies, multi location brands and franchise systems use it to run local presence for hundreds or thousands of locations from one place.

What this MCP server is

The Model Context Protocol lets an AI assistant call external tools. This server exposes the Listings API as a set of MCP tools, so an assistant such as Claude, Cursor, Windsurf, Gemini CLI or Cline can look up your locations, read your reviews, draft and publish replies, schedule posts and pull analytics in plain conversation, using your own account and your own data.

It is a remote server. It runs at https://listingsapi.com/mcp and speaks the streamable HTTP transport. There is nothing to install, nothing to build and no package to keep up to date. You point your client at the URL, hand it your API key, and the tools appear.

https://listingsapi.com/mcp

What you can do with it

Once connected, the assistant can work across five areas of your account.

Locations. Create a location with its full profile, update any field, search by name or store code, fetch a set of locations by ID, archive locations you no longer operate, and upload, star or remove the photos attached to each one. This is the master record that everything else keys off.

Listings and citations. See which publishers currently carry a location and what state each listing is in, list the sites your plan covers, pull the duplicate listings the network has detected for one location or for your whole account, and mark a listing as a duplicate so it gets suppressed, or clear that flag if the match was wrong. Voice assistant coverage is reported separately.

Reviews. Pull every review for a location with its rating, author, text, date and source site, fetch specific reviews by ID, read the review analytics overview for a location, and roll review counts up across the whole account to find the stores with the most unanswered feedback. Then publish a reply, edit it, or archive it. Replies go live on the review site.

Posts. Publish an announcement, an event or an offer to a location's Google Business Profile, Facebook Page, Instagram and X, or fan one post out to many locations in a single bulk call and read back the per publisher result. List what has already been published and delete a post that should come down.

Analytics. Read Google, Facebook and Bing performance for any location: search views, map views, direction requests, calls, website clicks and the rest, for whatever date range you ask about.

There is also a set of connected account operations for linking a Google or Facebook account, matching its profiles to your locations and creating a brand new Google Business Profile listing for a location that has none.

Example requests

Once the server is connected, these are the kinds of things you can ask your assistant.

  • "List every location we have in Texas and tell me which ones are missing a phone number."
  • "Show me all reviews under three stars from the last week across every store, grouped by location."
  • "Draft a reply to the latest Google review for the Austin store, keep it under 60 words, and post it."
  • "Publish an offer post about 20 percent off servicing to every location in the Northeast region, running through the end of the month."
  • "Compare direction requests and phone calls for our top ten stores this month against last month."
  • "Which of our locations still do not have a Google Business Profile listing?"

What you need

A Listings API account and an API key. Create one at listingsapi.com/pricing. Plans start at 99 dollars a month and every plan includes a 14 day trial.

Try it free with a day pass

When the sandbox day pass is offered, you can try the server for 24 hours with no card. A day pass covers the locations and listings tools for up to two locations, and its listings sync only to listingsAPI demo directories, never to real publishers. Start it at listingsapi.com/signup?plan=day-pass, or let your AI agent start it for you: it signs up with your name, email and company, and you confirm with the link or the 6-digit code we email you. The day pass guide has the details and the live status.

Keys carry an access level. A key with Read access covers every lookup and report. Creating and updating locations, replying to reviews, publishing posts and connecting accounts need a key with Write access.

The server accepts two ways of authenticating:

MethodHeaderUse it when
API keyAuthorization: API <your-key>You are configuring a personal client and want the simplest setup
OAuth 2.0Authorization: Bearer <access-token>You are building a product on top and want per user consent

Every example below uses the API key method.

Setup

Replace <your-api-key> with your real key in each snippet.

Claude Code

bash
claude mcp add --transport http listingsapi https://listingsapi.com/mcp --header "Authorization: API <your-api-key>"

Claude Desktop

Open Settings, then Connectors, then Add custom connector, and enter https://listingsapi.com/mcp as the URL. Claude Desktop will prompt for authentication when the server first requests it.

