COS Monitor

io.github.internexio由 GitHub 帳號 internexio 發布v1.0.0更新於 Oct 28, 2026

Scores website pages for communication quality, tracks regressions, surfaces a fix queue.

已驗證Streamable HTTP可網頁執行資料與分析商業與電商媒體與設計

概覽

AI 產生的概覽

遠端 MCP 伺服器,以多種溝通框架為文案與觸達訊息評分,並提供改善建議。

可以做什麼
  • 以核心 COS 框架或單一框架(如 HAPE 吸引力、大五人格)分析內容
  • 執行延伸分析:依領域評估說服力、依平台最佳化、以及五面向品質評估
  • 列出、檢視並執行預設範本,涵蓋郵件觸達、LinkedIn 貼文、銷售話術與內容行銷
  • 依寫作樣本推斷作者人格,並依受眾描述推斷 OCEAN 輪廓
  • 一次呼叫即可為 CRM 潛在客戶產生或潤飾個人化冷郵件
  • 與分析代理對話,了解評分與改善建議
適用情境
適合在撰寫或審閱行銷文案、冷郵件、社群貼文與銷售話術時,取得結構化評分、面向拆解與具體改善建議。也適合在個人化觸達前對受眾或作者做輪廓分析。
執行需求
遠端 streamable HTTP 端點 mcp.semalytics.io;未宣告任何套件、環境變數或標頭。待分析內容會提交給該服務。
安裝前請注意
提交的內容(包括寫作樣本、潛在客戶或受眾描述)會傳送至第三方服務進行分析。未宣告任何身分驗證,傳送機密草稿或個人資料前請先確認服務方的資料處理方式。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 COS 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。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.internexio%2Fcos-monitor/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "cos-monitor": {
      "type": "http",
      "url": "https://mcp.semalytics.io/mcp"
    }
  }
}

README

該儲存庫沒有 README。

工具

13

analyze_content

Analyze Content

Analyze content using all 4 COS frameworks in parallel. Returns comprehensive analysis with: - Overall scores (0-10) for each framework - Dimension breakdowns with weights - Specific recommendations for improvement - Cross-framework insights

輸入參數content必填platformtarget_audience

analyze_framework

Analyze Framework

Analyze content using a single specific framework. Faster than full analysis when you only need one perspective. Frameworks: - hape: Engagement Analysis (novelty, relevance, emotional valence) - big_five: Personality Analysis using OCEAN model (openness, conscientiousness, extraversion, agreeableness, neuroticism) - strategic_clarity: Business message clarity (value prop, differentiation, CTA) - framing_strategy: Cognitive frames and power positioning

輸入參數content必填platformframework必填temperaturetarget_audience

get_templates

Get Templates

List available analysis templates. Templates are pre-configured analysis scenarios for common use cases: - Email outreach optimization - LinkedIn post analysis - Sales pitch review - Content marketing assessment

輸入參數searchcategory

execute_template

Execute Template

Execute a specific template with provided variables. Templates guide the analysis with pre-defined prompts and variable placeholders. First use get_templates to find available templates and their required variables.

輸入參數platformvariables必填template_id必填

chat

Chat

Have a conversation with the COS analysis agent. The agent can help you: - Analyze content interactively - Get recommendations for improvement - Understand framework scores - Configure analysis settings

輸入參數message必填conversation_id

get_template_details

Get Template Details

Get detailed information about a specific template. Returns the template's: - Name and description - Required and optional variables with types - Categories and tags - Scoring dimensions and weights

輸入參數template_id必填

analyze_persuasion

Analyze Persuasion

Analyze content using domain-specific persuasion frameworks. Each domain has specialized scoring dimensions: - business: B2B/B2C messaging, ROI framing, objection handling - politics: Political messaging, polarization awareness, coalition building - health: Medical accuracy, safety messaging, behavior change (CRITICAL domain) - masculinity: Identity messaging, status signaling, tribe alignment - comedy: Humor mechanics, timing, callback patterns

輸入參數domaincontent必填platformtemperaturetarget_audience

analyze_platform

Analyze Platform

Analyze content for platform-specific optimization. Evaluates content against platform constraints and algorithm preferences: - Character limits and formatting rules - Algorithm optimization signals - Engagement pattern recommendations - Platform-specific best practices Supported platforms: twitter, linkedin, email, youtube, tiktok, instagram, facebook, medium, substack, podcast, newsletter, slack, discord

輸入參數content必填platformtarget_audience

analyze_quality

Analyze Quality

Analyze content quality across 5 dimensions. Quality dimensions evaluated: - Clarity: Is the message easy to understand? - Coherence: Does the content flow logically? - Correctness: Grammar, spelling, factual accuracy - Completeness: Are all necessary elements present? - Conciseness: Is the content appropriately tight?

輸入參數content必填platformtarget_audience

analyze_full_comms

Analyze Full Comms

Run all 7 COS frameworks in parallel for comprehensive analysis. This is the most thorough analysis option, running: - Core 4: HAPE, Big Five, Strategic Clarity, Sovereign Mind - Extended 3: Persuasion (domain-specific), Platform, Quality Use this when you need complete analysis across all dimensions. Takes longer but provides the most comprehensive view.

輸入參數domaincontent必填platformtarget_audience

profile_agent

Profile Agent

Profile an agent's personality from their writing samples. Analyzes 1-10 writing samples (3-5 recommended) to infer the author's Big Five (OCEAN) personality traits, communication style, strengths, blind spots, and persuasion profile. This is the inverse of content analysis — instead of "is this content effective?", it answers "who is this writer based on how they communicate?"

輸入參數samples必填agent_name

audience_profile

Audience Profile

Infer OCEAN personality profile from an audience description. Maps a free-text target audience description into a structured psychological profile suitable for personalized outreach (cold email, ads, sales messaging). Returns: - OCEAN scores (openness, conscientiousness, extraversion, agreeableness, neuroticism) - ocean_confidence (0.0-1.0) — low when signals are weak - elm_route ("central" | "peripheral" | "mixed") — how the audience processes persuasion - dominant_traits + trait_rationale - dominant_moral_foundations (Moral Foundations Theory) - vulnerability_flags — audiences requiring careful ethics review - recommended_persuasion_principle (Cialdini) + persuasion_rationale Common use: feed a CRM Person/Account description (title, industry, recent signals) to get a psychology-grounded targeting profile for that prospect.

輸入參數domaincampaign_objectiveaudience_description必填

optimize_email_for_prospect

Optimize Email For Prospect

Generate or refine a personalized cold email for a CRM prospect. Composite tool: combines audience profiling (OCEAN + Cialdini), optional agent profiling from writing samples, draft generation (if no draft is supplied), and persuasion + platform scoring in a single call. Designed for CRM integrations like Clarify, HubSpot, Salesforce — pass a Person/Account context, get back a draft + scoring. Returns: - audience_profile: OCEAN scores, ELM route, Cialdini principle - agent_profile: prospect's writing style (if samples provided) - draft: generated or echoed email body - draft_was_generated: bool — whether COS generated the draft - persuasion + platform: full scoring breakdowns - rewrites: prioritized rewrite suggestions - one_thing: the single most important next step - cialdini_principle: recommended influence principle

輸入參數namedrafttitledomainintentcompanyindustryrecent_signalssender_contextinclude_scoringwriting_samplesaudience_description必填

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

評分

已滿足適用檢查項的 75%

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。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款10 分

    請在儲存庫或註冊中心條目中宣告授權條款。