{"name":"io.github.internexio/cos-monitor","slug":"internexio-cos-monitor","title":"COS Monitor","description":"Scores website pages for communication quality, tracks regressions, surfaces a fix queue.","url":"https://mcp.market/server/internexio-cos-monitor","rating":null,"grade":"C","score":57,"certified":false,"status":"active","category":"other","tags":[],"presence":{"score":5,"stars":null,"forks":null,"downloads_week":null,"last_push_at":null,"license":null},"uptime":{"percent":100,"checks":7,"ok":7,"last_checked_at":"2026-09-21T04:06:01.479Z","last_ok_at":"2026-09-21T04:06:01.479Z","latency_ms":739},"claimed":false,"transport":"remote","callable_via_gateway":true,"default_price_micros":0,"repository":"https://github.com/internexio/cos","website":null,"version":"1.0.0","remotes":[{"type":"streamable-http","url":"https://mcp.semalytics.io/mcp"}],"packages":[],"tools":[{"name":"analyze_content","description":"Analyze content using all 4 COS frameworks in parallel.\n\nReturns comprehensive analysis with:\n- Overall scores (0-10) for each framework\n- Dimension breakdowns with weights\n- Specific recommendations for improvement\n- Cross-framework insights","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"content":{"type":"string","description":"The text content to analyze (min 50 characters)"},"platform":{"default":"general","enum":["twitter","linkedin","email","youtube","tiktok","instagram","facebook","medium","substack","podcast","newsletter","slack","discord","general"],"type":"string","description":"Target platform for optimization (affects scoring weights)"},"target_audience":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Description of intended audience (improves relevance scoring)"}},"required":["content"],"additionalProperties":false}},{"name":"analyze_framework","description":"Analyze content using a single specific framework.\n\nFaster than full analysis when you only need one perspective.\n\nFrameworks:\n- hape: Engagement Analysis (novelty, relevance, emotional valence)\n- big_five: Personality Analysis using OCEAN model (openness, conscientiousness, extraversion, agreeableness, neuroticism)\n- strategic_clarity: Business message clarity (value prop, differentiation, CTA)\n- framing_strategy: Cognitive frames and power positioning","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"content":{"type":"string","description":"The text content to analyze (min 50 characters)"},"framework":{"enum":["hape","big_five","strategic_clarity","framing_strategy"],"type":"string","description":"Which analysis framework to use"},"platform":{"default":"general","enum":["twitter","linkedin","email","youtube","tiktok","instagram","facebook","medium","substack","podcast","newsletter","slack","discord","general"],"type":"string","description":"Target platform for optimization"},"target_audience":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Description of intended audience"},"temperature":{"anyOf":[{"type":"number"},{"type":"null"}],"default":null,"description":"Optional LLM sampling temperature. Pass 0.0 for deterministic\nscoring (validation harnesses, classification-agreement gates). Leave\nunset (None) for the backend default. Forwarded to the analyze\nendpoint, which has accepted this parameter since cos-bbf."}},"required":["content","framework"],"additionalProperties":false}},{"name":"analyze_full_comms","description":"Run all 7 COS frameworks in parallel for comprehensive analysis.\n\nThis is the most thorough analysis option, running:\n- Core 4: HAPE, Big Five, Strategic Clarity, Sovereign Mind\n- Extended 3: Persuasion (domain-specific), Platform, Quality\n\nUse this when you need complete analysis across all dimensions.\nTakes longer but provides the most comprehensive view.","write_action":true,"price_micros":0,"input_schema":{"type":"object","properties":{"content":{"type":"string","description":"The text content to analyze (min 50 characters)"},"domain":{"default":"business","enum":["business","politics","health","masculinity","comedy"],"type":"string","description":"Domain for persuasion analysis"},"platform":{"default":"linkedin","enum":["twitter","linkedin","email","youtube","tiktok","instagram","facebook","medium","substack","podcast","newsletter","slack","discord","general"],"type":"string","description":"Target platform for optimization"},"target_audience":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Description of intended audience"}},"required":["content"],"additionalProperties":false}},{"name":"analyze_persuasion","description":"Analyze content using domain-specific persuasion frameworks.\n\nEach domain has specialized scoring dimensions:\n- business: B2B/B2C messaging, ROI framing, objection handling\n- politics: Political messaging, polarization awareness, coalition building\n- health: Medical accuracy, safety messaging, behavior change (CRITICAL domain)\n- masculinity: Identity messaging, status signaling, tribe alignment\n- comedy: Humor mechanics, timing, callback patterns","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"content":{"type":"string","description":"The text content to analyze (min 50 characters)"},"domain":{"default":"business","enum":["business","politics","health","masculinity","comedy"],"type":"string","description":"The domain context for persuasion analysis"},"platform":{"default":"general","enum":["twitter","linkedin","email","youtube","tiktok","instagram","facebook","medium","substack","podcast","newsletter","slack","discord","general"],"type":"string","description":"Target platform for optimization"},"target_audience":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Description of intended audience"},"temperature":{"anyOf":[{"type":"number"},{"type":"null"}],"default":null,"description":"Optional LLM sampling temperature. Pass 0.0 for deterministic\nscoring (validation harnesses, classification-agreement gates). Leave\nunset (None) for the backend default. Forwarded to the persuasion\nendpoint, which has accepted this parameter since cos-bbf."