AgentRank

Enables semantic search and retrieval of MCP (Model Context Protocol) documentation using Redis-backed embeddings, allowing users to query and access documentation content through natural language.

Signal Breakdown

Installs 0

Freshness GitHub not linked

Issue Health GitHub not linked

Stars GitHub not linked

Platform Breadth 1 platform

Contributors GitHub not linked

Description Detailed

How to Improve

Platforms medium impact

Only 1 platform listed — publishing to more platforms improves your score

Badge

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/skill/glama-McKhanster--mcp-mcp)](https://agentrank-ai.com/skill/glama-McKhanster--mcp-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Copy

HTML

<a href="https://agentrank-ai.com/skill/glama-McKhanster--mcp-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/skill/glama-McKhanster--mcp-mcp" alt="AgentRank"></a> Copy

Supported Platforms

MCP

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