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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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    Academic Free v1.1
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    Ed25519-signed market-state receipts for 28 exchanges: is the venue open right now, as a receipt any agent can verify without trusting the operator, fail-closed (unknown is reported as closed). MCP tools: get_market_status, get_market_schedule, list_exchanges, get_payment_options. Free tier 500 calls a day with an instant key; x402 pay-per-call at 0.001 USDC on Base; Builder 99 USDC a month
    MIT
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    Mandatory human approval gate for autonomous AI agents. Before any critical, irreversible, or financially significant action executes — file deletion, production deployment, financial transaction — the agent calls oracle_validate. A human receives a real-time Telegram notification with full context and taps Approve or Reject. The agent waits for the decision before proceeding.
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    Enables AI assistants to create and manage Cursor Cloud Agents that autonomously work on GitHub repositories, including creating tasks, monitoring progress, and automatically generating pull requests.
    20 npm
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    MIT
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    Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.
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    MIT
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    Provides AI agents with secure, natural-language access to Oracle Cloud Infrastructure through 69 tools covering services like compute, storage, networking, and databases. It features deep IAM integration and supports deployment across platforms like Claude Desktop, Cursor, and OCI Generative AI.
    MIT
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    A Model Context Protocol server that enables agent applications like Cursor and Cline to integrate with Alibaba Cloud Function Compute, allowing them to deploy and manage serverless functions through natural language interactions.
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    MIT
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    Implements a structured communication bus that allows AI agents to send 'oracle calls' to human operators for resolving complex decisions or judgment calls. It facilitates hierarchical message passing between agents and humans using a file-based request/response system with interaction history archiving.
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