A fake Model Context Protocol (MCP) server for AI development
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Token usage minimization while remaining human-readable by TOON
Data generation is deterministic and reproducible
Support for latest protocol version 2025-11-25
Streamable HTTP in Stateless mode
Extensive input schema validation
For stdio or local development see complete instructions in
GitHub
The /post_engagement_report prompt acts as an AI workflow that guides the user through a
structured data analysis process.
User interaction flow:
1. User types: /post_engagement_report
2. System prompts: "Enter postId (1-100):"
3. User enters: "5"
4. System sends the pre-formatted prompt to the AI
5. AI executes using available tools
Prompts define the strategy, while tools provide the execution capabilities. The following tools are used to retrieve and aggregate comment-related metrics:
get_post_comments
comments_per_view
Resources are the data the analysis runs on. URI-style templates are used to reference specific resources by their unique identifiers.
resource://users/{id}
resource://posts/{id}
The data model is hierarchical. A user has multiple posts, and each post can contain multiple comments.
users
└─ posts
└─ comments
This project is in an early stage and under active development. Feature requests are welcome!