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  • A
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    A Model Context Protocol (MCP) server that gives AI assistants direct access to live AVEVA PI System documentation, eliminating hallucination on PI-specific topics.
    3
    MIT
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    Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.
    3
    MIT
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    Delegates coding tasks to your locally installed pi CLI, inheriting providers, models, and extensions, with persistent sessions and cancellable calls.
    6
    11 npm
    MIT
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    Enables delegating coding tasks to a pi agent as a steerable background worker, allowing mid-run redirection, follow-ups, and keeping the delegate's context isolated from your main conversation.
    12
    25 npm
    19
    MIT
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    Enables AI assistants to inspect and administer a self-hosted Crab-hole DNS filter over SSH, including checking status, querying blocklists, managing allow/block rules, and safely rolling out validated configuration changes.
    9
    MIT
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    Local-first MCP runtime for coding agents with bounded workspace access, content-preconditioned writes, AST search, LSP navigation and diagnostics, and Git status/diff. Designed to give coding agents useful repository access without treating unrestricted shell access as the default integration boundary.
    13
    3
    MIT
  • A
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    Zero-dependency, single-file MCP server for Termux/Android, Raspberry Pi, and Linux. No external dependencies required.
    MIT
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    Exposes a unified agent interface over multiple backends (pi-sdk, pi-rpc, dsh, qwen, grok, kimi, mcode) as an MCP server with tools for prompting, resuming sessions, listing models/backends, subscribing to events, and aborting runs.
    MIT
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    Enables AI agents to monitor, trace, query, and manage local DNS resolver chains using MCP, with health checks, packet tracing, Pi-hole log access, and automated failover via natural language.
    8
    MIT
  • A
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    Exposes Pi execution nodes to any MCP client so it can dispatch sub-tasks to local or cloud models, poll and cancel them, and get command-based acceptance, diff-based evidence chains and automatic escalation to stronger models on failure.
    31 npm
    MIT
  • A
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    Enables algorithmic trading compliance with MiFID II Article 17, providing tools for strategy classification, RTS 6 testing, and best execution audits. Also supports EU AI Act compliance.
    42 PyPI
    MIT
  • A
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    Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.
    24
    489 npm
    MIT