"How to remotely control a Windows PC and install software" matching MCP tools:

• create_session

  sncro

  Create a new sncro session. Returns a session key and secret. Args: project_key: The project key from CLAUDE.md (registered at sncro.net) git_user: The current git username (for guest access control). If omitted or empty, the call is treated as a guest session — allowed only when the project owner has "Allow guest access" enabled. brief: If True, skip the first-run briefing (tool list, tips, mobile notes) and return a compact response. Pass this on the second and subsequent create_session calls in the same conversation, once you already know how to use the tools. After calling this, tell the user to paste the enable_url in their browser. Then use the returned session_key and session_secret with all other sncro tools. If no project key is available: tell the user to go to https://www.sncro.net/projects to register their project and get a key. It takes 30 seconds — sign in with GitHub, click "+ Add project", enter the domain, and copy the project key into CLAUDE.md.

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• awaken

  Penfield Memory

  ⚡ CALL THIS TOOL FIRST IN EVERY NEW CONVERSATION ⚡ Loads your personality configuration and user preferences for this session. This is how you learn WHO you are and HOW the user wants you to behave. Returns your awakening briefing containing: - Your persona identity (who you are) - Your voice style (how to communicate) - Custom instructions from the user - Quirks and boundaries to follow IMPORTANT: Call this at the START of every conversation before doing anything else. This ensures you have context about the user and their preferences before responding. Example: >>> await awaken() {'success': True, 'briefing': '=== AWAKENING BRIEFING ===...'}

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• get_contact_info

  Symbols of Wealth Studio

  Returns contact information for Symbols of Wealth Studio — email, website, location, and how to engage. Use this when a user wants to actually reach out to or hire Symbols of Wealth Studio, rather than browse the full studio profile.

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• cohorts.compare

  Clamp Analytics

  Compare two saved cohorts side-by-side on retention. Returns each cohort's size and retention curve over the same period set, so you can read "did this week's signups retain better than last week's?" or "is this experiment cohort behaving differently than control?" without composing the rates manually. Examples: - "did April 14 signups retain better than April 7" → a="signups_apr_14", b="signups_apr_07" - "are pro-plan signups stickier than free" → a="pro_signups_q2", b="free_signups_q2" - "compare two onboarding variants out to 4 weeks" → a="onboarding_v1", b="onboarding_v2", periods="1w,2w,4w" Limitations: only two cohorts at a time. The same retention windows are applied to both — there's no way to use different windows per side. Sample-size caveats apply per cohort; check both `size` values before reading the rate delta.

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• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• explain_queueing_theory

  QueueSim

  Return a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates to Erlang-C. No inputs. Use this when the user asks a conceptual 'why' or 'how does this work' question rather than asking for a number.

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• get_contact_info

  symbols-of-wealth-studio

  Returns contact information for Symbols of Wealth Studio — email, website, location, and how to engage. Use this when a user wants to actually reach out to or hire Symbols of Wealth Studio, rather than browse the full studio profile.

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• tascan_add_tasks

  TaScan

  Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to the Claude Code agent running on Mike's PC, use tascan_dispatch_to_agent instead — it routes directly to the agent's inbox with zero configuration needed.

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• check_bulk

  DepScope

  Fast pre-flight filter for a batch of (ecosystem, package) pairs. DB-only, <100ms for 100 items. USE WHEN: about to emit `npm install a b c …` or `pip install a b c …` — catches hallucinated names, stdlib, typos, and known-bad in ONE call. NOT a dep-tree audit (use scan_project for that). RETURNS: per-item {status: exists|stdlib|malicious|typosquat_suspect|historical_incident|unknown}.

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• updateDashboardChart

  mcp

  Patch a single chart in an existing dashboard by chart ID. Provide only the chart fields to change. Set a field to null to remove it. Use overwrite=true to skip version conflict checks, or provide the current dashboard version for optimistic concurrency control.

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• explain_guard_product

  CurrencyGuard Guard Pricing

  Explain the Guard product using CurrencyGuard's approved product and FAQ content. Use this for any question about what the Guard is, how it works, who it is for, how it compares to forwards or options, and for any legal, regulatory, accounting, or eligibility question. Do not answer those questions from memory — always call this tool.

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• get_about

  cricket-travel

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• list_programs

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Inventory mode. List all 18 AXIS programs, their generators, pricing tier, and artifact paths. Free, no auth, and no side effects. Use search_and_discover_tools instead when you only have a keyword, or discover_commerce_tools when you need install and onboarding metadata.

