Mcp B2b Reddit Conversation Monitor

com.mambabuilt由 mambabuilt.com 發布v1.0.2更新於 Nov 7, 2026

Tagged Reddit conversations about a company, its competitors, or a category, with summaries.

概覽

AI 產生的概覽

呼叫 Apify actor 抓取公開 Reddit 貼文與留言,針對某公司、其競品或某品類,回傳附標籤、情緒傾向與彙總列的結果。

可以做什麼
  • 依公司網域、品牌名稱與競品查找 Reddit 貼文和留言,標註抱怨、讚賞、比較、轉換、購買意圖等類型,並附情緒與意圖分數
  • 彙總某公司的提及次數、情緒分布、各競品聲量佔比與主要抱怨主題
  • 依品類關鍵字調查,回傳在兩則以上貼文中被討論的每家公司的彙總列
  • 在指定 subreddit 或某主題下找出反覆出現的問題,依主題分組,統計未獲回答的數量及回答中提到的工具
  • 可用相同 state_key 略過上次已回傳的資料列,或透過 Slack 相容 webhook 推送摘要
適用情境
適合 B2B 行銷、業務或產品研究:想了解 Reddit 使用者如何評價某品牌、競品或某品類,或某個細分領域中哪些問題長期無人回答。它是圍繞一個付費 Apify actor 的單一工具封裝,較適合按需調查,而非在助理內持續監控。
執行需求
需要 Node.js 18 或更新版本,以及 Claude Desktop、Cursor 等本機 MCP 用戶端。需要 Apify 帳號,並將 API token 設為 APIFY_TOKEN;沒有 token 時工具仍會列出,但呼叫時需要它。所有工作都在 Apify 上執行,需要網路存取。
安裝前請注意
執行依事件計費並計入你的 Apify 帳號(貼文列、留言列、彙總列及每次啟動費),費用隨貼文與留言上限增加;可用 max_charge_usd 設定費用上限。身分解析器另行計費,每網域 0.007 美元。選用的 webhook_url 會把摘要傳送到外部位址。標籤與情緒為規則判定,並非經驗證的分析。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp B2b Reddit Conversation Monitor,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

B2B Reddit Conversation Monitor MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[B2b Reddit Conversation Monitor MCP server]

An MCP server for the Mamba Labs B2B Reddit Conversation Monitor actor on Apify. Give it a company domain, product category keywords, or a topic. Each run reads public Reddit feeds and returns tagged threads and comments, plus summary rows: share of voice against competitors, the most discussed companies in a category, or recurring questions grouped by theme.

What's Inside

What it does

Three modes:

  • company: give company_domain (for example smartlead.ai). You get the threads and comments that name the brand or its competitors, each tagged complaint, praise, comparison, alternative_request, switching, buying_intent, feature_request, or question, with sentiment and a 0 to 100 intent score. A row gets displacement_signal true when one sentence names a competitor and complains about it, switches from it, or asks for an alternative to it. One company summary row carries mention counts, the sentiment split, share of voice per competitor, and the top complaint themes.
  • category: give category_keywords (for example cold email tools). You get the threads plus one row per company discussed in two or more threads, with mention counts, sentiment, and share of voice.
  • gap: give subreddits, a topic, or both. You get the questions people ask (is there a tool for, how do I, alternative to), grouped by theme, with how many went unanswered and which tools the answers named.

Tags, sentiment, and the score are rule based. Blocked or empty results come back free with a row_status saying so. All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

json
{  "mcpServers": {    "mamba-b2b-reddit-conversation-monitor": {      "command": "npx",      "args": [        "-y",        "@mambalabsdev/mcp-b2b-reddit-conversation-monitor"      ],      "env": {        "APIFY_TOKEN": "your-apify-token"      }    }  }}

Restart the client. The monitor_reddit_conversations tool appears.

Prerequisites

Example prompts

  • "What are people on Reddit saying about smartlead.ai versus Instantly in the last 60 days? Show the displacement signals."
  • "Which cold email tools get recommended most on Reddit this year?"
  • "What do people in r/sales and r/LeadGeneration keep asking for that nobody answers?"

