mcp-registry/io.github.internexio/cos-monitor · v4.1.3
As of 2026-10-26 18:11 UTC, the Internexio Cos Monitor MCP server is up with a Glimind reliability score of 88/100 (grade B). Over the last 30 days it answered 99.8% of Glimind's liveness checks. It had 5 outages in 90 days, with a median recovery of 8 minutes.
Scores website pages for communication quality, tracks regressions, surfaces a fix queue.
Point your MCP client at this streamable-http endpoint: https://mcp.semalytics.io/mcp
13 of 13 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
4 parameter(s) across 1 tool(s) have no description.
Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →
1 tool(s) look like they change state (create/send/delete/pay…) but declare no destructiveHint.
Set annotations {"readOnlyHint": false, "destructiveHint": true|false, "idempotentHint": …}. Clients use these to ask the user before a side effect and to auto-approve safe reads. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 1 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.internexio%2Fcos-monitor/fixes
{
"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",
"inputSchema": {
"type": "object",
"required": [
"content"
],
"properties": {
"content": {
"type": "string",
"description": "The text content to analyze (min 50 characters)"
},
"platform": {
"enum": [
"twitter",
"linkedin",
"email",
"youtube",
"tiktok",
"instagram",
"facebook",
"medium",
"substack",
"podcast",
"newsletter",
"slack",
"discord",
"general"
],
"type": "string",
"default": "general",
"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)"
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": true
},
"title": "Analyze Content"
}{
"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",
"inputSchema": {
"type": "object",
"required": [
"content",
"framework"
],
"properties": {
"content": {
"type": "string",
"description": "The text content to analyze (min 50 characters)"
},
"platform": {
"enum": [
"twitter",
"linkedin",
"email",
"youtube",
"tiktok",
"instagram",
"facebook",
"medium",
"substack",
"podcast",
"newsletter",
"slack",
"discord",
"general"
],
"type": "string",
"default": "general",
"description": "Target platform for optimization"
},
"framework": {
"enum": [
"hape",
"big_five",
"strategic_clarity",
"framing_strategy"
],
"type": "string",
"description": "Which analysis framework to use"
},
"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."
},
"target_audience": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Description of intended audience"
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": true
},
"title": "Analyze Framework"
}{
"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.",
"inputSchema": {
"type": "object",
"required": [
"content"
],
"properties": {
"domain": {
"enum": [
"business",
"politics",
"health",
"masculinity",
"comedy"
],
"type": "string",
"default": "business",
"description": "Domain for persuasion analysis"
},
"content": {
"type": "string",
"description": "The text content to analyze (min 50 characters)"
},
"platform": {
"enum": [
"twitter",
"linkedin",
"email",
"youtube",
"tiktok",
"instagram",
"facebook",
"medium",
"substack",
"podcast",
"newsletter",
"slack",
"discord",
"general"
],
"type": "string",
"default": "linkedin",
"description": "Target platform for optimization"
},
"target_audience": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Description of intended audience"
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": true
},
"title": "Analyze Full Comms"
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.internexio/cos-monitor"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.internexio/cos-monitor"}) over MCP.
optimize_email_for_prospect ~757 tokensanalyze_persuasion ~443 tokensanalyze_framework ~440 tokensaudience_profile ~325 tokensanalyze_full_comms ~317 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fio.github.internexio%2Fcos-monitor?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.internexio%2Fcos-monitor?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.internexio%2Fcos-monitor.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.internexio%2Fcos-monitor.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.internexio%2Fcos-monitor?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:bbf33520321e7394…, first seen 2026-10-17, included at leaf 9824 of 74,641. Version history · verify what your client received.
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Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-26 18:11 UTC, the Internexio Cos Monitor MCP server is up with a Glimind reliability score of 88/100 (grade B). Over the last 30 days it answered 99.8% of Glimind's liveness checks. It had 5 outages in 90 days, with a median recovery of 8 minutes.
Internexio Cos Monitor MCP server advertises 13 tools, including analyze_content, analyze_framework, analyze_full_comms, analyze_persuasion, analyze_platform.
Point your MCP client at this streamable-http endpoint: https://mcp.semalytics.io/mcp
Glimind scanned all 13 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.