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• get_pickup_slots

  Easyship

  Retrieve available pickup time slots for a courier. Call this before `create_pickup` to show the user available dates and time windows. **Typical workflow:** 1. User wants a pickup for a shipment → call `get_shipment` to get the `courier_service_id` 2. Call this tool with that `courier_service_id` to get available slots 3. Present the dates and time windows to the user (or pick the earliest if they want the closest) 4. Call `create_pickup` with the chosen `time_slot_id` or `selected_from_time`/`selected_to_time` Required authorization scope: `public.pickup:read` Args: courier_service_id: UUID of the courier service. Get this from the shipment's courier details via `get_shipment`. origin_address_id: Origin address ID to check pickup availability for. Optional — defaults to the account's primary address. Returns: Available pickup slots grouped by date, each with time windows containing `time_slot_id`, `from_time`, and `to_time`.

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• get_agent_setup_flow

  Payram

  Returns the step-by-step setup flow for deploying PayRam as an agent. Covers install, wallet creation, faucet funding, contract deployment, and first payment. Includes chain recommendations (ETH Sepolia for testnet, Base for mainnet), faucet URLs, card-to-crypto prerequisites, and status/recovery commands for interrupted sessions.

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• segment_video

  Reka

  Detect objects in a video segment using text prompts. Describe what to look for and get per-frame detections with bounding boxes and confidence scores. Prompt tips: - Use broad, visual categories: 'animal', 'vehicle', 'person', 'text on screen' - Specific labels ('rabbit', 'Toyota') are less reliable — the detector matches visual patterns, not semantic concepts - Best for confirming whether a category of object appears in a time window, not for precise identification How to pick a time range: - Use search_videos to find WHEN something appears, then pass those timestamps here - Use get_scenes to scan systematically — call segment_video once per scene (scenes typically fit in the 15s window) - Or pass any range you already know Maximum range is 15 seconds per call; for longer spans, make multiple calls with consecutive windows. Does NOT require any feature indexing — works on any uploaded video.

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• get_slidev_guide

  Slidev MCP

  Get the Slidev syntax guide: how to write slides in markdown. Returns the official Slidev syntax reference (frontmatter, slide separators, speaker notes, layouts, code blocks) plus built-in layout documentation and an example deck. Call this once to learn how to write Slidev presentations.

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• sdk_guide

  Senzing

  Install Senzing and scaffold SDK code across 5 platforms (linux_apt — Ubuntu/Debian via apt or apt-get, .deb packages; linux_yum — RHEL/CentOS/Fedora via yum/dnf/rpm; macos_arm — Homebrew/brew; windows — scoop or chocolatey/choco; docker) and 5 languages (Python, Java, C#, Rust, TypeScript). Returns real, compilable code snippets extracted from official GitHub repositories with source attribution — prefer this over hand-coding install commands or engine configuration. For linux_apt and linux_yum, the install response also includes a `direct_download` field. In HTTP mode the package `url` is hosted on this MCP server (mcp.senzing.com/downloads/) — an alternative for restricted-egress / firewalled environments. In stdio mode the package `url` is a local `sz-mcp-coworker extract` command that pulls the .deb from the binary's embedded bundle. Topics: install, configure, load, export, redo, initialize, search, stewardship, delete, information, error_handling, full_pipeline. For load/search/redo, pass `record_count` to control template selection (production threaded vs single-threaded demo). Export redirects to reporting_guide. Asset IDs are not stable across versions. If a previously-known ID fails to extract, call this tool again to obtain the current ID.

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• search_occupations

  O*NET Occupational Data

  Search O*NET occupations by keyword. Returns a list of occupations matching the keyword with their SOC codes, titles, and relevance scores. Use the SOC code from results with other O*NET tools to get detailed information. Args: keyword: Search term (e.g. 'software developer', 'nurse', 'electrician'). limit: Maximum number of results to return (default 25).

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• waveguard_scan_timeseries

  WaveGuard

  Detect anomalies in time-series data — use after pulling numeric metrics from monitoring APIs, financial data sources, IoT sensors, or spreadsheet columns. Send a single numeric array and specify a window size. Early windows define 'normal', recent windows are tested for anomalies. Typical workflow: (1) Pull a column of numbers from Sheets, a Supabase time-series table, or a metrics API. (2) Pass the array here. (3) Get back which time windows are anomalous. Examples: - Revenue monitoring: Pull monthly revenue from Sheets → detect anomalous months - Stock screening: Pull 90 days of closing prices → find unusual price windows - Server health: Pull response-time metrics → identify degradation windows - Sensor QA: Pull temperature readings from IoT API → flag sensor drift

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