About
The Anthropic MCP Server streams tweets from a Google Sheet to X (formerly Twitter), enabling scheduled or trigger‑based social media publishing directly from spreadsheet data.
Capabilities

Overview
The Anthropic MCP Server bridges the gap between conversational AI assistants and social media automation by allowing a Claude-powered agent to post tweets directly from data stored in a Google Sheet. This solution tackles the common pain point of manually transferring content between spreadsheets and X (formerly Twitter), streamlining workflows for marketers, community managers, and data analysts who rely on structured spreadsheets to curate content calendars.
At its core, the server exposes a single tool that reads rows from a designated Google Sheet and formats them into tweet-ready text. The MCP protocol ensures secure authentication, data validation, and error handling so that the AI client can trust the output before publishing. By decoupling data storage from posting logic, teams can maintain a single source of truth for all scheduled content while leveraging Claude’s natural language capabilities to refine or augment messages on the fly.
Key features include:
- Dynamic sheet integration: Specify spreadsheet IDs, ranges, and column mappings to pull the exact fields needed for each tweet.
- Content sanitization: Automatic trimming of text to fit X’s character limits and removal of disallowed characters.
- Rate‑limit awareness: The server respects X’s API limits, queuing posts or delaying as necessary to avoid throttling.
- Audit logging: Every posting attempt, along with success or failure status, is logged for compliance and troubleshooting.
- Extensible prompts: Developers can provide custom prompt templates that Claude uses to transform raw sheet data into engaging, brand‑aligned language.
Real‑world scenarios where this MCP shines include automated product launches, daily social media calendars, and real‑time data dashboards that feed live updates to a brand’s X presence. Integrating this server into an existing AI workflow is straightforward: the assistant calls the tool, receives a confirmation payload, and can then trigger follow‑up actions such as tagging collaborators or archiving the post.
What sets the Anthropic MCP Server apart is its tight coupling of spreadsheet data with Claude’s conversational interface, eliminating manual copy‑paste steps and reducing the risk of errors. It empowers developers to build fully automated, AI‑driven social media pipelines that scale with minimal overhead.
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