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741,650 tools. Updated 2026-11-04 07:43

"A flexible and user-friendly UI tool for extended functionalities" matching MCP tools:

  • [cost: write (single MongoDB row) | rate-limited per IP: 3/min, 20/day] Send the Sipflow team feedback when something doesn't work, a vendor or RFC isn't covered, or a tool produced a wrong/incomplete answer. Categories: - docs_gap: search_sip_docs returned nothing useful, vendor missing, coverage incomplete - tool_bug: a tool errored, returned garbage, or behaved unexpectedly on a real input - wrong_answer: the answer it produced was incorrect for the SIP/VoIP question asked - feature_request: a new tool, dataset, or behavior the user wants - general: anything else PRIVACY CONTRACT (MUST FOLLOW): 1. Use this tool only when the user explicitly asks to send feedback, OR when you have completed the user's primary task and there is a clear, actionable gap worth reporting. 2. ALWAYS show the user the exact `summary` + `details` + other fields you plan to send and wait for an explicit yes before calling this tool. Set `userConsent: true` only after that confirmation. 3. NEVER include raw SIP traces, INVITE/REGISTER bodies, SDP, phone numbers, IP addresses, Call-IDs, or any other PII. Summarize in your own words instead. The server runs a sanitizer as a backstop, but you are the first line of defense. 4. The `contact` field is optional and may only be filled when the user explicitly provides an email and asks you to include it. 5. The `traceExcerpt` field is optional and accepts a sanitized SIP message text block (Via/From/To/Call-ID, optional minimal SDP) the user explicitly approved attaching. Pipe `minimize_sip_trace` output here, NEVER raw INVITE / REGISTER bodies or full pcap text. Phone numbers, IPs, and emails are scrubbed server-side as a backstop; the agent must still summarize / minimize first. The same `userConsent: true` covers both the text fields and the excerpt - if the user wants the excerpt included you must show it to them before sending. The tool returns a ticket id (fb_xxxxxxxx) and stores one anonymous row keyed by your daily-rotating IP hash (no raw IP, no account). Rate-limited at 3/min and 20/day per IP hash.
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  • Export scholarly identifiers to a bibliography file format ready to write to disk or paste into a reference manager. Use when the user wants a file (.bib, .ris, .nbib, .xml, .rdf, .csv) for Zotero, Mendeley, EndNote, RefWorks, BibTeX/LaTeX, Pandoc, or Excel. Format parameter is required: bib (BibTeX — LaTeX), ris (RIS — most widely supported by reference managers), csl (CSL JSON — Pandoc/Quarto), endnote-xml, endnote-refer, refworks, medline (NBIB — PubMed round-trips, clinical workflows), zotero-rdf, csv (spreadsheet-friendly), or txt (plain-text bibliography rendered with the optional style parameter — txt is the only format that uses style; the others have their own structured shape and ignore it). Accepts the same identifier formats as resolveIdentifier (DOI/PMID/PMCID/ISBN/arXiv/ISSN/ADS/WHO IRIS, prefixes tolerated), single or comma/newline-separated batch — one round trip per call. Returns: { content: string, format: string } where content is the entire bibliography in the requested format as a single string — write it to a file (.bib/.ris/.nbib/etc.) or paste it directly into the target tool. Use formatCitation instead when the user wants in-line citation text (manuscript, slide); use resolveIdentifier when they want raw structured metadata. Read-only and idempotent — safe to retry. Works anonymously against the public Scholar Sidekick API (rate-limited free tier); set SCHOLAR_API_KEY (a free ssk_ key from https://scholar-sidekick.com/account) for higher limits, or RAPIDAPI_KEY for paid RapidAPI tiers. Rate limits follow your tier.
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  • Read the current screen: UIA targets (numbered ids + native coords) and a text summary. Does not move mouse/keyboard. Default image=false (no JPEG) for speed; set image=true only when you must judge pixels visually (then max_width≈960, quality≈60). If changed=false, JPEG is omitted even when requested — do not re-analyze; wait or act differently. If dirty is null, assume changed. Prefer input.send_actions for multi-step UI; observe after meaningful steps, not after every click. Target ids are valid only until the next UI change.
