"A server for designing a portfolio" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

Enables AI-to-AI consultation for critical thinking and complex reasoning via OpenRouter, allowing one AI to delegate tasks to another AI model.

Provides grounded investment decisions with evidence links and invalidation conditions, enabling users to review their portfolio through a structured decision process.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Reads a directory of projects and reports on their stack, git state, deployment targets, and monetization readiness.

Enables retail investors to create calendar-based investment plans, review portfolios, deploy cash, rebalance with fees in mind, and pick stocks using deterministic engines and public data, generating suggested orders only.

Production-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.

Enables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.

An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time.

Enables fetching public repositories for a given GitHub username, returning curated data optimized for LLM context windows.

Enables AI assistants to query the author's career, projects, publications, and technical documents through read-only MCP tools.

Enables AI assistants to query a person's CV and portfolio content via MCP tools and resources, returning grounded answers from local markdown data instead of relying on resume parsing.

An MCP server that exposes an AI project portfolio as queryable tools, allowing users to ask about projects, search by technology, or get details via natural language.

Enables AI assistants to read an IBI NextGen brokerage portfolio, including positions, cash, profit/loss, and recent account activity, through a read-only connection that cannot place, change, or cancel orders.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

Exposes 32 portfolio tools over stdio so MCP-compatible AI clients can read and manage profile, projects, skills, certifications, education, experience, and testimonials from a universal-portfolio instance.

An MCP server that lets recruiters and AI assistants explore your profile, skills, and projects through natural language.

Enables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.

Exposes Vedic astrology tools for birth chart, dasha, transit calculations, and question context analysis.

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

Enables portfolio management, trading, and automated bot operations for Robinhood accounts through MCP tools like get_portfolio, buy_stock, sell_stock, and bot management.

Provides GitHub repository analysis tools for Claude, including repo summaries, commit history, issue tracking, contributor stats, and code quality assessment. Enables natural language queries about code quality, contributor activity, and repository comparisons.

A local-first RAG system that indexes personal documents and enables querying them via an MCP tool, keeping data private with local embeddings.