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semble vs mxcp
semble logo
semble
★ 4.5k
vs
mxcp logo
mxcp
★ 69

semble vs mxcp

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.; mxcp: MXCP is a complete methodology for building production-ready MCP servers with enterprise security, data quality, and comprehensive testing. It enables developers to define services with data contracts, implement them in SQL or Python, and enforce security policies with audit trails and drift detection.

01

TL;DR

semble logoChoose semble if…

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

mxcp logoChoose mxcp if…

Build AI-powered data query tools with SQL and Python

02

Side-by-Side Comparison

Field
semble logosemble
mxcp logomxcp
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 4.5k
★ 69
License
MIT
NOASSERTION
Updated
2d ago
5d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
chatgpt, claude, dbt
03

Features

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
mxcp logomxcp
01Security First: OAuth, RBAC, policy enforcement
02Complete Audit Trail: Track every operation for compliance
03Type Safety: Comprehensive validation across SQL and Python
04Testing Framework: Unit, integration, and LLM behavior tests
05Drift Detection: Monitor schema changes across environments
04

Use Cases

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
mxcp logomxcp
↳Build AI-powered data query tools with SQL and Python
↳Implement enterprise-grade access control for sensitive data
↳Create complex data analysis pipelines with ML integration
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
mxcp logomxcp
TrendingLLM Infra
FAQ

FAQ

What is the difference between semble and mxcp?
Both semble and mxcp are in the RAG / Knowledge Base category. semble has 4.5k stars, while mxcp has 69 stars.
Which is better, semble or mxcp?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and mxcp if Build AI-powered data query tools with SQL and Python.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is mxcp free or open source?
Yes, mxcp is open source on GitHub (NOASSERTION).
→

Related

Alternatives to semble →Alternatives to mxcp →semble details →mxcp details →
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