Search / io.github.internexio/cos-monitor
COS Monitor
R0· no sign-inScores website pages for communication quality, tracks regressions, surfaces a fix queue.
v1.0.0 · active · repository · descriptor JSON · versions
Search / io.github.internexio/cos-monitor
R0· no sign-inScores website pages for communication quality, tracks regressions, surfaces a fix queue.
v1.0.0 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"cos-monitor": {
"type": "http",
"url": "https://mcp.semalytics.io/mcp"
}
}
}claude mcp add --transport http cos-monitor https://mcp.semalytics.io/mcp[mcp_servers.cos-monitor]
url = "https://mcp.semalytics.io/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"cos-monitor": {
"type": "remote",
"url": "https://mcp.semalytics.io/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"cos-monitor": {
"type": "http",
"url": "https://mcp.semalytics.io/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=cos-monitor&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnNlbWFseXRpY3MuaW8vbWNwIn0%3D"
}{
"servers": {
"cos-monitor": {
"type": "http",
"url": "https://mcp.semalytics.io/mcp"
}
}
}{
"mcpServers": {
"cos-monitor": {
"httpUrl": "https://mcp.semalytics.io/mcp"
}
}
}extensions:
"cos-monitor":
enabled: true
name: "cos-monitor"
type: streamable_http
uri: "https://mcp.semalytics.io/mcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every useauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky onestools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: analyze_framework (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze_quality (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze_full_comms (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …tools.token_costabout 3,600 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +reachable +uptime-99% ~updated-41d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://mcp.semalytics.io/mcp streamable-http | none | yes | 99% | 462 ms | 2026-07-28 | 2026-10-20 |
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, agreeableness, neuroticism) - strategic_clarity: Business message clarity (value prop, differentiation, CTA) - framing_strategy: Cognitive frames and power positioning |
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. |
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 |
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 |
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? |
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. |
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 |
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. |
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 |
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 |
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 |
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?" |
Schemas: list_tools.
{
"name": "io.github.internexio/cos-monitor",
"title": "COS Monitor",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.semalytics.io/mcp",
"type": "streamable-http"
}
],
"version": "1.0.0",
"repository": {
"url": "https://github.com/internexio/cos",
"source": "github",
"subfolder": "backend/app/api"
},
"description": "Scores website pages for communication quality, tracks regressions, surfaces a fix queue."
}