Tool

monitor_reddit_conversations. One tool. Example arguments:

json
{  "mode": "company",  "company_domain": "smartlead.ai",  "brand_names": ["Smartlead"],  "competitors": ["Instantly", "lemlist"],  "since_days": "60"}

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.

InputTypeDescription
modestringcompany (default), category, or gap
company_domainstringCompany mode. One domain
domainsarrayCompany mode. Up to 50 domains
brand_namesarrayCompany mode. Names to search for; empty resolves them from the domain
product_namesarrayCompany mode. Product names beside the brand
competitorsarrayCompany mode. Competitor names; empty discovers them
discover_competitorsstringtrue or false. Default true
max_competitorsstring0 to 5. Default 5
use_identity_resolverstringtrue runs Mamba Labs Company Identity Resolver when brand_names is empty, charged by Apify at its own price (0.007 USD per domain). Default true
category_keywordsarrayCategory mode. Product lane phrases
known_companiesarrayCategory and gap modes. Names to always count
topicstringGap mode. What the questions are about
topic_termsarrayGap mode. More search phrases for the same need
subredditsarrayLimit searches to these subreddits
exclude_subredditsarrayDrop rows from these subreddits
vendor_subredditsstringexclude (default) or flag. A vendor's own subreddit is dropped, or kept with vendor_subreddit true and out of every count
discover_subredditsstringGap mode. Default true
since_daysstringDate window in days. Default 90
max_threadsstringThread rows per input, up to 1000. Default 100
include_commentsstringComment rows. Default true in company and gap, false in category
max_comment_threadsstringThreads opened for comments. Default 20, 30 in category, 50 in gap
max_comments_per_threadstringDefault 25
comment_depthstringDefault 2
include_hacker_newsstringDefault false
max_charge_usdstringOptional cost cap for the run
only_newstringSkip rows an earlier run with the same state_key returned. Default false
state_keystringNames the seen list
webhook_urlstringOptional https URL for a Slack compatible POST
webhook_top_nstringDefault 10
proxy_modestringauto or residential. Default auto

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

EventFree planBronzeSilverGold
thread-row, per thread row$0.0018$0.0017$0.0016$0.0015
comment-row, per comment row$0.001$0.00095$0.0009$0.00085
summary-row, per company summary, category company, or question theme row$0.003$0.00285$0.0027$0.00255
apify-actor-start, per run start$0.0005$0.0005$0.0005$0.0005

Blocked, error, and no results rows, and rows skipped by only_new, are free.

Your keys

The actor needs no key. It reads public Reddit feeds and holds no Reddit key or any other key. Proxy traffic adds nothing to your price: Mamba Labs pays the platform costs of the run. proxy_mode is a reliability setting.

Full actor documentation

apify.com/mambalabs/b2b-reddit-conversation-monitor

License

MIT. See LICENSE.

來源:README.md,提交 0c10688

工具

1

monitor_reddit_conversations

Monitor Reddit conversations

Find Reddit conversations about a company, its competitors, a product category, or a topic, read from public Reddit feeds. mode company: give company_domain (for example smartlead.ai) and get thread and comment rows that name the brand or its competitors, each tagged complaint, praise, comparison, alternative_request, switching, buying_intent, feature_request, or question, with sentiment, a 0 to 100 intent score, and a displacement_signal when a competitor draws a complaint, switch, or alternative request, plus one company summary row with share of voice per competitor. mode category: give category_keywords (for example cold email tools) and get the companies discussed most, with mention counts and sentiment. mode gap: give subreddits and or a topic and get recurring questions grouped by theme, with unanswered counts and the tools the answers named. Tags are rule based. Blocked or empty results come back free with a row_status saying so. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per thread, comment, and summary row returned.

輸入參數modetopicdomainsonly_newstate_keyproxy_modesince_dayssubredditsbrand_namescompetitorsmax_threadstopic_terms另有 18 個

版本歷史

2
  1. v1.0.2最新Nov 5, 2026
  2. v1.0.1Oct 20, 2026

評分

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該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

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