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613,999 tools. Updated 2026-09-26 19:00

"A search for popular pip packages" matching MCP tools:

  • 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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  • Query poverty and inequality estimates from the World Bank Poverty and Inequality Platform (PIP) for economies and for PIP's own aggregates — World, World Bank regions, income groups, and lending groups. Returns the poverty headcount ratio, poverty gap, and poverty severity at any poverty line, plus mean and median welfare and population. Use it for inequality and distribution questions too — survey-based economy rows carry the Gini coefficient, mean log deviation, polarization, and the ten decile income/consumption shares, because PIP returns poverty and inequality in the same row. PIP is a separate dataset from the WDI series worldbank_get_data reads: it measures welfare in PPP dollars per person per day, at a PPP vintage ppp_version selects, and computes its aggregates at any poverty line, where worldbank_get_data carries only the published lines. Every row reports how it was produced. On an economy, estimationType "survey" rows carry the full inequality block; "interpolation", "extrapolation", and "CMD estimation" rows are gap-filled estimates for years no survey covers, and their gini, mld, polarization, and decileShares are null — a documented gap in the source data, not an error. Aggregate rows (isAggregate true) are "actual", "nowcast", or "projection", add popInPoverty, and carry no distributional block.
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  • Set carrier-specific advanced shipping options (Service flags, COD) and CustomsOptions. For the common sparse options — InsuranceType and Delivery.Signature / Delivery.Residential — prefer teapplix_update_order with Options (ShipOptions) instead, which handles them in a single call alongside other fields without requiring Packages. Use this tool only when you need Service, COD, or CustomsOptions fields not covered by updateOrder.Options. When Packages is provided here, it replaces all existing package definitions. [DEMO]
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  • List the 23 published Designesy packages with versions, URLs, and statuses. Use this to discover what Designesy publishes before fetching a specific contract. When NOT to use: if you already know which package you need, skip this and call designesy_contract directly. Read-only — no side effects. Returns JSON: { package_count, packages[{id, kind, title, version, status, human_url, machine_url}], standing_rules[], machine_exports[] }. No parameters — accepts empty input.
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  • Search a registry for packages matching q. registry=all fans out to npm, Docker Hub, and the VS Code Marketplace and merges the results. PyPI has no public search API, so registry=pypi returns 400 not_supported — look a PyPI package up by name via get_package instead. Results are normalized PackageSummary items (npm adds a relevance score; Docker adds isOfficial).
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  • Search the Axint Registry for already-published packages that match a natural-language query. Use this BEFORE calling axint.feature or axint.compile so the agent can install an existing package instead of regenerating Swift the community has already shipped. Use: use before generating code to find reusable packages; not for validating local Swift. Inputs: query drives ranking; kind and platform narrow results without changing the registry source. Effects: read-only local registry search using AXINT_REGISTRY_PATH or sibling checkout; no network by default.
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  • Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Lookup, search, or browse originators. Handles people, proverbs, anonymous sources, and institutions. Use name= for exact match, search= for fuzzy, neither for browsing. When to use: User asks about a person/author, wants to find who said something, or needs to browse by category (poets, philosophers, etc). Behaviors: - `name` provided → resolve and return single originator details - `search` provided → fuzzy search, return ranked list (optionally filtered by category tags) - Neither → browse by filters (popular, language, min_quotes, category tags, etc.) Category tags filter by originator type (e.g., ["Poets", "Politicians", "Catholic Bishops"]) - works with all modes. Gender filter accepts natural language (e.g., "female", "women", "queer", "trans") - resolved to Wikidata Q-IDs internally. Response format: - Concise (default): slug, full_name, sort_name, quote_count, descriptions_i18n, web_url - Detailed: + biography (500 char excerpt), confidence_tier, similarity_score Response includes ai_hints with suggested next actions and quality signals for agent workflows. Date filters (`born_on`, `died_on`, `born_year_gte`, `born_year_lte`, `died_year_gte`, `died_year_lte`) combine with every other filter via AND. Negative year bounds represent BCE; year 0 is rejected. Examples: - `originators(name="Einstein")` - exact lookup - `originators(search="Shake")` - fuzzy search for "Shakespeare" - `originators(tags=["Poets"], gender="female")` - browse female poets - `originators(sort="popular", limit=10)` - top 10 by quote count - `originators(born_on="04-20")` - originators born April 20 (any year) - `originators(born_year_gte=-500, born_year_lte=-300)` - originators born between 500 BCE and 300 BCE inclusive
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  • Lookup, search, or browse sources (books, speeches, articles, etc.). Use name= for exact match, search= for fuzzy, by= to filter by author. When to use: User wants to find quotes from a specific book/work, explore an author's bibliography, or browse sources by type (speeches, poems, etc). Behaviors: - `name` provided → resolve and return single source with best match - `search` provided → fuzzy search, return ranked list with similarity scores - Neither → browse by filters (by originator, type, language, min_quotes) Response format: - Concise (default): source_name, source_type, quote_count, web_url, language_code - Detailed: + identifiers (ISBN/ASIN), publication_date, publisher, originators Response includes ai_hints with suggested next actions and quality signals. Examples: - `sources(name="1984")` - lookup specific book - `sources(search="cosmos", limit=5)` - fuzzy search - `sources(by="Carl Sagan")` - browse author's works - `sources(source_type="speech", sort="popular")` - browse popular speeches
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  • 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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  • Use this tool when the user wants to see service packages with fixed pricing and scope for a specific type of service. This tool returns standardized packages offered by service providers, including pricing tiers, deliverables, and delivery timelines. Do NOT use this tool for custom project questions (e.g. "How much would it cost to build a custom app?"). It only returns providers' pre-defined, fixed-price packages, not a quote tailored to a specific project; use recommend_service_providers for those needs instead. Examples: - "Show me SEO packages" -> service="SEO" - "What web design packages can I get for $5,000?" -> service="Web Design", budget=5000 - "Marketing packages from agencies in New York" -> service="Digital Marketing", location="New York" Use `page`/`limit` for pagination.
