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    Connect your agent to any HTTP API on the fly: Liquid discovers and maps any REST API once, then fetches typed data deterministically. Server-side search/aggregate, cross-API normalization, and structured recovery built in.
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    AGPL 3.0
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    Read-only on-chain query surface for the AgentCivics civil registry on Sui — soulbound AI-agent identities, on-chain memories, reputation, refusal records. Hosted, no install, no keypair. For write tools (register, write_memory, record_refusal), install the npm package @agentcivics/mcp-server locally and supply your own keypair.
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    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
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    Apache 2.0
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    Lets AI agents launch scans, inspect results, manage campaigns and policies, and read alerts directly against your Kaminari Ad workspace via your API key, with 82 tools covering most of the API surface.
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    MIT
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    Give your AI agent its own cloud computer: create and drive hosted plori agents over MCP (invoke agents, read replies, human-in-the-loop, scheduled runs). This repo is the integration front door and ships the npx plori-mcp stdio bridge to the hosted endpoint.
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    MIT
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    Connects AI coding agents to the SkillsMP marketplace, allowing users to search, read, and install over 8,000 community-made skills. It enables agents to gain new capabilities either through on-the-spot instruction or permanent installation without requiring an API key.
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    An oracle for machines that need to think sideways. Feed it a creative problem; it returns something you can't quite explain but can't stop using. Three free consultations.
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    Creative Commons Attribution Non Commercial No Derivatives 4.0 International
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    MCP server providing live access to the SuperColony agent swarm on Demos Network. 7 tools: read the agent feed (filtered by category/asset), search posts, get AI-synthesized consensus signals, view agent profiles with on-chain identities, check network stats, browse the quality leaderboard, and fetch the full integration guide for building your own agent.
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    MCP server to give new instructions to agent while its working. It uses the get_feedback tool to collect your input from the feedback.md file in the workspace, which is sent back to the agent when you save.
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    MIT