AgentIndex icon
AgentIndex
ToolsCategoriesTrendingNewCompare
Submit Tool
ToolsCategoriesTrendingNewCompare
Home/
Compare/
semble vs UNO-MCP
semble logo
semble
★ 4.6k
vs
UNO-MCP logo
UNO-MCP
★ 13

semble vs UNO-MCP

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.; UNO-MCP: UNO is a magical text enhancement tool that transforms ordinary story content into rich, detailed narratives using advanced literary techniques and heuristic analysis. It offers three MCP tools: analyze_text, enhance_text, and custom_enhance_text, along with five enhancement techniques. It integrates with Claude Desktop and VS Code for creative writing, coaching, game narrative, and novel expansion.

01

TL;DR

semble logoChoose semble if…

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

UNO-MCP logoChoose UNO-MCP if…

Creative writing assistant for enriching scenes and characters

02

Side-by-Side Comparison

Field
semble logosemble
UNO-MCP logoUNO-MCP
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 4.6k
★ 13
License
MIT
ISC
Updated
2d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
ai-tools, ai-writing, creative-writing
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
UNO-MCP logoUNO-MCP
01Deep text analysis with comprehensive reports
02Automatic text expansion up to 200% (default)
03Customizable enhancement with selective techniques and expansion targets (100%-500%)
04Five enhancement techniques: Golden Shadow, Environmental Expansion, Action Scene, Prose Smoothing, Repetition Elimination
05Integration with Claude Desktop and VS Code via MCP
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
UNO-MCP logoUNO-MCP
↳Creative writing assistant for enriching scenes and characters
↳Writing coach by analyzing text and providing feedback
↳Game narrative development for enhancing action and environment
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
UNO-MCP logoUNO-MCP
TrendingAPI Integration
FAQ

FAQ

What is the difference between semble and UNO-MCP?
Both semble and UNO-MCP are in the RAG / Knowledge Base category. semble has 4.6k stars, while UNO-MCP has 13 stars.
Which is better, semble or UNO-MCP?
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 UNO-MCP if Creative writing assistant for enriching scenes and characters.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is UNO-MCP free or open source?
Yes, UNO-MCP is open source on GitHub (ISC).
→

Related

Alternatives to semble →Alternatives to UNO-MCP →semble details →UNO-MCP details →
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
QYSGitHubBuy me a coffee ☕

Browse by Category

Code AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.