mcp-server
★ 34
vs
semble
★ 4.5k
mcp-server vs semble
mcp-server: DollhouseMCP is an open-source platform that customizes AI through modular elements (personas, skills, templates, agents, memories, ensembles). It uses the MCP-AQL protocol with CRUDE endpoints and a Gatekeeper permission system for secure and flexible AI behavior modification. Installation is via npm or an interactive setup wizard, and it works across multiple platforms and MCP-compatible clients.; 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
Choose mcp-server if…Activate a read-only analyst persona to safely browse and list elements
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
02
Side-by-Side Comparison
03
Features
mcp-server01Modular elements (personas, skills, templates, agents, memories, ensembles) for flexible AI customization
02MCP-AQL protocol with CRUDE endpoints reducing token usage by 85%
03Gatekeeper server-side permission system with deny/confirm/allow policies
04Interactive setup wizard with one-click install for Claude Code, Desktop, Cursor, and more
05Local-first portfolio management with GitHub sync and community collection
semble01Fast 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-server↳Activate a read-only analyst persona to safely browse and list elements
↳Create custom skills for code review, data analysis, or translation
↳Execute multi-step agents with human-in-the-loop control for complex tasks
semble↳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-serverTrendingDev Tooling
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between mcp-server and semble?
Both mcp-server and semble are in the Dev Tooling category. mcp-server has 34 stars, while semble has 4.5k stars.
Which is better, mcp-server or semble?
The best choice depends on your use case. Choose mcp-server if Activate a read-only analyst persona to safely browse and list elements, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is mcp-server free or open source?
Yes, mcp-server is open source on GitHub (AGPL-3.0).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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