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"New York Times" matching MCP servers:

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    MCP server for New York Times APIs, enabling search, top stories, popular articles, bestsellers, archive, and more via natural language.
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    MIT
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    Enables AI assistants to search New York Times Cooking recipes, fetch full recipes with ingredients and steps without login, and browse personal saved recipe box with optional authentication.
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    MIT
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    Enables access to New York Times content through 5 specialized tools including article search, real-time news wire, most popular articles, monthly archives, and bestseller lists.
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    MIT
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    Enables natural language access to New Relic for monitoring, querying, and managing dashboards, entities, alerts, and deployments via the Model Context Protocol.
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    MIT
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    Provides time and timezone functionality for LLMs, enabling them to get current time information across different timezones and convert times between zones.
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    MIT
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    Enables AI assistants to interact with New Relic monitoring and observability data through programmatic access to New Relic APIs. Supports APM management, NRQL queries, alert policies, synthetic monitoring, dashboards, infrastructure monitoring, and deployment tracking.
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    MIT
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    A Python microservice that provides utilities for retrieving current times and converting between different global timezones with robust validation.
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    MIT
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    A geo-distributed HTTP proxy for AI agents, enabling web fetching from multiple global regions (Frankfurt, Sydney, New York, San Francisco) with support for screenshots, scraping, and JS rendering.
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    MIT
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    A TypeScript server that provides time-related tools through the Model Context Protocol, allowing users to get current time in various timezones and convert times between different IANA timezones.
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    MIT
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    Converts civil time to true solar time and audits whether civil and solar times cross Chinese 时辰 boundaries, for time-sensitive divination workflows.
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    MIT
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    Provides current time information and timezone conversion capabilities using IANA timezone names and automatic system detection. It enables LLMs to fetch current times across different regions and convert specific times between timezones.
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    MIT
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    Provides AI models with real-time data about New England's power grid through a Model Context Protocol interface, enabling questions about current power generation, fuel mix, and marginal fuels.
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    MIT