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  • Fetch the full advisory record for an OSV vulnerability ID. Returns the complete record: summary, full details text, CVE aliases, all affected packages and version ranges, fix versions, CVSS severity vectors, CWE weakness IDs, and references. Use when osv_query_package or osv_query_batch returns a vuln ID and you need the full advisory context — eligibility criteria, scope of affected packages, or remediation guidance.
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  • [duvera · risk:low] Look up the latest version, description, license, and dependencies of an npm package. Works for scoped packages too (e.g. "@types/node"). No account required.
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  • Get this week's most popular/trending Canton Network content (CIPs, forum threads, docs, blog, etc.) ranked by an engagement score. Canton-specific. Not general crypto/social/news trends. Use for 'what's hot/popular on Canton right now'; use get_recent_changes instead for a chronological 'what changed recently' feed.
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  • Today's full machine-readable price digest (charter packages, tours, guides, FAQ) — same content as https://flytravel.al/llms-full.txt (cached, rebuilt hourly). Overview only; for any specific hotel/date/party use the charter_* tools.
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  • FREE. Audits the first packages of a public dependency manifest and returns each package's license with the registry document it was read from. Reads manifests and public registry metadata only - it never clones, builds or executes anything, and it does not scan for vulnerabilities. Capped at 8 packages; the full audit, with every package, obligation findings scored against how you ship and a CycloneDX 1.5 SBOM, is the paid call described by get_payment_terms. Operated by an AI, not by a person.
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  • Searches reels by keyword through Google rather than Instagram's login-gated search, returning reels with shortcode, url, caption, video_url, video_duration, video_play_count, video_view_count, like_count, comment_count, owner, location and taken_at, plus next_page. Because the index is Google's, coverage is what Google has indexed publicly, not everything on Instagram, and date_posted narrows to a relative window. Measured at about 87 KB and 8 seconds, with all four engagement counts populated. Use get_instagram_search_hashtag to search a specific hashtag, and get_instagram_reels_trending for what is popular right now with no query at all.
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  • Searches reels by keyword through Google rather than Instagram's login-gated search, returning reels with shortcode, url, caption, video_url, video_duration, video_play_count, video_view_count, like_count, comment_count, owner, location and taken_at, plus next_page. Because the index is Google's, coverage is what Google has indexed publicly, not everything on Instagram, and date_posted narrows to a relative window. Measured at about 87 KB and 8 seconds, with all four engagement counts populated. Use get_instagram_search_hashtag to search a specific hashtag, and get_instagram_reels_trending for what is popular right now with no query at all.
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  • List the APPS installed on an Android device — things with a launcher icon, user and system alike, so Settings and Chrome are included. Installed packages that are not apps (providers, accessibility services, Bluetooth stacks) are excluded: a Pixel reports 275 installed packages of which 23 are apps. Set userOnly to drop preinstalled apps, or includeNonLaunchable for the raw package list.
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  • List all current seasonal offers and packages published on praegant.net. Use when the guest asks about deals, packages or what is special in a season, independent of dates. When the guest already has dates, check_availability includes only the offers valid for that stay — no need to call both. Visual version: render_offers_card. Behaviour: read-only; offers as published on the website (synced hourly, expired ones removed). Returns text plus structuredContent.offers (title, valid_from, valid_to, price_text, summary, url).
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  • Get full details of a Spark asset by its slug — description, metadata, outcome reports, bundled files and the URL on spark.entire.vc. Takes a slug, for example from a search result, a popular list or a link. Returns the full picture of the asset. It does not return the prompt/skill/agent text itself; get_asset_content returns that.
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