# parsely-mcp

> Use this tool when you need to access Parse.ly analytics data to inform content decisions, such as identifying top-performing posts or authors. It solves problems related to content optimization, audience engagement, and social media tracking by providing query functionality for analytics insights. The tool takes in queries as input and outputs relevant analytics data, such as top posts, authors, and social shares.

Canonical page: https://skillsregistry.net/skills/dailybeast-parsely-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dailybeast-parsely-mcp

## Description

MCP server that enables AI assistants to query Parse.ly analytics for top posts, authors, tags, referrers, content search, and social shares.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v8mqsuq1wc)
- **Repository:** <https://github.com/dailybeast/parsely-mcp>

## 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": "dailybeast-parsely-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dailybeast-parsely-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dailybeast-parsely-mcp/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