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    AgentShare delivers structured product search and pricing signals for AI agents over REST and MCP (Streamable HTTP). Responses include freshness & coverage metadata so agents can reason about data recency. API keys secure billed endpoints; public discovery at /agent.json and /mcp.json. Currently integrates connected marketplaces and affiliate feeds – roadmap expands to global e-commerce (AliExpre
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    MIT
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    On-chain investigation and analysis tools for Solana blockchain, enabling detection of wash trading, funding source tracing, holder concentration analysis, and MEV/bundle activity identification.
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    Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.
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    MIT
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    Read-only MCP server that enables natural-language queries about Solana NFTs, including ownership history, freeze/burn rights, marketplace sales and floors with source and currency, directly from the chain and marketplaces without sign-up.
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    MIT
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    MCP server giving AI agents access to Solana blockchain data. 7 tools: wallet balances, transaction history, token prices (Jupiter + CoinGecko), token metadata, DeFi yields (Raydium + Orca), and token safety checks (RugCheck scores, holder concentration, insider detection).
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    MIT
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
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    32 npm
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    MIT
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    Enables AI agents to read chain data, execute transactions, swap tokens, and manage wallets on Solana through 38 tools across 7 modules. Supports write operations with a private key and includes built-in prompts for common workflows.
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    MIT
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    Provides tools to access information about religious institutions and community services in Kenya, including Catholic dioceses, Protestant denominations, Muslim communities, and welfare programs.
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    25 PyPI
    MIT
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    Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.
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    235 PyPI
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    Apache 2.0
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    Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.
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    MIT