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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
    66
    143 PyPI
    413
    MIT
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    Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.
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    163
    MIT
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    A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.
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    AGPL 3.0
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    Enables agents to sign into websites through a real browser without exposing passwords, keeping cookies in a local Chrome profile and providing tools for browsing and managing authenticated sessions.
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    MIT
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    Universal session & handoff layer for AI coding agents: shared task, decision, blocker and test state, checkpoints, and deterministic handoff between Claude Code, Codex, OpenCode, Cursor, Cline, pi and omp. Local SQLite, git-aware, 25 tools + 7 resources over stdio or streamable-http.
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    MIT
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    Provides local, agentic semantic recall over Claude Code session history, enabling the agent to search past discussions semantically, expand turns, and grep transcripts.
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    MIT
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    Enables AI agents to search and read Internet Archive items, upload files to archive.org items, and upload or list SourceForge release files over SSH/SFTP, with write tools gated by credentials.
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    MIT
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    Local macOS MCP servers for Mail, Calendar, Reminders, Notes, Contacts, Messages, Shortcuts, Files, Maps, and system tools. The unified Apple Tools server and individual app servers run over stdio with native macOS permissions; this is an MIT-licensed community project, unaffiliated with Apple.
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    34
    MIT
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    A different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep
    5
    74 PyPI
    1
    MIT
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    Provides read-only access to local Pi coding-agent session transcripts, enabling literal text search, exact session lookup by UUID, deterministic focused context extraction, and stable paginated reading of past conversations. All operations are scoped to a chosen project or all projects and never invoke a nested model.
    4
    MIT
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    Enables AI agents to establish and manage persistent SSH connections to remote hosts for executing commands. Supports SSH config files, multi-host management, and automatic reconnection with thread-safe concurrent operations.
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    44 PyPI
    11
    MIT
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    Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.
    4
    388 npm
    MIT
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    Enables inspection of the local session stores kept by Codex, Claude Code, Antigravity, OpenCode, Freebuff and Grok through a single read-only interface, exposing recent sessions, individual session events, and full-history search. It also generates a one-call markdown handoff brief covering the goal, files touched, last observed state, blocker and suggested next steps, so a different agent or operator can resume work without cloud services or manual context copying.
    4
    MIT
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    Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.
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    MIT
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    Enables log analysis for Tenable Patch Management (SaaS and on-prem) by parsing, de-duplicating, and decoding server/client logs into structured verdicts, ranked issues, and known-issue fixes.
    11
    MIT
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    Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
    7
    43
    Apache 2.0
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    MCP server providing persistent memory for AI applications, enabling Claude to store and recall memories with hybrid search and knowledge graph.
    6
    65
    MIT
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    MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.
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    251 npm
    11
    MIT
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    Persistent knowledge graph MCP server with SQLite backend, offering graph traversal, fuzzy search, and temporal queries for entities and relations. It serves as a drop-in replacement for the npm mcp-server-memory with enhanced capabilities.
    12
    MIT
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    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
    12
    18,541 PyPI
    4,452
    AGPL 3.0