Connect COS Monitor and your agent gets 13 tools, among them analyze_content, analyze_framework, analyze_full_comms. It answers at https://mcp.semalytics.io/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
Scores website pages for communication quality, tracks regressions, surfaces a fix queue.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 insight Inputs: content, platform, target_audience |
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 mo Inputs: content, framework, platform, target_audience, temperature |
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 U Inputs: content, domain, platform, target_audience |
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 b Inputs: content, domain, platform, target_audience, temperature |
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 - Pl Inputs: content, platform, target_audience |
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 al Inputs: content, platform, target_audience |
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 score Inputs: audience_description, domain, campaign_objective |
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 Inputs: message, conversation_id |
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. Inputs: template_id, variables, platform |
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 Inputs: template_id |
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 Inputs: category, search |
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 + pla Inputs: audience_description, intent, name, title, company, industry |
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 Inputs: samples, agent_name |
Every block below points at https://mcp.semalytics.io/mcp. Pick your client and copy.
claude mcp add --transport http cos-monitor https://mcp.semalytics.io/mcp
{
"mcpServers": {
"cos-monitor": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.semalytics.io/mcp"]
}
}
}{
"mcpServers": {
"cos-monitor": {
"url": "https://mcp.semalytics.io/mcp"
}
}
}{
"servers": {
"cos-monitor": {
"type": "http",
"url": "https://mcp.semalytics.io/mcp"
}
}
}{
"context_servers": {
"cos-monitor": {
"url": "https://mcp.semalytics.io/mcp"
}
}
}{
"mcpServers": {
"cos-monitor": {
"serverUrl": "https://mcp.semalytics.io/mcp"
}
}
}{
"mcpServers": {
"cos-monitor": {
"url": "https://mcp.semalytics.io/mcp"
}
}
}name: COS Monitor
version: 0.0.1
schema: v1
mcpServers:
- name: COS Monitor
type: streamable-http
url: https://mcp.semalytics.io/mcp{
"mcpServers": {
"cos-monitor": {
"httpUrl": "https://mcp.semalytics.io/mcp"
}
}
}{
"mcpServers": {
"cos-monitor": {
"type": "http",
"url": "https://mcp.semalytics.io/mcp"
}
}
}{
"mcpServers": {
"cos-monitor": {
"url": "https://mcp.semalytics.io/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.semalytics.io%2Fmcp&type=streamable_http&id=cos-monitor&name=COS%20Monitor
It answered our last check on 22 October 2026 in 762 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
13, as returned by the server's own tools/list on 14 September 2026: analyze_content, analyze_framework, analyze_full_comms, analyze_persuasion, analyze_platform, analyze_quality, audience_profile, chat, and 5 more.
It answered our last check on 22 October 2026 in 762 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.semalytics.io/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.internexio. Endpoint host: mcp.semalytics.io. ARD identifier: urn:air:io.github.internexio:mcp:cos-monitor.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.