Marketplace Listing Coach
Scores MCP marketplace listings and README sections against MCPize-friendly discovery criteria. Provides feedback on structure, keywords, and formatting to enhance searchability. MCP server developers use it to refine listings prior to submission for better ecosystem visibility.
Overview
The Marketplace Listing Coach evaluates MCP marketplace listings and README sections by assigning scores based on MCPize-friendly discovery standards. It analyzes elements like metadata completeness, keyword relevance, formatting, and content structure to identify improvements for higher discoverability in the MCP ecosystem.
Key Capabilities
- Listing Scoring: Computes a score for entire marketplace listings, flagging issues in title, description, tags, and compatibility claims.
- README Section Analysis: Breaks down README content into sections (e.g., overview, installation, usage) and scores each for clarity, technical accuracy, and MCP-specific optimizations.
- Feedback Generation: Outputs actionable suggestions, such as adding required MCP keywords or restructuring examples for better parsing by discovery tools.
Use Cases
- Pre-Submission Review: A developer pastes a draft listing into the server, receives a score of 72/100, and adjusts tags based on feedback before publishing.
- README Optimization: Analyze a README.md file to score installation instructions at 65/100, then rewrite code blocks for MCP tool compatibility.
- Batch Evaluation: Score multiple listings from a team to prioritize fixes, ensuring all meet a 85+ threshold for marketplace approval.
- Iterative Improvement: After initial low scores, refine descriptions with MCPize terms like 'tools' and 'capabilities' to boost discoverability scores.
Who This Is For
MCP server creators, maintainers, and contributors who list tools on the MCP marketplace. Ideal for developers ensuring their servers rank well in searches and comply with discovery protocols.