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How to Use the CrowdTangle MCP in Claude Code

Pipe CrowdTangle engagement metrics directly into your terminal workflows using Claude Code.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Code

Connect CrowdTangle MCP to Claude Code

Create your Vinkius account to connect CrowdTangle 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.

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Analyze viral metrics via MCP Server

`search_posts_by_keyword` returns relevant posts and comparative performance data straight to stdout. You run a single command in your terminal, and your agent scrapes the current narrative without opening a browser. It pipes this raw data into your local log files. For deeper analysis, it triggers `get_top_performing_posts` to calculate actual versus expected interaction scores. You can set this up as a cron job that alerts your Slack channel when a post exceeds its baseline. The terminal handles the entire pipeline autonomously.

Automate URL spread detection

`get_link_shares` identifies exactly who amplified your target URLs across social networks. Your agent fetches the follower counts and interactions, formatting them as a clean CSV right in your working directory. No manual exports required. When a high-profile account shares the link, the script calls `get_post_details` to pull reaction breakdowns. It grabs the platform-specific metadata and appends it to your database. You build a complete tracking system using pure CLI commands.

Audit tracking lists from the CLI

`list_monitored_lists` exposes your list IDs, names, and platform affiliations directly in your shell session. You can script Claude Code to verify that your tracking groups match your current campaign targets. It flags any lists that are missing key accounts. The agent then runs `get_account_leaderboard` to dump the latest average engagement rates. You can pipe this output into jq or another command-line tool for further processing. Your SRE team gets instant visibility into social performance without touching a dashboard.

Setup guide

Set up CrowdTangle 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. 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. 2

    Verify the connection

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

  3. 3

    Start using tools

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

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

Why Choose Vinkius

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

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 CrowdTangle MCP in Claude Code

Run claude mcp add --transport http -- . Make sure to pass all flags before the server name. Verify the connection by running claude mcp list.
You can execute headless commands inside GitHub Actions or Docker containers. Your agent will fetch the required engagement metrics and pass them to subsequent build steps.
The client returns raw data directly to your terminal. You can instruct it to parse the JSON into tables, write it to a file, or pipe it into another script.
The terminal outputs the error directly to stderr. Your shell script can catch this and retry the request or log the failure.
All requests route through a zero-trust Vinkius sandbox. Reaction breakdowns and share history are processed ephemerally, ensuring no persistent access to your local environment.

Start using the CrowdTangle MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for CrowdTangle. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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