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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
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    MIT
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    Enables searching live job postings, aggregating labour-market slices, and reporting how long listings have been open, with filters for titles, location, salary, and more.
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    MIT
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    Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
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    AGPL 3.0
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    Connects Claude to Ascend job search data, providing read-only access to job applications, resume, dashboard stats, and analytics.
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    Enables querying Australian development applications and address-level property intelligence via the DA Leads API, offering tools for DA search, nearby applications, council/category lookups, SQL analysis, and property samples.
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    Provides comprehensive Biblical research tools including scripture lookup, interlinear Greek/Hebrew data, and Strong's concordance within a Protestant theological framework. It enables AI applications to perform full-text biblical searches, topical studies, and cross-referencing using authoritative theological data.
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    MIT
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    Dune MCP Server connects your AI assistant to Dune Analytics, the leading platform for blockchain data. Execute SQL queries across Ethereum, Solana, and 20+ chains to analyze DEX trades, token transfers, NFT sales, and wallet activity. Manage saved queries, upload custom datasets, and access curate
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    MIT
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    MCP server for the Internet Archive's Wayback Machine. Search archived snapshots, extract page text from a specific date, track how a site has changed over time, check if broken links are recoverable, and perform research across Internet Archive collections.
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    MIT
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    Enables LLM/agent applications to execute Stata code, load and inspect data, obtain structured regression results and graphs, and manage background tasks through the Model Context Protocol.
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    MIT
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    Provides access to FluentLab's funding database, enabling users to search for funding opportunities and retrieve document checklists required for specific funding programme applications.
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    MIT
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    Webhound is a research engine with an explicit effort control: a prompt defines the investigation and a dollar budget defines how much work it deserves. It returns cited reports or sourced datasets with the working documents, claims, sources, limitations, and evidence pack behind the answer.
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    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.
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