search-boost logo
search-boost
★ 58
vs
portfolio-mcp logo
portfolio-mcp
★ 12

search-boost vs portfolio-mcp

search-boost: SearchBoost is a multi-engine web search and evidence synthesis tool specifically designed for AI coding agents. It provides a unified core runtime across various host ecosystems, enabling parallel multi-agent research workflows with zero-config onboarding and strong security.; portfolio-mcp: portfolio-mcp is a Model Context Protocol (MCP) server that allows users to interact with their XP Investimentos portfolio via Claude Desktop. It processes official PDF/CSV exports from XP, stores the normalized data in a local SQLite database, and answers portfolio-related questions without sending sensitive information externally. It provides analytical tools for asset allocation, returns calculation, and market data screening.

01

TL;DR

search-boost logo
search-boostRAG / Knowledge Base · ★ 58

Empowering AI coding agents with advanced web search.

portfolio-mcp logo
portfolio-mcpRAG / Knowledge Base · ★ 12

Compare current allocation against a target portfolio and suggest rebalancing actions.

02

Side-by-Side Comparison

Field
search-boost logosearch-boost
portfolio-mcp logoportfolio-mcp
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 58
★ 12
License
MIT
MIT
Install Command
npm install -g search-boost && search-boost
npx -y portfolio-mcp
Updated
5d ago
4mo ago
Open Source
Yes
Yes
Tags
Multi-engine Search, Web Scraper, AI Agent Tooling
TypeScript, Node.js, Model Context Protocol
03

Features

search-boost logosearch-boost
01Multi-Engine Parallel Search and Re-ranking
02Clean Webpage Content Extraction
03Native Multi-Agent Parallel Research Workflows
04Unified Core Runtime for Diverse Host Ecosystems
05Zero-Config Onboarding and Strict Security
portfolio-mcp logoportfolio-mcp
01Local-first data storage in SQLite with zero outbound HTTP calls for core tools.
02No credentials or web scraping required; users import PDF/CSV exports directly.
03Read-only by design, ensuring no orders can be placed or modifications made at XP.
04Stdio transport for secure communication with Claude Desktop, no open ports.
05Idempotent import of PDF/CSV files to prevent data duplication.
04

Use Cases

search-boost logosearch-boost
↳Empowering AI coding agents with advanced web search.
↳Automating parallel information gathering for research tasks.
↳Synthesizing evidence from multiple web sources for AI decision-making.
↳Integrating search functionalities across different LLM host platforms.
portfolio-mcp logoportfolio-mcp
↳Compare current allocation against a target portfolio and suggest rebalancing actions.
↳Query specific assets, such as CDBs maturing in a given year.
↳List portfolio positions grouped by asset class with detailed values.
↳Get a comprehensive portfolio summary including P&L, FGC coverage, and maturity overview.
↳Calculate time-weighted return (TWR) and money-weighted return (MWR) for the portfolio.
FAQ

FAQ

What is the difference between search-boost and portfolio-mcp?
Both search-boost and portfolio-mcp are in the RAG / Knowledge Base category. search-boost has 58 stars, while portfolio-mcp has 12 stars.
Which is better, search-boost or portfolio-mcp?
The best choice depends on your use case. Choose search-boost if Empowering AI coding agents with advanced web search., and portfolio-mcp if Compare current allocation against a target portfolio and suggest rebalancing actions..
Is search-boost free or open source?
Yes, search-boost is open source on GitHub (MIT).
Is portfolio-mcp free or open source?
Yes, portfolio-mcp is open source on GitHub (MIT).
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