# COS Monitor (remote · mcp.semalytics.io)

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

- Trust score: 70/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-28

## Components

- remote · `mcp.semalytics.io`: 70/100 (this document), [markdown](https://verifymcp.io/servers/internexio-cos-monitor/mcp.md), [page](https://verifymcp.io/servers/internexio-cos-monitor/mcp)

## Channel facts

- Endpoint: `https://mcp.semalytics.io/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-28.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 13 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 69/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 2301 tokens (~177/item across 13 items; 13 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 60/100
  - Stability observed for 18 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 98/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 92% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 75/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "execute_template" implies "execute" and declares no destructiveHint at all, which the MCP spec reads as destructive by default.
  - An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the COS Monitor MCP server?

COS Monitor is a hosted endpoint at https://mcp.semalytics.io/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http internexio-cos-monitor 'https://mcp.semalytics.io/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "internexio-cos-monitor": {
      "url": "https://mcp.semalytics.io/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "internexio-cos-monitor": {
      "type": "http",
      "url": "https://mcp.semalytics.io/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.internexio-cos-monitor]
url = "https://mcp.semalytics.io/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "internexio-cos-monitor": {
      "type": "remote",
      "url": "https://mcp.semalytics.io/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add internexio-cos-monitor --url 'https://mcp.semalytics.io/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  internexio-cos-monitor:
    url: "https://mcp.semalytics.io/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "internexio-cos-monitor": {
      "Transport": "http",
      "Url": "https://mcp.semalytics.io/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add internexio-cos-monitor -t streamable-http -u 'https://mcp.semalytics.io/mcp'
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-28 (score 70, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-27 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-26 (score 69, 0)

- [functional] Server version: 4.0.9 → 4.0.10

### 2026-09-25 (score 69, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-24 (score 68, 0)

- [functional] Server version: 4.0.5 → 4.0.8

### 2026-09-23 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-21 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-20 (score 66, 0)

- [security] The server rewrote its instructions, which are the text every model session reads

## MCP tools (13)

### `analyze_content` (~104 tokens)

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

Input parameters:

- `content` (string, required): The text content to analyze (min 50 characters)
- `platform` (string): Target platform for optimization (affects scoring weights)
- `target_audience`: Description of intended audience (improves relevance scoring)

### `analyze_framework` (~214 tokens)

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

Input parameters:

- `content` (string, required): The text content to analyze (min 50 characters)
- `framework` (string, required): Which analysis framework to use
- `platform` (string): Target platform for optimization
- `target_audience`: Description of intended audience
- `temperature`: Optional LLM sampling temperature. Pass 0.0 for deterministic scoring (validation harnesses, classification-agreement gates). Leave unset (None) for the backend default. Forwarded to the analyze endp…

### `get_templates` (~78 tokens)

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

Input parameters:

- `category`: Filter by template category (e.g., "email", "social", "sales")
- `search`: Search templates by name or description

### `execute_template` (~84 tokens)

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.

Input parameters:

- `platform` (string): Target platform for optimization
- `template_id` (string, required): The template ID to execute (from get_templates)
- `variables` (object, required): Dictionary of variable values required by the template

### `chat` (~70 tokens)

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

Input parameters:

- `conversation_id`: Optional ID to continue an existing conversation
- `message` (string, required): Your message to the COS agent

### `get_template_details` (~62 tokens)

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

Input parameters:

- `template_id` (string, required): The template ID to get details for

### `analyze_persuasion` (~205 tokens)

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

Input parameters:

- `content` (string, required): The text content to analyze (min 50 characters)
- `domain` (string): The domain context for persuasion analysis
- `platform` (string): Target platform for optimization
- `target_audience`: Description of intended audience
- `temperature`: Optional LLM sampling temperature. Pass 0.0 for deterministic scoring (validation harnesses, classification-agreement gates). Leave unset (None) for the backend default. Forwarded to the persuasion e…

### `analyze_platform` (~119 tokens)

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

Input parameters:

- `content` (string, required): The text content to analyze (min 50 characters)
- `platform` (string): The target platform for optimization
- `target_audience`: Description of intended audience

### `analyze_quality` (~111 tokens)

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?