Cursor

Add to ~/.cursor/mcp.json, or to .cursor/mcp.json inside a project:

json
{  "mcpServers": {    "listingsapi": {      "url": "https://listingsapi.com/mcp",      "headers": { "Authorization": "API <your-api-key>" }    }  }}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

json
{  "mcpServers": {    "listingsapi": {      "serverUrl": "https://listingsapi.com/mcp",      "headers": { "Authorization": "API <your-api-key>" }    }  }}

Gemini CLI

Install this repository as an extension, then export your key:

bash
gemini extensions install https://github.com/listings-api/listingsapi-mcpexport LISTINGSAPI_API_KEY="<your-api-key>"

Cline

Open the MCP Servers panel and add a remote server with the URL https://listingsapi.com/mcp and the header Authorization: API <your-api-key>. The file llms-install.md in this repository gives Cline the same instructions in a form it can follow on its own.

VS Code with GitHub Copilot

Add to .vscode/mcp.json:

json
{  "servers": {    "listingsapi": {      "type": "http",      "url": "https://listingsapi.com/mcp",      "headers": { "Authorization": "API <your-api-key>" }    }  }}

Any other client

Use the streamable HTTP transport with the endpoint and header above. The server does not require SSE.

Rate limits

Requests are counted against your Listings API plan, not against this server. The Launch plan allows 10 requests per minute, Growth allows 50, and Enterprise limits are agreed per account. When you go over, the API answers with a 429 and a retry_after_seconds value that tells you how long to wait. Every error response also carries a correlation_id you can quote to support so they can find the exact request. Full detail is at listingsapi.com/docs/rate-limits.

A practical note: an assistant that is asked to "check every location" will happily issue a request per location. On the Launch plan that means a pause every ten calls, so scope the question or ask the assistant to work in batches.

Things worth knowing before you start

Connected profiles come first. Replying to a Google or Facebook review, publishing a post and reading publisher analytics all need the matching Google or Facebook profile connected to your account and matched to the location. If an analytics call comes back empty or a reply fails, an unmatched profile is the usual cause. Connect and match first, then run the workflow.

Listing creation is asynchronous. When you create a Google Business Profile listing, a successful response means the request was accepted, not that the listing is live. Google verifies and provisions on its own schedule. Check the listing status later rather than assuming it is up.

Writes are real. A reply published through this server appears publicly on the review site. A post goes live on the connected profiles. Treat write operations with the same care you would in the dashboard.

Location descriptions have a floor. A new location needs a description of at least 200 characters, which is the most common reason a create call fails on its first try.

Troubleshooting

SymptomLikely causeWhat to do
401 on every callKey is wrong, expired or pasted with a stray spaceRegenerate the key in the API Keys section of your dashboard and update the header
403 on a writeKey has Read access onlyIssue a key with Write access
429Plan rate limit reachedWait retry_after_seconds, or ask the assistant to work in smaller batches
Analytics come back emptyProfile not connected or not matched to the locationRun the connected accounts operations to link and match it
Reply accepted but not visibleReview site is still processing itGive it a few minutes and refresh the review

Documentation and support

About this repository

This repository holds the connection manifests that MCP directories and clients read, plus an agent skill for developers integrating the API into code. It contains no product code. The Listings API service itself is closed source and runs at listingsapi.com.

FileRead by
server.jsonThe official MCP Registry at registry.modelcontextprotocol.io
gemini-extension.jsonGemini CLI, when you install this repository as an extension
mcp.json and plugin.jsonCursor, for the marketplace listing
llms-install.mdCline, so it can configure the server on its own
logo.svgThis README and the directories above
listingsapi-integration/Coding agents such as Claude Code and Codex, as an agent skill for integrating the Listings API into an application. listingsapi-integration.zip is the same directory packaged for app directories that take a skill upload

License

The manifests in this repository are released under the MIT License. See LICENSE. Use of the Listings API itself is governed by the Listings API terms.

来源:README.md,提交 26b41ed

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版本历史

1
  1. v1.0.0最新Sep 29, 2026