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675,931 tools. Updated 2026-10-19 09:23

"Resources for Learning Linux" matching MCP tools:

  • Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.
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  • Check a game server Dockerfile and the ports/resources you intend to register against what Edgegap requires, BEFORE building and pushing. Catches the failures that otherwise only show up after a build, push, version and deploy: ARM or Windows images (Edgegap runs linux/amd64), Unreal running as root, missing Unity -batchmode -nographics, a server bound to localhost, EXPOSE ports that do not match the version ports, a protocol that does not match the netcode transport, the "latest" tag, and bad CPU/memory ratios. Pass the Dockerfile text (read it from disk first). If there is no Dockerfile yet, call edgegap_generate_dockerfile instead. Makes no API calls.
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  • 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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  • Generate Terraform (HCL) for EXISTING Control Plane resources from a self link. Single resource (`/org/acme/gvc/prod/workload/api`) or bulk by path depth — `/org/acme` exports the whole org, `/org/acme/gvc/prod/workload` exports every workload in a GVC. Set `generateImports` to get ready-to-run `terraform import` commands for adopting the resources into Terraform state, and `includeDependencies` to pull in referenced resources. Secrets are never exported; a ref or dependency closure that includes them is refused. An unsupported kind is rejected with the supported list. For an in-memory manifest, use convert_to_terraform.
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  • Subscribe an existing webhook endpoint to events from ONE specific extractor, classifier, splitter, or workflow (webhooks group) — deliveries for other resources are unaffected. Use this instead of global enabledEvents when only some resources matter. Configuration rules: call get_documentation with https://docs.extend.ai/webhooks/configuration.md first (event catalog: https://docs.extend.ai/webhooks/events.md).
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  • Edits a usability test. Takes exactly one of `proposalId` (an unlaunched draft) or `projectId` (an already-launched test). Draft: plain-language `changes` and/or structured `edits` (add or remove tasks, questions and learning goals by index, swap personaIds, set `edits.audience`). Returns an updated plan under a new proposalId that replaces the previous one; nothing is launched. The number of AI testers changes only through `edits.audience.numTesters`. Launched test: only the audience can change (`edits.audience`, `edits.personaIds`). The change is saved to the project and echoed back as `audience`, and nothing runs until relaunch_usability_test. Tasks, questions and learning goals of a launched test cannot be edited; a new test is needed for that.
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Matching MCP Servers

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  • START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.
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  • Lista os MCP Resources disponíveis com URI, nome e mime-type. Tools de descoberta para clientes que não expõem UI de attachment de resources (como o Claude.ai web). Em Claude Desktop / Cursor / MCP Inspector, resources aparecem em picker dedicado. Resources contêm dados de referência estáticos (tabelas de domínio, glossário, metadados do servidor). Use `compras_obter_resource(uri)` para ler o conteúdo. Retorno: { "total": int, "resources": [ {"uri": str, "nome": str, "descricao": str, "mime_type": str, "tags": [str,...]}, ... ] }
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  • Test a specific Python package/version on a supported Python/Linux target runtime using empirical execution. Returns scoped install evidence, usable-import evidence when requested, and a scoped result/receipt. Supported boundary: public PyPI on Linux x86_64 / CPython 3.13. This is not generic package advice, security verification, arbitrary Python execution, broad compatibility testing, feature behavior testing, or application integration testing.
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  • Use this when the user wants to create one unpublished, editable Study draft from an explicit learning need linked to an Idea or Initiative. An optional selected meeting excerpt is used only for generation and is not persisted. This never publishes, distributes, invites participants, records findings, or creates evidence.
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  • Retrieve a single piece of content by naddr (preferred — pass a search_content result's naddr), d-tag identifier, or event ID. naddrs of ANY content type from search_content work (resources, articles, wikis, projects, measures, publications); non-resource kinds return the same shape as their search results. Bare identifier/eventId lookups (no naddr) always resolve the full educational-resource metadata (kind 30142), including creator/publisher and educational properties. Lookups are not license-filtered: a learning resource carries openLicense (true for CC0, Public Domain, CC BY, CC BY-SA — the open licenses that search results are currently limited to). When presenting the resource, render a markdown link the user can open: prefer its sourcePage (the original source page); fall back to url (the edufeed viewer) only when sourcePage is absent.
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  • Use this when the learner explicitly asks to save Spanish or French words for later practice, mark words as learning, or correct words they already know in Fabling. Set up to 20 resolved words to known or learning. Resolve lemma IDs first and clarify ambiguous meanings or status. Do not infer permission from a quiz answer or mark words known automatically. This is a learner correction, not a mastery assessment. Requires vocabulary write permission. Reuse actionId only for retries.
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  • Step 1 of renting a real Linux server. Lists AgentMetal VPS plans (vCPU/RAM/disk, USD/day + USD/mo, included egress). After you pick a plan, call `get_payment_options` for the exact payment, then provision by POSTing to the API 402 or running the local @agentmetal/mcp (which pays from your wallet).
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  • Your daily briefing at The Balanced Investor Club — a read on your own activity: morning brief, journal counts, the instruments you follow, mood highlights, activity, and your learning journey. A mirror, never advice.
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  • List OS images available for on-demand compute instances. Requires: API key with read scope. Returns: {"images": [{"id": "UBUNTU_24_04_64BIT", "name": "Ubuntu 24.04 LTS (x86_64)", "family": "linux", "flavour": "ubuntu"}, ...]}
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  • [EXPERIMENTAL] Run a shell command inside the per-workspace Linux sandbox. Captures stdout/stderr (64 KB cap), exit code, duration. Requires Cloudflare Containers; degrades to 503 otherwise.
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  • Stop a persistent Linux machine. The disk and the network address are kept, so starting it again returns the same files at the same address. Stop machines you are done with — a stopped machine costs only its disk.
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  • Permanently delete a persistent Linux machine AND its disk. This cannot be undone — use scalix_computer_stop if you may want the files back.
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  • [FREE] Read one AgentWorld learning topic as clean text (e.g. slug 'compute-credit-exchange', 'barter-exchange', 'ai-agent-economy', 'ai-agent-jobs'). Use learn_hub() first to list available slugs.
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  • [FREE] Read one AgentWorld learning topic as clean text (e.g. slug 'compute-credit-exchange', 'barter-exchange', 'ai-agent-economy', 'ai-agent-jobs'). Use learn_hub() first to list available slugs.
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