Input parameters:

- `content` (string, required): The text content to analyze (min 50 characters)
- `platform` (string): Target platform context
- `target_audience`: Description of intended audience

### `analyze_full_comms` (~138 tokens)

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.

Input parameters:

- `content` (string, required): The text content to analyze (min 50 characters)
- `domain` (string): Domain for persuasion analysis
- `platform` (string): Target platform for optimization
- `target_audience`: Description of intended audience

### `profile_agent` (~129 tokens)

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?"

Input parameters:

- `agent_name` (string): Name of the agent being profiled
- `samples` (array, required): List of writing samples from the agent (min 50 chars each, 3-5 recommended)

### `audience_profile` (~285 tokens)

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.

Input parameters:

- `audience_description` (string, required): Free-text description of the target audience (10-2000 chars). Include role, industry, behaviors, pain points, recent signals.
- `campaign_objective` (string): Campaign goal (e.g. "awareness", "conversion", "retention", "cold_outreach").
- `domain` (string): Campaign domain context (e.g. "B2B", "ecommerce", "health", "financial").

### `optimize_email_for_prospect` (~475 tokens)

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

Input parameters:

- `audience_description` (string, required): REQUIRED. Free-text describing the prospect (role, industry, behaviors, pain points, recent signals). 10-2000 chars. This seeds the audience profile.
- `company`
- `domain` (string): Persuasion domain (default "business").
- `draft`: Existing draft to score + refine. If None, a draft is generated.
- `include_scoring`: Run persuasion + platform scoring on the draft. Default (None): scoring runs ONLY when a draft was supplied (refine path). On the generate path scoring is skipped by default (cuts latency from ~45s t…
- `industry`
- `intent` (string): Email intent ("cold_outreach", "follow_up", "reactivation", "warm_intro", "demo_request", "discovery_call", "proposal_recap").
- `name`
- `recent_signals`: List of recent activity/triggers from the CRM (e.g. ["downloaded ROI calculator", "viewed pricing 3x"]).
- `sender_context`: Who the sender is and what they're pitching.
- `title`
- `writing_samples`: 0-5 prospect writing samples (emails, posts). Each ≥50 chars. Profiled if provided.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/internexio-cos-monitor/mcp#diagnostics

## Score history

- 2026-09-28: 70
- 2026-09-27: 70
- 2026-09-26: 69
- 2026-09-25: 69
- 2026-09-24: 68
- 2026-09-23: 68
- 2026-09-22: 67
- 2026-09-21: 67
- 2026-09-20: 66
- 2026-09-19: 66
- 2026-09-18: 66
- 2026-09-17: 65
- 2026-09-16: 65
- 2026-09-15: 64
- 2026-09-14: 64
- 2026-09-13: 63
- 2026-09-12: 63
- 2026-09-11: 62
- 2026-09-10: 62

## Common questions

### What is the COS Monitor MCP server?

COS Monitor is an MCP server listed in the public MCP registry as io.github.internexio/cos-monitor. Scores website pages for communication quality, tracks regressions, surfaces a fix queue. This page covers its hosted endpoint (https://mcp.semalytics.io/mcp).

### Is the COS Monitor MCP server safe to use?

COS Monitor scores 70 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the COS Monitor MCP server expose?

COS Monitor exposes 13 tools: analyze_content, analyze_framework, get_templates, execute_template, chat, and 8 more. Their descriptions and schemas cost roughly 2,074 tokens of context every time the server is loaded.

### Does the COS Monitor MCP server require authentication?

No. We connected to COS Monitor without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the COS Monitor MCP server still maintained?

COS Monitor is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://mcp.semalytics.io/mcp
- Repository: https://github.com/internexio/cos
- Changelog RSS feed: https://verifymcp.io/servers/internexio-cos-monitor/mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/internexio-cos-monitor/mcp.json
- HTML version of this page: https://verifymcp.io/servers/internexio-cos-monitor/mcp