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    A Stack Overflow for Claude Code agents — a shared pool of solved-problem fixes.An agent hits an error, calls ask_pool for ranked prior fixes; solves something new, calls post_solution. Semantic search + write-time content shield. Free, Apache-2.0.
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    A 7-layer security system for AI agents that detects and blocks prompt injection, data exfiltration, and malicious tool calls. It enables real-time scanning of inputs, outputs, and tool definitions to protect agentic workflows from emerging AI-specific threats.
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    MIT
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    Call, text, or push your phone when an agent needs input mid-task — reply by voice instead of babysitting a long-running or blocked terminal.
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    MIT
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    Human-in-the-loop approval inbox for AI agents: an agent proposes an action (send email, post comment, run a command), a human approves, rejects, or edits it from a web, mobile, or Slack/Discord/Telegram inbox, and the agent only runs on approval. Full audit trail, self-hostable (MIT).
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    Enables AI assistants to query Google AI (Gemini models) via Vertex AI or Google AI Studio with automatic tool selection, multi-turn reasoning, and multimodal input support.
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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 Model Context Protocol server that enables AI-powered interaction with YNAB (You Need A Budget) data, allowing users to query their budgets through conversational interfaces.
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    A Python package that implements a Model Context Protocol server for integrating with Flowise API, allowing users to list chatflows, create predictions, and dynamically register tools for Flowise chatflows or assistants.
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    The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.
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    MIT