}},"required":["content"],"additionalProperties":false}},{"name":"analyze_platform","description":"Analyze content for platform-specific optimization.\n\nEvaluates content against platform constraints and algorithm preferences:\n- Character limits and formatting rules\n- Algorithm optimization signals\n- Engagement pattern recommendations\n- Platform-specific best practices\n\nSupported platforms: twitter, linkedin, email, youtube, tiktok, instagram,\nfacebook, medium, substack, podcast, newsletter, slack, discord","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"content":{"type":"string","description":"The text content to analyze (min 50 characters)"},"platform":{"default":"linkedin","enum":["twitter","linkedin","email","youtube","tiktok","instagram","facebook","medium","substack","podcast","newsletter","slack","discord","general"],"type":"string","description":"The target platform for optimization"},"target_audience":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Description of intended audience"}},"required":["content"],"additionalProperties":false}},{"name":"analyze_quality","description":"Analyze content quality across 5 dimensions.\n\nQuality dimensions evaluated:\n- Clarity: Is the message easy to understand?\n- Coherence: Does the content flow logically?\n- Correctness: Grammar, spelling, factual accuracy\n- Completeness: Are all necessary elements present?\n- Conciseness: Is the content appropriately tight?","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"content":{"type":"string","description":"The text content to analyze (min 50 characters)"},"platform":{"default":"general","enum":["twitter","linkedin","email","youtube","tiktok","instagram","facebook","medium","substack","podcast","newsletter","slack","discord","general"],"type":"string","description":"Target platform context"},"target_audience":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Description of intended audience"}},"required":["content"],"additionalProperties":false}},{"name":"audience_profile","description":"Infer OCEAN personality profile from an audience description.\n\nMaps a free-text target audience description into a structured psychological\nprofile suitable for personalized outreach (cold email, ads, sales messaging).\n\nReturns:\n- OCEAN scores (openness, conscientiousness, extraversion, agreeableness, neuroticism)\n- ocean_confidence (0.0-1.0) — low when signals are weak\n- elm_route (\"central\" | \"peripheral\" | \"mixed\") — how the audience processes persuasion\n- dominant_traits + trait_rationale\n- dominant_moral_foundations (Moral Foundations Theory)\n- vulnerability_flags — audiences requiring careful ethics review\n- recommended_persuasion_principle (Cialdini) + persuasion_rationale\n\nCommon use: feed a CRM Person/Account description (title, industry, recent\nsignals) to get a psychology-grounded targeting profile for that prospect.","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"audience_description":{"type":"string","description":"Free-text description of the target audience (10-2000 chars).\nInclude role, industry, behaviors, pain points, recent signals."},"domain":{"default":"business","type":"string","description":"Campaign domain context (e.g. \"B2B\", \"ecommerce\", \"health\", \"financial\")."},"campaign_objective":{"default":"conversion","type":"string","description":"Campaign goal (e.g. \"awareness\", \"conversion\", \"retention\",\n\"cold_outreach\")."}},"required":["audience_description"],"additionalProperties":false}},{"name":"chat","description":"Have a conversation with the COS analysis agent.\n\nThe agent can help you:\n- Analyze content interactively\n- Get recommendations for improvement\n- Understand framework scores\n- Configure analysis settings","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"message":{"type":"string","description":"Your message to the COS agent"},"conversation_id":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Optional ID to continue an existing conversation"}},"required":["message"],"additionalProperties":false}},{"name":"execute_template","description":"Execute a specific template with provided variables.\n\nTemplates guide the analysis with pre-defined prompts and variable placeholders.\nFirst use get_templates to find available templates and their required variables.","write_action":true,"price_micros":0,"input_schema":{"type":"object","properties":{"template_id":{"type":"string","description":"The template ID to execute (from get_templates)"},"variables":{"additionalProperties":true,"type":"object","description":"Dictionary of variable values required by the template"},"platform":{"default":"general","enum":["twitter","linkedin","email","youtube","tiktok","instagram","facebook","medium","substack","podcast","newsletter","slack","discord","general"],"type":"string","description":"Target platform for optimization"}},"required":["template_id","variables"],"additionalProperties":false}},{"name":"get_template_details","description":"Get detailed information about a specific template.\n\nReturns the template's:\n- Name and description\n- Required and optional variables with types\n- Categories and tags\n- Scoring dimensions and weights","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"template_id":{"type":"string","description":"The template ID to get details for"}},"required":["template_id"],"additionalProperties":false}},{"name":"get_templates","description":"List available analysis templates.