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    Enables Claude Code to dispatch opencode CLI tasks as background processes with immediate task handle return, status polling, and result retrieval, avoiding tmux and log parsing issues.
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    A lightweight, zero-dependency Python MCP server that exposes a single do_everything tool. Any AI agent that supports MCP can use it to offload all language-model work to a local OpenAI-compatible endpoint, reducing cost on the agent's primary LLM.
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    MIT
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    Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets. Provides tools for searching, browsing categories, and accessing detailed information about each asset.
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    MIT
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    Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.
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    A TypeScript server implementing the Model Context Protocol (MCP) that provides datetime and timezone information to AI agents and chat interfaces, allowing them to access current time in various timezones.
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    Mozilla Public 2.0
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    An MCP server that bridges Claude Desktop and Claude Code by letting Desktop read and interact with Claude Code Remote Control sessions, enabling cross-agent coordination.
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    MIT
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    Provides comprehensive weather information including current conditions, 7-day forecasts, and air quality data for any city worldwide using the Open-Meteo API. Features real-time weather data, hourly forecasts, sunrise/sunset times, and European Air Quality Index with human-readable descriptions.
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    MIT
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    A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.
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    Apache 2.0
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    MCP Ollama server integrates Ollama models with MCP clients, allowing users to list models, get detailed information, and interact with them through questions.
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    MIT
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    Connect AI agents to OP.GG Esports data and retrieve upcoming League of Legends match schedules effortlessly. Access structured match information through a standardized interface, enhancing your AI's capabilities with real-time esports data.
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