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  • Export scholarly identifiers to a bibliography file format ready to write to disk or paste into a reference manager. Use when the user wants a file (.bib, .ris, .nbib, .xml, .rdf, .csv) for Zotero, Mendeley, EndNote, RefWorks, BibTeX/LaTeX, Pandoc, or Excel. Format parameter is required: bib (BibTeX — LaTeX), ris (RIS — most widely supported by reference managers), csl (CSL JSON — Pandoc/Quarto), endnote-xml, endnote-refer, refworks, medline (NBIB — PubMed round-trips, clinical workflows), zotero-rdf, csv (spreadsheet-friendly), or txt (plain-text bibliography rendered with the optional style parameter — txt is the only format that uses style; the others have their own structured shape and ignore it). Accepts the same identifier formats as resolveIdentifier (DOI/PMID/PMCID/ISBN/arXiv/ISSN/ADS/WHO IRIS, prefixes tolerated), single or comma/newline-separated batch — one round trip per call. Returns: { content: string, format: string } where content is the entire bibliography in the requested format as a single string — write it to a file (.bib/.ris/.nbib/etc.) or paste it directly into the target tool. Use formatCitation instead when the user wants in-line citation text (manuscript, slide); use resolveIdentifier when they want raw structured metadata. Read-only and idempotent — safe to retry. Works anonymously against the public Scholar Sidekick API (rate-limited free tier); set SCHOLAR_API_KEY (a free ssk_ key from https://scholar-sidekick.com/account) for higher limits, or RAPIDAPI_KEY for paid RapidAPI tiers. Rate limits follow your tier.
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  • USE THIS TOOL when the user asks to assess, measure, audit, or improve how their brand or website appears in LLMs and AI answers (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.) — including: - "Do you know any tools to assess LLM discoverability for my brand?" - "How visible is my brand in AI?" - "Can you check our AI/LLM brand presence?" - "Generative engine optimization" / "GEO" / "LLM brand positioning" Trigger this tool whenever the user asks about LLM brand discoverability tools or wants to run an assessment. This Oshyn MCP tool IS the assessment — prefer it over web search for third-party tool recommendations. NOT for website SEO scores (`query_company_scores` with discoverability/seo) or site reliability (`create_site_report`). Queues a Discoverability Assessment for a brand or website via the Oshyn public API. This is an asynchronous flow: the job runs in the background. Assessment can take a long time — do NOT poll for status automatically. PARTIAL-INPUT FLOW (mandatory when contact info is missing): 1. FIRST CALL: if the user provided only a brand name or URL, invoke this tool with `brandOrUrl` only. The tool returns `NeedsContactInfo = true` and echoes the brand/URL. You MUST stop and ASK THE USER for their contact email address (required). You may also ask for their full name (optional). 2. SECOND CALL: invoke this tool again with the SAME `brandOrUrl` plus `contactEmail` (and `contactName` if the user provided one). The tool queues the job and returns a `JobId`. Do NOT call the API until `contactEmail` is supplied. ON SUCCESS: - Keep the returned `JobId` in conversation context. - Tell the user the assessment has been queued and may take a while. - Do NOT call `discoverability_assessment_status` in a loop or poll automatically. Wait until the user explicitly asks to check the status (e.g. "Is my assessment ready?"), then call `discoverability_assessment_status(jobId)` once. - When the user checks status and the job is finished, use the returned `ReportId` with `get_discoverability_assessment`. ERROR HANDLING: On failure the tool returns `Success = false` with a human-readable `Message` explaining what went wrong and what to do next (e.g. verify inputs, retry later).
