How to Use the Kitetags MCP in Claude Code

Q: How do I configure the Kitetags MCP server for Claude Code?

Run claude mcp add --transport http kitetags -- in your terminal. Make sure all flags come before the server name. Verify the connection by typing claude mcp list.

Pipe live TikTok and Instagram hashtag analytics straight into your terminal with Claude Code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Kitetags MCP to Claude Code

Create your Vinkius account to connect Kitetags to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Kitetags with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run headless marketing audits with Claude Code

Kitetags brings fresh social media metadata directly into your CLI environment. You can trigger a cron job that wakes up Claude Code and asks it to evaluate your current campaign tags. The agent runs `search_tags` to pull data and pipes the output into your local logging system. It doesn't require a browser or a UI. The agent queries `get_tag_analytics` in the background, compares the reach metrics against your baseline, and writes a markdown report of the best performing terms before exiting the process.

Maintain campaign databases

Kitetags lets your terminal agent sync your local database with the live taxonomy on the MCP server. Managing hundreds of campaign tags manually is a waste of time, so your agent runs `list_groups` to fetch the current categories. If a category is missing, it executes `create_group` to build it. It then iterates through the required terms using `create_tag`. When a campaign ends, you just run a shell script that tells the agent to wipe the slate clean with `delete_group`.

Build automated reporting pipelines

Kitetags allows you to integrate hashtag tracking directly into your automated CI/CD checks. Before deploying a new marketing site build, your script can ask the AI client to verify the hardcoded tags. It runs `check_kitetags_status` to ensure the API is reachable. The agent then runs `list_group_tags` to validate the specific terms for that launch. It queries `get_tag` for each item to ensure the tags are still active on Instagram and TikTok, failing the build if the marketing data is stale.

Setup guide

Set up Kitetags MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see kitetags-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Kitetags transactions." It will automatically discover and invoke the available Kitetags tools.

Terminal

claude mcp add --transport http kitetags-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Kitetags MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "kitetags-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kitetags. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Kitetags now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kitetags MCP in Claude Code

Run `claude mcp add --transport http kitetags -- ` in your terminal. Make sure all flags come before the server name. Verify the connection by typing `claude mcp list`.

Yes. You can write a bash script that launches the agent, queries `get_tag_analytics`, and outputs the results to a CSV file every morning at 9 AM.

The server supports stdio, HTTP, and SSE transports. Your configuration is automatically saved to `~/.claude.json` after the initial setup command.

Just type a command telling the agent to remove last month's tags. It will locate the specific ID with `get_group` and remove it permanently via `delete_group`.

The integration only processes search strings and public social media metrics. Vinkius isolates the execution environment completely, dropping all network connections and memory states the moment the terminal command finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript