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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Hashtag Effectiveness Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Evaluate hashtag sets for platform optimization, readability, and safety.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 5 capabilities

The complete Hashtag Effectiveness Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with Hashtag Effectiveness Analyzer.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Hashtag Effectiveness Analyzer.

  1. 01

    Detect redundancy

    Detects exact and near-duplicate hashtags

  2. 02

    Evaluate tag structure

    Evaluates structural readability and length standards of hashtags

  3. 03

    Validate platform fit

    Validates if the total number of hashtags is optimal for a platform

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Hashtag Effectiveness Analyzer.

  1. 04

    Calculate composition ratio

    Calculates the ratio of branded vs generic tags

  2. 05

    Scan for spam patterns

    Scans for banned words or suspicious patterns in hashtags

Observed, not estimated

642ms average. Fast in production.

Hashtag Effectiveness Analyzer is checked daily against the live service.

Daily averagePeak 793ms
Aug 20Today
Fastest day
511ms
Slowest day
793ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Hashtag Effectiveness Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with Hashtag Effectiveness Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Hashtag Effectiveness Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Hashtag Effectiveness Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "hashtag-effectiveness-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Hashtag Effectiveness Analyzer owners ask.

  • 01

    How does the capability determine if a hashtag count is optimal?

    The validate_platform_fit capability compares your provided list against established best practices for specific platforms like Instagram and X, recommending whether to add or prune tags.

  • 02

    Can I check if my hashtags are easy to read?

    Yes, using evaluate_tag_structure, you can identify tags that lack proper capitalization (CamelCase) or exceed recommended length limits.

  • 03

    How do I prevent my hashtags from being flagged as spam?

    You can use scan_for_spam_patterns to check your hashtag set against a list of banned words and identify suspicious character patterns that might trigger platform filters.

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