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MCP-Scorecard vs semble
MCP-Scorecard logo
MCP-Scorecard
★ 26
vs
semble logo
semble
★ 4.6k

MCP-Scorecard vs semble

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.

01

TL;DR

MCP-Scorecard logoChoose MCP-Scorecard if…

Evaluate MCP server surfaces before adoption

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

02

Side-by-Side Comparison

Field
MCP-Scorecard logoMCP-Scorecard
semble logosemble
Category
Dev Tooling
RAG / Knowledge Base
Stars
★ 26
★ 4.6k
License
Apache-2.0
MIT
Updated
1mo ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agentic-ai, ci-cd, devsecops
agents, code-search, embeddings
03

Features

MCP-Scorecard logoMCP-Scorecard
01Run locally against a real MCP server
02Fail CI below a deterministic threshold
03Export JSON and SARIF for automation
04Review risky MCP surfaces deterministically
05Score across conformance, security, ergonomics, and metadata
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04

Use Cases

MCP-Scorecard logoMCP-Scorecard
↳Evaluate MCP server surfaces before adoption
↳Gate CI pipelines based on score thresholds
↳Generate machine-readable reports for automation and policy
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05

Best For

MCP-Scorecard logoMCP-Scorecard
TrendingAPI Integration
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between MCP-Scorecard and semble?
Both MCP-Scorecard and semble are in the Dev Tooling category. MCP-Scorecard has 26 stars, while semble has 4.6k stars.
Which is better, MCP-Scorecard or semble?
The best choice depends on your use case. Choose MCP-Scorecard if Evaluate MCP server surfaces before adoption, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is MCP-Scorecard free or open source?
Yes, MCP-Scorecard is open source on GitHub (Apache-2.0).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to MCP-Scorecard →Alternatives to semble →MCP-Scorecard details →semble details →
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