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"A planner for grouping travel activities by location and creating daily itineraries" matching MCP servers:

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    A Model Context Protocol server that enables LLMs to perform IP geolocation, reverse geocoding, and detect the host's public IP without requiring API keys.
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    MIT
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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    Apache 2.0
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    An MCP server that enables users to search for recipes and cooking instructions via the API Ninjas Recipe API. It supports querying specific dishes and provides paginated results for recipe discovery.
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    MIT
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    A Model Context Protocol (MCP) server that connects LLMs to the Zendesk Support & Help Center APIs — with per-user OAuth 2.1 PKCE authentication and fine-grained tool visibility controls.
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    MIT
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    Enables access to current inflation data including monthly and annual inflation percentages using CPI (Consumer Price Index) or HICP (Harmonized Index of Consumer Prices) indicators through the API Ninjas Inflation API.
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    MIT
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    Enables users to retrieve random interesting facts from the Facts By API Ninjas API. It supports fetching multiple facts at once through a simple limit parameter via the Model Context Protocol.
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    MIT
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    An MCP server that bridges AI agents to the eyeot ERP, exposing ~600 business actions (CRM, sales, stock, HR, finance, etc.) as MCP tools over stdio via OAuth 2.1 authentication.
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    Provides LLMs with real-time, historical, and forecast Australian weather data via Open-Meteo, using plain-English location keys and fuzzy search.
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    MIT
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    Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.
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    MIT
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    Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.
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    A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.
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    MIT