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"Managing Docker Containers and Applications" matching MCP servers:

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    Exposes Arcane Docker management capabilities to AI agents, covering containers, images, volumes, networks, Compose projects, registries, vulnerability scanning, and more with 123 tools across 13 modules.
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    MIT
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    An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.
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    Apache 2.0
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    Provides access to Kenya's civic datasets including parliament records, county budgets, SACCO registry, and drought data through MCP tools. Enables AI agents to analyze and query Kenyan public data for civic applications.
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    Enables data analysis on CSV/Excel files using pandas. Supports profiling, column interpretation, sandboxed code execution, and interactive chart generation.
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    MIT
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    MCP server for managing multiple SSH servers via AI assistants, offering tools for remote command execution, file operations, and system monitoring.
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    MIT
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    Self-hosted knowledge backend for AI agents. Provides 11 MCP tools for hybrid vector + keyword search, container-isolated knowledge bases, and 4 storage connectors (S3, Azure Blob, MinIO, filesystem). Built with .NET, runs via Docker.
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    MIT
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    Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.
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    MIT
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    Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.
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    MIT
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    Wraps Claude Code as tools for MCP clients, enabling autonomous coding tasks via a 4-tool lifecycle with session management, async polling, and permission controls.
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    MIT
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    An MCP server that enables AI assistants to perform web searches on Perplexity.ai using browser automation instead of an official API. It supports persistent authenticated sessions and returns search results along with cited sources directly to the client.
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    MIT
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    Exposes health segmentation data from the Pathways platform, enabling natural language queries about population segments, metrics, and geographic distributions across countries like Senegal and Kenya.
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    Stop grepping. Start knowing. EdgeHop turns a codebase into a queryable graph and serves it over MCP — find where a symbol lives, who calls a function, the type hierarchy, and the shortest path between two symbols, resolved from the compiler's semantic model instead of text search. Language support is pluggable: C#/Razor and JavaScript/TypeScript today, with more extractors on the way — and it re
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    Apache 2.0
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    A smart AniList integration for the Model Context Protocol that provides AI assistants with tools for searching media, managing watchlists, and analyzing user anime or manga tastes. It goes beyond basic API calls by offering personalized recommendations, taste comparisons, and natural language profile summaries.
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    MIT