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LinkIntel is an MCP server tool for content creators that connects to Claude or other MCP-compatible AI assistants. After users connect their X (formerly Twitter) account, LinkIntel reads the impressions, replies, reposts, and likes of their recent original posts every day, and also reads X's open-source ranking algorithm code daily, integrating the two into a citable content brief delivered to the AI assistant, so the next draft starts from the user's own historical performance rather than a blank page. The tool is read-only: it will not post content, will not schedule posts, and will not search X on its own. Pricing is $39/month, with no free trial; payment is required before setup, and a full refund is available within 7 days. It is currently in closed beta and is not open to new accounts for now, starting with the X platform; LinkedIn analytics accounts are retained only for existing users.

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About this tool

Product Positioning

LinkIntel is an MCP (Model Context Protocol) server aimed at providing content creators with content creation assistance based on their own real data. It integrates the user's own X post performance data and X's publicly available ranking weights into a citable content brief, delivered to the AI assistant the user already uses, so drafts start from existing results rather than a blank page.

Main Capabilities

  • Read your own post performance: After connecting X, LinkIntel records the impressions, replies, reposts, and likes of the user's recent original posts every day, and saves snapshots that the assistant can cite.
  • Read X's ranking code: It reads X's open-source ranking code daily, flags what has changed, and uses commit records as evidence.
  • Generate a citable content brief: It merges the above two types of information into a brief returned to the AI assistant, which can use it to reason about patterns in the user's own content performance.
  • Optional public references: Users can choose to include a small number of public X posts as references, and this content is clearly distinguished from the user's own data.
  • Read-only design: LinkIntel will not post content, will not schedule posts, and will not search X on its own. The user always retains the final decision.

How to Use

Users can get started in two ways: paste one line of the example prompt into the AI assistant to have it complete setup, or choose to get started and sign in with Google. Either way, the $39/month subscription must be confirmed in the browser, after which it can be used in the existing MCP-compatible assistant. Connecting X can be done on the account page or through the link provided after setup in the assistant. LinkIntel will not ask for an X password. Users can disconnect at any time, and stored snapshots will be deleted.

Use Cases

  • Want content suggestions based on their own X post performance within the AI assistant they already use.
  • Want to understand which of their own posts performed well and plan subsequent content accordingly.
  • Want to test an angle before deciding on a new content direction, by pulling in a small number of public X posts as references.

Pricing and Limitations

  • Pricing is $39/month, prepaid monthly, with no free trial; payment is required before setup.
  • A full refund can be requested within 7 days of the first payment, with no explanation required.
  • Reference queries are included and are not charged per post.
  • Google sign-in itself incurs no cost, and the charge amount will be displayed before deduction and confirmed by the userConfirmed.
  • Cancel anytime; access continues until the end of the paid period.
  • Currently in closed beta, new accounts are not open at this time. The product starts with X platform; users who already have LinkedIn analytics accounts can still use that source on the account page.

Differences from other options

The official X MCP server is a general way for assistants to interact with the X API; LinkIntel has a narrower scope, focusing on saving daily snapshots of users' own posts and their metrics, incorporating X ranking weights with submission records, and returning them as citable briefings.

Additional notes

The conversation content on the page is exemplary, not user account data, and does not constitute a performance promise or evidence that format leads to interaction. Historical LinkedIn data comes from client Buffer analytics exports, is historical results, and does not reflect the effectiveness of the X workflow. The product currently has no free trial and does not provide other fee information beyond the price.