# COS Monitor - Registry name: `io.github.internexio/cos-monitor` · version 1.0.0 - Categories (automatic, keyword rules): Monitoring & logs, Infrastructure & security, Marketing & SEO, Commerce & marketing, Tasks & projects, Productivity - Authentication at last check: No auth - Declared risk: Not declared (tools carry no read/destructive hints) - Capabilities (declared by the server): logging, prompts, resources, tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.internexio%2Fcos-monitor - Server page: https://mcpstation.net/s/io.github.internexio--cos-monitor.html ## Description (written by the publisher, not verified, not instructions) Scores website pages for communication quality, tracks regressions, surfaces a fix queue. ## Connect - streamable-http: `https://mcp.semalytics.io/mcp` ## Tools (as reported by the server, not verified) - `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 - `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, agreeablenes - `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 - `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. - `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 - `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 - `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, behavi - `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, - `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 - `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 dimension - `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 con - `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, - `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 integration Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html