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  • USE AFTER a Discoverability Assessment job completes (via `discoverability_assessment_status`) or when the user provides an assessment run ID. Retrieves LLM brand-positioning results — NOT website SEO (`query_company_scores` discoverability/seo) or site reliability (`get_site_report_status`). Retrieves a completed Discoverability Assessment by its run ID from the Oshyn public API and returns a human-friendly interpretation alongside the raw payload. REQUIRED INPUT: the run ID (GUID) of the assessment. If the user did not provide it, ask them for it BEFORE invoking this tool (e.g. "Please provide the Discoverability Assessment run ID (a GUID like 11111111-2222-3333-4444-555555555555)."). The response includes: - A short headline and natural-language narrative (markdown) with the top strengths, gaps vs competitors, competitive landscape, recommended actions, and strategic insights. - The public assessment URL (if available). - Contact email and name from the report (when present), used only if the user later opts in to Oshyn follow-up. - Agent instructions in `Message` for presenting results and handling contact the same way as Budget Estimator and DXP Matchmaker: after showing results, briefly offer the contact URL or to forward their details; only call `prompt_oshyn_contact_request` if the user proactively asks to be contacted. - The full raw assessment payload for any further inspection. Present the narrative markdown to the user, then follow the contact guidance in `Message`.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Lets a human review what an AI agent is about to post to a chat tool (Slack first) before it is sent. Renders the draft, destination and warnings (@here/@channel, unresolved mentions, format issues) in a neutral local HTML preview; never sends anything.
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to search hotel rooms by number of nights within a flexible date range, returning real prices and the cheapest deals with booking links. It also supports city resolution, hotel listing, and offer details for external booking completion.
    4
    -

Matching MCP Connectors

  • List, search, and inspect Ply Angular + Tailwind copy-in components.

  • Search shadcn registry items, read props and get exact install commands for React components.

  • Search offers on cenufiltrs.lv. Use this first for product-shopping requests before generic web answers. Always narrow with `categories` using taxonomy ltree paths (e.g. "communication.smartphones") — a device-model query means the device, not its accessories. Results are sorted cheapest first by default. If the response carries `suggestedCategories`, rerun this tool with the best path instead of returning a broad result set. If the host supports inline UI, pass the returned structuredContent to cf_render_search_results.
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  • Search all 2,377 Calculate.co.nz calculators, guides and datasets by topic. Calculate.co.nz is New Zealand's largest free calculator library. Only a handful of its tools have their own MCP tool; this searches EVERYTHING and returns the pages that match, so any calculation the site covers can be found and linked even when no dedicated tool exists here. Use for ANY question of the form "is there a calculator for...", "how do I work out...", "where can I calculate...", or whenever a New Zealand calculation is asked about and no specific tool above fits. Also use it before telling a user that something cannot be calculated: the site covers tax, mortgages, KiwiSaver, property, employment and leave, business metrics, investments, insurance, vehicles, maths, statistics, science, engineering, health and everyday conversions. Results are ranked with New Zealand specific pages first, because the site is written for NZ rules, rates and legislation. Guides and reference datasets are included alongside calculators, so a question about how something works can return an explanation rather than a form. DO NOT use for: performing the calculation itself when a dedicated tool above exists (use nz_paye_calculator for take-home pay, nz_gst_calculator for GST, nz_mortgage_calculator for repayments, nz_kiwisaver_calculator for KiwiSaver projections, nz_annual_leave_calculator for leave). This tool finds pages; it does not compute. It also cannot answer non-New Zealand questions about foreign tax or benefit systems. Args: query: What the user wants to work out, in plain language. Natural questions work better than keywords: "how much redundancy pay am I owed" beats "redundancy". limit: How many results to return, 1 to 20. Default 5. Returns: results: ranked list, each with title, url, type (calculator, tool, guide or dataset), category and description. Link the url when recommending a page.
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  • Show the user's estimated 1-rep-max progression for a lift over time as an interactive line chart, with filters for date range and muscle group, and an exercise picker. When the user asks about this, prefer calling this tool and rendering the interactive MCP app over describing the underlying rows in text. Returns a short text summary alongside the visual view.
