MCP-Scorecard: MCP Scorecard is an open-source infrastructure tool for reviewing MCP servers before they enter real workflows. It launches a server locally over stdio, discovers its tools, applies a deterministic ruleset, and produces reviewable scores and findings across conformance, security, ergonomics, and metadata. The output is designed for CI, with terminal summaries, JSON reports, and SARIF.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.
Evaluate MCP server surfaces before adoption
Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities