Hashtag Effectiveness Analyzer Connector for AI agents.
5 live capabilities
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Why people use Hashtag Effectiveness Analyzer
Hashtag Effectiveness Analyzer for Social Media Safety
This Connector changes that. You just give your agent the list, and it handles the audit. It checks the platform limits, looks for spam triggers, and flags unreadable tags. You get a clean, optimized set ready for posting in seconds.
What Vinkius changes
You get a verified, platform-safe hashtag set without the manual research.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Shadowban Protection
A creator wants to use a trending tag but isn't sure if it's banned.
- Real-world use case 02
Multi-Platform Migration
A brand is moving from X to TikTok and needs to know how many tags to use.
- Real-world use case 03
Brand Consistency Check
A manager wants to make sure their brand tags aren't overshadowed by generic ones.
Complete set · 5capabilities
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.
01—03
3 capabilities in this set.
Part of 5 available through Hashtag Effectiveness Analyzer.
- 01 Capability
Calculate composition ratio
Shows the balance between your specific brand tags and broader, generic ones.
- 02 Capability
Detect redundancy
Finds any duplicate or nearly identical hashtags in your list to keep your tags clean.
- 03 Capability
Evaluate tag structure
Checks if your hashtags are long, readable, and use proper CamelCase formatting.
04—05
2 capabilities in this set.
Part of 5 available through Hashtag Effectiveness Analyzer.
- 04 Capability
Scan for spam patterns
Scans for banned words or suspicious patterns that could lead to an account shadowban.
- 05 Capability
Validate platform fit
Checks if your total hashtag count matches the best practices for Instagram, X, LinkedIn, or TikTok.
Set up in minutes
One URL. Then ask Hashtag Effectiveness Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Hashtag Effectiveness Analyzer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Hashtag Effectiveness Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Hashtag Effectiveness Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Hashtag Effectiveness Analyzer URL.
- Step 03
Save and start
Save the connection and enable Hashtag Effectiveness Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"hashtag-effectiveness-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Hashtag Effectiveness Analyzer
Open Agent mode in chat and ask: "Using Hashtag Effectiveness Analyzer, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"hashtag-effectiveness-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Hashtag Effectiveness Analyzer
Ask Copilot: "Using Hashtag Effectiveness Analyzer, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"hashtag-effectiveness-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Hashtag Effectiveness Analyzer
Open Cascade and ask: "Using Hashtag Effectiveness Analyzer, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"hashtag-effectiveness-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Hashtag Effectiveness Analyzer
Ask Cline: "Using Hashtag Effectiveness Analyzer, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add hashtag-effectiveness-analyzer --transport http "https://edge.vinkius.com/vk_preview_7avAuECnM3t1Eajf3of4imJIVbvAJNg9crAGJ8nd/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Hashtag Effectiveness Analyzer
Ask Claude: "Using Hashtag Effectiveness Analyzer, show me...". 5 tools are ready
Where the request belongs
Work Hashtag Effectiveness Analyzer can move forward.
Social media managers who are tired of manual audits, content creators trying to grow on multiple platforms, and brand leads worried about shadowbans.
Social Media Manager
Audits weekly content calendars to ensure every post hits the right hashtag sweet spot for specific networks.
Content Creator
Quickly checks viral tag sets to see if they're safe to use without getting flagged by platform filters.
Brand Manager
Ensures brand-specific tags aren't being drowned out by generic trend tags in every campaign.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
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Analyze LinkedIn hashtag usage for density, accessibility, and strategic positioning.
LinkedIn Mention and Tag Distribution Checker
Quantify the strategic placement of @mentions and #hashtags in LinkedIn posts.
Twitter CTA and Engagement Scorer
Analyze Twitter/X posts for engagement effectiveness, classifying CTAs and detecting algorithmic triggers.
Kitetags
Generate optimized hashtags for Instagram and TikTok posts with AI that analyzes trending tags and maximizes reach.
Twitter Virality and QT Bait Scorer
Quantify the 'Quote Tweet' incentive and virality potential of a tweet using linguistic pattern matching.
Bring your own AI
Change the model, client or framework. Keep Hashtag Effectiveness Analyzer connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Vercel AI SDK
Before you connect
Questions about Hashtag Effectiveness Analyzer.
The practical details behind the request, access and result.
Can the Hashtag Effectiveness Analyzer help me avoid shadowbans?
Yes, it scans your tags for banned words and suspicious patterns that often trigger platform filters, helping you keep your account in good standing.
Does this work for Instagram specifically?
Yes, it checks your hashtag count against Instagram's best practices to ensure you're reaching the maximum audience without looking like spam.
How does it help with brand consistency?
It calculates the ratio of your unique brand tags against generic ones, so you can make sure your brand identity stays front and center.
Can it tell me if my hashtags are too long?
Yes, it evaluates the structure of your tags and flags any that are excessively long or hard to read for your audience.
Is this good for multi-platform marketing?
It's perfect for it. You can audit the same set of tags for X, LinkedIn, TikTok, and Instagram to see how they fit each specific platform.
What happens if I have duplicate tags?
The capability detects exact and near-duplicate hashtags in your list so you can clean them up before you hit publish.
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.
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.
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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