# Publication Cadence Tracker MCP Server

> Publication Cadence Tracker MCP Server — mambalabsdev-mcp-publication-cadence-tracker. Use this tool when you need to monitor and analyze a company's publication frequency and trends over time. It solves problems related to tracking content production and identifying changes in publication patterns, providing inputs such as domain data and outputs including post counts, trend analysis, and reliability flags. Ideal for use in content strategy, competitive analysis, and market research contexts.

Canonical page: https://skillsregistry.net/skills/mambalabsdev-mcp-publication-cadence-tracker  
JSON: https://api.skillsregistry.net/v1/skills/mambalabsdev-mcp-publication-cadence-tracker

## Description

Tracks a company's long-form publication cadence per month and trend (accelerating, steady, declining, dormant) from a given domain. Provides detailed metrics like post counts, trend percentage change, formats detected, and reliability flags.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ojtzv5yzrj)
- **Repository:** <https://github.com/mambalabsdev/mcp-publication-cadence-tracker>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mambalabsdev-mcp-publication-cadence-tracker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mambalabsdev-mcp-publication-cadence-tracker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mambalabsdev-mcp-publication-cadence-tracker/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt