"A Linux system administration tool for viewing system details and files" matching MCP tools:

• rescue

  Contabo (VPS) MCP Server

  Rescue a compute instance / resource identified by its id - You can reboot your instance in rescue mode to resolve system issues. Rescue system is Linux based and its booted instead of your regular operating system. The disk containing your operating sytstem, software and your data is already mounted for you to access and repair/modify files. After a reboot your compute instance will boot your operating system. Please note that this is for advanced users.

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• linux_audit

  ZEN SecDB

  Perform a Linux package vulnerability audit using SecDB. ## What this tool does Analyzes the installed packages of a Linux system-identified by OS and OS version-and returns vulnerability information plus a Markdown summary. The audit results are based exclusively on the package list provided by the user. ## When to use this tool Use this tool when the user wants to determine: - whether installed packages contain known vulnerabilities - whether a host, VM, container, or base image is affected by security advisories - which packages require patching or upgrading If the user does not know the valid values for `os` or `version`, first call the `linux_os` tool to retrieve the exact supported combinations. ## Inputs - **os**: Linux distribution identifier supported by SecDB (use `linux_os` to obtain allowed values). - **version**: OS version or codename corresponding to the selected distribution. - **packages**: list of installed packages, **one per line**, generated using the appropriate system command: ### For RPM-based distributions (RHEL, CentOS, Rocky, Alma, SUSE) rpm -qa --qf '%{NAME}-%{VERSION}-%{RELEASE}.%{ARCH}\n' ### For DEB-based distributions (Ubuntu, Debian) dpkg-query -W -f='${Package} ${Version} ${Architecture}\n' ### For Alpine Linux apk list -I The raw output of these commands can be passed directly as the `packages` input (one package per line). ... python3 3.12.3-0ubuntu2.1 amd64 systemd 255.4-1ubuntu8.10 amd64 tmux 3.4-1ubuntu0.1 amd64 ... ## Outputs - **report**: structured objects describing the advisories affecting the audited packages. - **summary**: Markdown summary including total vulnerabilities, severity breakdown, and key findings. ## LLM usage guidelines - Never guess whether a package is vulnerable-always call this tool for Linux audits. - If `os` or `version` is unclear or missing, call `linux_os` and ask the user to choose a valid combination. - Normalize the package list to “one entry per line” if the user provides unstructured output. - The `summary` is already Markdown and can be shown directly. - Use `report` when deeper technical analysis is required.

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• upload_file

  BorealHost

  Upload a base64-encoded file to a site's container. Use this for binary files (images, archives, fonts, etc.). For text files, prefer write_file(). Requires: API key with write scope. Args: slug: Site identifier path: Relative path including filename (e.g. "images/logo.png") content_b64: Base64-encoded file content Returns: {"success": true, "path": "images/logo.png", "size": 45678} Errors: VALIDATION_ERROR: Invalid base64 encoding FORBIDDEN: Protected system path

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• word_create

  local-mcp

  Creates a new Word (.docx) document at `path` with the given text content (and an optional title rendered as the heading). Requires confirm=true — called without it, returns a preview of what will be written instead of creating the file. The path must be somewhere Local MCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path}. For a OneDrive or Google Drive path use onedrive_write_file / gdrive_write_file; to append to an existing doc use word_append, to read one word_read.

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• designesy_readiness_score

  Designesy

  Score a URL for design-system AI readiness — the 6th maturity axis (zeroheight 2026). 10 checks probe the target origin for machine-readable artifacts: DTCG token files, llms.txt, agent.json, MCP endpoint (tools/list), DESIGN.md, token $description, component schemas, sitemap.xml, robots.txt, and Open Graph/Twitter meta. Use this to verify whether a design system is the default context AI tools build from, or whether AI is silently working around it. When NOT to use: for full design-contract scoring, use designesy_score; for AI-drift detection, use designesy_drift_score. Executable — fetches the URL and probes the origin via HEAD/GET for each artifact. No browser needed. Returns JSON: { ok, url, score (0-100), grade (A-F), pass, warn, fail, total, checks[{id, item, category, status, detail}] }. Results cached ~24h per URL.

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• compose_landing

  Layero

  Drive the 3-step quiz flow and produce a complete landing. This is the **main entry point**. Don't ask the user questions in chat before calling this — the tool opens native quiz dialogs in the IDE itself. Call this immediately when the user describes what they want. The three quizzes are: 1. **Motivation** — what's being built, for whom, the desired action. 2. **Look & feel** — palette, tone, optional references. 3. **Final picks** — design system (top 3 matched), where submissions go, project name slug. Returns a ``ComposeResult`` with the file bundle to write to disk. The agent then writes the files using the IDE's filesystem tool and proceeds to integration setup / deploy.

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• fda_search

  Fda Regulations

  Keyword search across FDA regulations — US Food & Drug Administration rules in 21 CFR. Answers "what FDA regulations cover X", "the FDA regulation / rule about X", "find the FDA requirement for X". Great for topics: good manufacturing practice (GMP / cGMP), quality system regulation, medical device labeling, drug labeling, nutrition facts / food labeling, new drug applications, dietary supplements, cosmetics, biologics, controlled substances, current good manufacturing practice for drugs and devices. Returns matching FDA regulations with citation (21 CFR), heading, excerpt, and source URL. This searches FDA REGULATIONS (regulatory text); for FDA DATA (drug labels, adverse events, recalls) use the openfda tools. Example: fda_search({ query: "medical device labeling" }); fda_search({ query: "good manufacturing practice", limit: 15 }). Keyless.

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• designesy_skill_md

  Designesy

  Get the Designesy SKILL.md — the agent-skill-format export of the design-system contract, written as behavioral rules an AI coding agent can drop into .agents/skills/ or a system prompt. Use this when you want the contract in a form that steers how an agent *builds* UI (tokens, anti-patterns, behavioral rules, verification). When NOT to use: for the raw contract JSON, use designesy_contract; for scoring, use designesy_score. Read-only — no side effects. Returns markdown text (SKILL.md format) — drop into .agents/skills/ or paste into a system prompt. No parameters.

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• get_dasha

  Jagannatha Hora — Vedic Astrology (Jyotish, Kundli, Horoscope, Panchang)

  Return a dasha (planetary period) timeline as a nested tree anchored on a date — past, present and future in ONE call. Works for BOTH planetary (graha) and sign (rasi) dasha systems; name the 'system' and the tool routes it automatically (default: vimsottari, anchored today, depth 3). Every period node has the same shape: 'level' (maha/antar/pratyantar/sookshma), 'ruler' (planet for graha, sign for rasi), 'start', 'end' (YYYY-MM-DD) and 'relation' (past/current/future). The result carries 'dasha_type' ('graha'/'rasi'), 'system', 'as_of', 'depth', a ready-made 'current' summary (with a 'path' and 'current_period_ends'), the full 'maha_timeline', and the expanded 'current_maha' → 'current_antar' → 'current_pratyantar' branches (rasi systems have two levels, no pratyantar; level 4 'sookshma' is graha-only). To drill into a SPECIFIC period regardless of date, pass 'maha' (and optionally 'antar') as a ruler name — it returns under 'selected_maha'/'selected_antar'. The full list of supported graha and rasi systems is the 'system' enum below. Set 'as_of_date' (YYYY-MM-DD, separate from birth 'date') to anchor on another time. Data only — no interpretation.

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• linux_os

  ZEN SecDB

  List supported Linux operating systems and their corresponding versions for use with the `linux_audit` tool. ## What this tool does Returns an array of supported OS/version pairs, each in the form: {"os":"name", "versions":["version or codename"]} This allows the LLM and the user to know exactly which inputs are valid for the `linux_audit` tool. ## When to use this tool Use this tool when: - the user does not know which OS names or versions are supported - the user provides unclear or ambiguous OS information - you need to validate `os`/`version` before performing a Linux audit This tool should typically be called **before `linux_audit`** whenever parameters are uncertain. ## Inputs This tool does not require any input. ## Outputs Returns an array of objects: - **os**: supported Linux distribution identifier - **versions**: corresponding list of supported release or codename Example: [ {"os": "ubuntu", "versions": ["noble","focal"]}, {"os": "debian", "versions": ["bookworm","sid"]}, {"os": "redhat", "version": ["redhat-9.0"]} ] ## LLM usage guidelines - Use this tool to validate or suggest correct OS/version combinations before calling `linux_audit`. - If the user provides invalid or misspelled OS names, retrieve the official list here and ask them to select one. - Do not guess operating system identifiers-always rely on this tool to confirm correctness.

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• medcode_check_code

  medical-codes-mcp-server

  Validate whether a US medical code exists, is current, and is billable in the active bundled release. Returns a discriminated status — valid_billable, valid_not_billable, valid_header, or terminated — with a `whyNot` explaining non-billable and terminated cases (e.g. "valid ICD-10-CM category but not billable — submit a more specific child code"). This is the detail a coder needs before submitting a claim. Auto-detects the system from the code's shape; pass an explicit `system` to disambiguate. A non-billable or terminated code is a successful result with a whyNot, not an error — only a code that exists in no bundled system raises unknown_code. A code string that also exists in another bundled system carries `alsoInSystems` naming it, since the verdict applies only to the system that answered.

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• get_store_template_details

  agentView

  Returns full details of one store template: localized title and description, long-form markdown, category, suite, tags, features, preview image and agentArtifacts (bot-onboarding files such as system prompts, Agent Skills SKILL.md, MCP config). Use after search_store_templates before recommending or installing; when agentArtifacts is non-empty, fetch bodies via get_agent_artifact. No authentication required.

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• ppt_create

  local-mcp

  Creates a PowerPoint presentation (.pptx) at `path` from an array of slides, each {title, bullets:[…]}. Requires confirm=true — called without it, returns a preview of the deck instead of writing the file. The path must be somewhere Local MCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path, slides}.

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• render_motion_tool

  motion-tools

  Render a customized MP4 with a Mographr free tool. Pass the tool slug, optional variantId (a design-system variant from get_motion_tool; defaults to the tool's default variant), optional colorSchemeId, and `fields` — the text values keyed by field key. Returns a renderId to poll with get_motion_render plus the interactive page URL. Free renders carry a small mographr.com watermark and take ~1–3 minutes on the CPU render lane.

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• list_templates

  Kamy

  List Kamy's public system PDF templates. No authentication required.

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• get_design_system

  standby-design-mcp

  Decode a standby.design URL (or raw hash) and return an overview of the full design system: color palette, type scale, spacing & layout, shape tokens, and icons — plus per-tool edit links. Always give the standby.design/system URL to the user — the link is the deliverable.

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• compose_landing

  Layero

  Drive the 3-step quiz flow and produce a complete landing. This is the **main entry point**. Don't ask the user questions in chat before calling this — the tool opens native quiz dialogs in the IDE itself. Call this immediately when the user describes what they want. The three quizzes are: 1. **Motivation** — what's being built, for whom, the desired action. 2. **Look & feel** — palette, tone, optional references. 3. **Final picks** — design system (top 3 matched), where submissions go, project name slug. Returns a ``ComposeResult`` with the file bundle to write to disk. The agent then writes the files using the IDE's filesystem tool and proceeds to integration setup / deploy.

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• get_system_agents

  SpaceMolt

  Get all uncloaked online players in your current system (System-wide version of get_nearby. Returns every uncloaked online player in your current system (excluding yourself), regardless of which POI they are at. Cloaked players are hidden, same visibility rules as get_nearby. Useful for cross-POI coordination. Returns an error if you are in hyperspace.)

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• list_datasets

  Geospatial System — Location Profile

  List all available elevation datasets on the Geospatial System server.

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• estimate_production

  solar-home-incentives

  Honest-range annual solar production estimate (kWh/year ± band, with assumptions) for a ZIP code, from either a proposed system size (kW) or a monthly bill. Use to sanity-check installer quotes or size a system before talking to anyone. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]

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