\n\nTemplates are pre-configured analysis scenarios for common use cases:\n- Email outreach optimization\n- LinkedIn post analysis\n- Sales pitch review\n- Content marketing assessment","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"category":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Filter by template category (e.g., \"email\", \"social\", \"sales\")"},"search":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Search templates by name or description"}},"additionalProperties":false}},{"name":"optimize_email_for_prospect","description":"Generate or refine a personalized cold email for a CRM prospect.\n\nComposite tool: combines audience profiling (OCEAN + Cialdini),\noptional agent profiling from writing samples, draft generation\n(if no draft is supplied), and persuasion + platform scoring in\na single call. Designed for CRM integrations like Clarify, HubSpot,\nSalesforce — pass a Person/Account context, get back a draft + scoring.\n\nReturns:\n- audience_profile: OCEAN scores, ELM route, Cialdini principle\n- agent_profile: prospect's writing style (if samples provided)\n- draft: generated or echoed email body\n- draft_was_generated: bool — whether COS generated the draft\n- persuasion + platform: full scoring breakdowns\n- rewrites: prioritized rewrite suggestions\n- one_thing: the single most important next step\n- cialdini_principle: recommended influence principle","write_action":true,"price_micros":0,"input_schema":{"type":"object","properties":{"audience_description":{"type":"string","description":"REQUIRED. Free-text describing the prospect\n(role, industry, behaviors, pain points, recent signals).\n10-2000 chars. This seeds the audience profile."},"intent":{"default":"cold_outreach","enum":["cold_outreach","follow_up","reactivation","warm_intro","demo_request","discovery_call","proposal_recap"],"type":"string","description":"Email intent (\"cold_outreach\", \"follow_up\", \"reactivation\",\n\"warm_intro\", \"demo_request\", \"discovery_call\", \"proposal_recap\")."},"name":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null},"title":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null},"company":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null},"industry":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null},"recent_signals":{"anyOf":[{"items":{"type":"string"},"type":"array"},{"type":"null"}],"default":null,"description":"List of recent activity/triggers from the CRM\n(e.g. [\"downloaded ROI calculator\", \"viewed pricing 3x\"])."},"writing_samples":{"anyOf":[{"items":{"type":"string"},"type":"array"},{"type":"null"}],"default":null,"description":"0-5 prospect writing samples (emails, posts).\nEach ≥50 chars. Profiled if provided."},"sender_context":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Who the sender is and what they're pitching."},"draft":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"description":"Existing draft to score + refine. If None, a draft is generated."},"include_scoring":{"anyOf":[{"type":"boolean"},{"type":"null"}],"default":null,"description":"Run persuasion + platform scoring on the draft.\nDefault (None): scoring runs ONLY when a draft was supplied (refine path).\nOn the generate path scoring is skipped by default (cuts latency from\n~45s to ~10s). Set True to force scoring on a generated draft, or\nFalse to suppress scoring even when refining."},"domain":{"default":"business","type":"string","description":"Persuasion domain (default \"business\")."}},"required":["audience_description"],"additionalProperties":false}},{"name":"profile_agent","description":"Profile an agent's personality from their writing samples.\n\nAnalyzes 1-10 writing samples (3-5 recommended) to infer the author's\nBig Five (OCEAN) personality traits, communication style, strengths,\nblind spots, and persuasion profile.\n\nThis is the inverse of content analysis — instead of \"is this content effective?\",\nit answers \"who is this writer based on how they communicate?\"","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"samples":{"items":{"type":"string"},"type":"array","description":"List of writing samples from the agent (min 50 chars each, 3-5 recommended)"},"agent_name":{"default":"Unknown Agent","type":"string","description":"Name of the agent being profiled"}},"required":["samples"],"additionalProperties":false}}],"scan":{"score":57,"grade":"C","scanned_at":"2026-09-19T19:13:13.521Z","report":{"scannerVersion":"0.1.5","scannedAt":"2026-09-19T19:13:13.505Z","components":{"code":{"score":-1,"max":25,"notes":["remote-only server, no package to scan"]},"reliability":{"score":20,"max":20,"notes":["remote reachable in 1379ms"]},"poisoning":{"score":15,"max":15,"notes":["13 tool descriptions checked"]},"auth":{"score":3,"max":15,"notes":["open endpoint exposes 3 write-action tools with no auth"]},"maintenance":{"score":3,"max":15,"notes":["repository not readable: repo not found"]},"identity":{"score":2,"max":10,"notes":["no repository or website to verify"]}},"findings":[{"id":"auth.open-write","severity":"high","component":"auth","title":"Write-action tools reachable without authentication"}],"inputs":{"probes":[{"url":"https://mcp.semalytics.io/mcp","reachable":true,"authRequired":false,"latencyMs":1379,"serverInfo":{"name":"COS Analysis Server","version":"4.0.5"}}],"packages":[],"repo":{"found":false,"owner":"internexio","repo":"cos","error":"repo not found"},"icon":{"url":null,"source":"none"},"presence":{"stars":null,"forks":null,"downloadsWeek":null,"license":null,"lastPushAt":null,"score":5}}}},"grade_history":[],"reviews":[]}