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semble vs prospectio-api-mcp
semble logo
semble
★ 4.5k
vs
prospectio-api-mcp logo
prospectio-api-mcp
★ 19

semble vs prospectio-api-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.; prospectio-api-mcp: Prospectio MCP API is a FastAPI-based application that implements the Model Context Protocol (MCP) for lead prospecting. It follows Clean Architecture principles with persistent storage using PostgreSQL and pgvector. The application provides a three-phase contact enrichment process using Perplexity web search and DuckDuckGo to discover professional information, LinkedIn URLs, and biographical details.

01

TL;DR

semble logoChoose semble if…

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

prospectio-api-mcp logoChoose prospectio-api-mcp if…

Lead prospecting and contact enrichment for sales teams

02

Side-by-Side Comparison

Field
semble logosemble
prospectio-api-mcp logoprospectio-api-mcp
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 4.5k
★ 19
License
MIT
—
Updated
2d ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
agentic-ai, ai, artificial-intelligence
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
prospectio-api-mcp logoprospectio-api-mcp
01Clean Architecture with separation of domain, application, and infrastructure layers
02Three-phase contact enrichment: web search for contact info, LinkedIn URL discovery, and biography gathering
03Persistent storage with PostgreSQL and pgvector for efficient lead and profile management
04Supports both REST API and MCP protocol for flexible integration
05Dependency injection and strategy pattern for pluggable data sources
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
prospectio-api-mcp logoprospectio-api-mcp
↳Lead prospecting and contact enrichment for sales teams
↳Integration with MCP-compatible clients like Claude or Gemini for automated workflows
↳Building and maintaining a comprehensive leads database with enriched professional data
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
prospectio-api-mcp logoprospectio-api-mcp
Hidden GemAPI Integration
FAQ

FAQ

What is the difference between semble and prospectio-api-mcp?
Both semble and prospectio-api-mcp are in the RAG / Knowledge Base category. semble has 4.5k stars, while prospectio-api-mcp has 19 stars.
Which is better, semble or prospectio-api-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 prospectio-api-mcp if Lead prospecting and contact enrichment for sales teams.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is prospectio-api-mcp free or open source?
Yes, prospectio-api-mcp is open source on GitHub.
→

Related

Alternatives to semble →Alternatives to prospectio-api-mcp →semble details →prospectio-api-mcp details →
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