"Qwant" matching MCP servers:

Provides retrieval and analysis tools for a quantitative-finance research library, enabling whole-passage answers with verifiable citations, citation checking, entity graph exploration, and corpus inspection.

Enables AI agents to perform market analysis through typed access to deterministic market data, technical indicators, backtesting, and position sizing via the Model Context Protocol.

Analyzes the instrument currently open on your TradingView chart using 311 published quantitative models and free market data, returning a confidence-scored verdict with position sizing. Supports universe scanning and verified Pine Script export.

Enables running quantitative finance coding tasks through MCP, where an agent writes, executes, and repairs Python code using discovered library functions and returns structured results along with saved artifacts.

A comprehensive quantitative finance MCP server providing live financial analysis, including price/risk metrics, HMM market regime detection, backtesting, options analytics, fundamentals, sentiment, Monte Carlo simulation, pairs trading, factor models, and portfolio optimization. It integrates with Claude via natural language commands and uses only free data sources.

Provides tools to research crypto trading strategies via backtesting, walk-forward validation, and paper trading, with a deflated-Sharpe overfitting check. Enables natural-language-driven analysis and interpretation of strategy performance.

Read-only market briefings with source evidence and freshness limits. Discover capabilities, check health, browse latest stories, retrieve a story by ID, and search the published archive. Public Streamable HTTP MCP; no credentials or trading execution.

Enables MCP clients to access quantitative investment research, factors, strategies, and portfolio capabilities through the official SKZ CLI.

Provides persistent, local-first memory with knowledge graph and hybrid search for AI coding agents, reducing token usage by storing decisions, patterns, and codebase context.

Maps Salesforce metadata into a Neo4j graph database, enabling AI agents to reason about schema and generate accurate SOQL queries.

A quantitative finance MCP server providing 24 tools for option pricing, portfolio optimization, risk measurement, fixed income analysis, and utility functions, enabling AI clients to perform professional financial calculations.

An MCP server providing A-share market data tools (daily OHLCV, real-time quotes, financials, northbound capital flow, sector lists) with zero dependencies, also serving as a template for building custom MCP servers.

PyPI-launched MCP server that exposes a living project model and outcome telemetry as read-only resources for MCP-aware clients.

A read-only MCP operations console for monitoring an algorithmic trading fleet, providing heartbeat, reconciliation, alert, and audit data through six typed tools.

Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.

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.

MCP server for MT5 strategy development on macOS/Linux with 89 tools to compile, backtest, analyze, optimize, debug crashes, and manage MQL5 Expert Advisors — no Windows required.

An MCP server that gives Claude AI direct access to your Obsidian vault, enabling natural language search, note creation, file management, and automated workflows.

Provides quantitative portfolio analysis tools, including return, volatility, Sharpe ratio, VaR, correlation, and rebalance simulation, using bundled OHLCV data over stdio.

Provides market-data and quant-research tools including live stock prices, price history, moving averages, and SMA-crossover backtesting, with a synthetic-data fallback when external data is unavailable.