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"Getting the Most Out of Jina Framework" matching MCP servers:

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    Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
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    MIT
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    x402 capability chassis: 170+ AI-callable, pay-per-call data tools (US/global equities, crypto/DeFi, prediction markets, gov/legal, research, infra) settled in USDC on Base mainnet via the Coinbase CDP facilitator. No API keys or accounts — the x402 payment is the auth. Remote MCP at https://the-stall.intuitek.ai/mcp.
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    MIT
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    Ask Claude "What's the cash rate?" or "What's AUD/USD today?" and get the real number from the Reserve Bank of Australia. Wraps RBA's F-tables with plain-English access to interest rates, FX rates, deposit rates, and mortgage rates.
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    MIT
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    An extensible framework that exposes quantitative research functions and financial data connectors, such as FRED, via an MCP server. It enables users to perform complex financial modelling, data retrieval, and autonomous research loops with built-in guardrails and pluggable components.
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    A Model Context Protocol server that enables AI assistants to manage Splitwise expenses using natural language, with support for voice commands, smart name matching, and advanced split configurations.
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    MIT
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    Provides 31 AI-powered crypto trading tools for Claude, Cursor, and any MCP client, enabling strategy creation, backtesting, bot deployment, copy trading, and portfolio management across multiple exchanges.
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    Enables AI agents to query merchant operational signals like return rates, fulfillment accuracy, and chargeback ratios published through the Disclose protocol. Provides tools to fetch merchant disclosures and check signal coverage for completeness.
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    MIT
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    Provides access to U.S. labor market data including employment statistics, Consumer Price Index inflation rates, and wage information. Users can query specific time series data or use shortcuts for common economic indicators like unemployment and industry-specific employment.
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    Enables AI agents to interact with the Lido protocol for ETH staking, position management, and governance participation across Ethereum and L2 networks. It provides tools for querying balances, simulating transactions, and executing complex workflows like withdrawals and DAO voting through a safety-first interface.
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    Most trading signals are noise. AlphaAssay puts them on trial — deflated Sharpe, out-of-sample, leakage forensics — and returns signed pass/fail verdicts anyone can verify. Methodology audits, not investment advice.
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    Apache 2.0
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    Enables AI assistants to interact with the QuantConnect cloud platform for algorithmic trading. Supports creating and managing trading strategies, running backtests, deploying live algorithms, and performing comprehensive trading operations through the QuantConnect API.
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    Apache 2.0
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    Enables calculation of the most economical fuel (gasoline, ethanol, or natural gas) based on prices and vehicle consumption, following the 70% rule for ethanol and 60% for GNV.
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    Verified validation of structured identifiers — IBAN, payment cards, ISBN-13 and VIN — for AI agents. Runs the real checksum algorithms (mod-97, Luhn, mod-10, ISO 3779) instead of letting the model guess, and returns structured results with clear errors.
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    Apache 2.0
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    From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the market is redundant idea loops, overfit with confidence, and waste days exploring nonsense. Varrd is the infrastructure and guardrails to prevent those f
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    MIT
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    The most comprehensive everyday calculator MCP server — 501 tools across 22 categories covering 8 countries' tax systems (FR, BE, CH, CA, US, UK, MA, SN). Finance, health, math, science, construction, conversions, education, sport, cooking, travel, and more. Free, no API key required. Streamable HTTP transport.
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    MIT