semble
★ 4.5k
vs
fastmcp
★ 25.4k
semble vs fastmcp
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.; fastmcp: FastMCP is a standard framework for building Model Context Protocol (MCP) applications, which connect LLMs to tools and data. It simplifies the process by automatically generating schemas, validation, and documentation for tools, and managing transport negotiation and authentication for server connections. FastMCP offers a comprehensive solution for developing, deploying, and scaling MCP-powered systems.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose fastmcp if…Building LLM applications that interact with custom tools and data sources
02
Side-by-Side Comparison
03
Features
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
fastmcp01Automatic schema, validation, and documentation generation for tools
02Managed transport negotiation, authentication, and protocol lifecycle for server connections
03Wraps Python functions into MCP-compliant tools, resources, and prompts (Servers)
04Connects to any MCP server with full protocol support (Clients)
05Provides interactive UIs for tools rendered directly in conversations (Apps)
04
Use Cases
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
fastmcp↳Building LLM applications that interact with custom tools and data sources
↳Creating interactive conversational UIs for backend functionalities
↳Developing and deploying scalable MCP servers and clients
05
Best For
sembleCode AssistantRAG / Knowledge Base
fastmcpMost PopularDev ToolingLLM Infra
FAQ
FAQ
What is the difference between semble and fastmcp?
Both semble and fastmcp are in the RAG / Knowledge Base category. semble has 4.5k stars, while fastmcp has 25.4k stars.
Which is better, semble or fastmcp?
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 fastmcp if Building LLM applications that interact with custom tools and data sources.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is fastmcp free or open source?
Yes, fastmcp is open source on GitHub (Apache-2.0).
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