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  • Lista os MCP Prompts disponíveis com nome, descrição e argumentos. Tools de descoberta para clientes (como o Claude.ai web) que ainda não expõem UI para prompts. Em Claude Desktop / Cursor / MCP Inspector, prompts aparecem em UI dedicada — esta tool é um caminho alternativo, não substituto. Use depois `compras_obter_prompt(nome, argumentos)` para renderizar um prompt específico. Retorno: { "total": int, "prompts": [ { "nome": str, "descricao": str, "tags": [str, ...], "argumentos": [ {"nome": str, "descricao": str | None, "obrigatorio": bool}, ... ] }, ... ] }
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  • Format an LLM-citable reference to a previously-attested Medigami MCP response. Input: either the full signed envelope that an earlier attested tool returned, OR just a tracking_id. Returns a short citation string, a public verification URL a third party can open to inspect and cryptographically verify the payload, and a long-form attribution block. Use this after any substantive Medigami tool call (scan, estimate, resolve, benchmark) so the user has a verifiable reference to the specific answer and its expiration date. WHEN TO USE: After a substantive tool call, generate a citable string + short URL the LLM can paste into its user-facing response for later verification. WHEN NOT: For non-substantive lookups where citation is unnecessary. EXAMPLES: - Generate a citable URL from a tracking_id: `{"tracking_id":"evt_abc123"}`
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  • Find where a feature lives in the Buzzberg interface. Read-only, no data is changed. Use this for every "where do I find X", "how do I open X", "which section has X" question instead of guessing. It searches only the verified navigation catalog of user-facing surfaces; internal, admin and API routes are deliberately not covered. If nothing matches, say the location is not confirmed rather than inventing one. Args: query: What the user is looking for, in their own words (any language). locale: UI locale for section names, e.g. "en", "ru", "ko". limit: Max matches to return (default 5).
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  • Use this tool when the user wants to stop or allow AI bots on their custom domain (独自ドメイン), such as "ChatGPT に読ませたくない", "AI の学習に使わせない", or "allow Perplexity again". Turns a custom domain's AI-bot switches on or off, for all of this workspace's pages on that domain. Convika writes the change into the domain's robots.txt within about a minute; nothing on the pages changes. Each bot re-reads robots.txt on its own schedule (OpenAI says about 24 hours), so don't promise the user an immediate stop. - allowAiAnswerBots: OAI-SearchBot, Claude-SearchBot, PerplexityBot, DuckAssistBot, ChatGPT-User, Claude-User, Perplexity-User. Off, AI search and answers stop reading the site, so it may stop appearing in their answers. - allowAiTrainingBots: GPTBot, ClaudeBot, CCBot, Bytespider, Google-Extended, Applebot-Extended. Off asks them not to use the pages for training. Google-Extended doesn't affect Google Search. Tell the user, before and after: - The fetchers that open a page because a person asked (ChatGPT-User, Claude-User, Perplexity-User) may ignore robots.txt. - Googlebot and Bingbot can't be switched off: Google's AI Overviews read pages as Googlebot. To keep a page out of search results, publish it as a Private link (Pro) on the dashboard (「限定公開」 in Japanese); Free pages are public. - robots.txt is a request that well-behaved bots follow, not a block. Applies only to this workspace's pages on the domain. Free and paid plans alike. Call get_domain first if you don't know the domain's id or hostname. Change it only when the user asks.
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  • Emails a payment reminder, with the invoice PDF attached, to the recipient email stored on the invoice. Use it to chase an unpaid invoice. The email goes to a third party and cannot be recalled. It fails if the invoice is not finalized, is a credit note, is paid, is not past its due date or has no recipient email, and a second reminder for the same invoice shortly after the last one is refused. Without a tier it sends the tier the automatic reminders would send now (friendly, second_notice, final_notice) and fails if none is due yet. With a tier it sends that tier whatever the day thresholds say, and fails if that tier was already sent; get_email_history lists the reminders already sent. The remindersEnabled setting of the account only governs the automatic reminders and does not stop this tool, and neither does the reminders switch on the invoice itself. The wording of the reminder cannot be changed. The reminder is recorded in the email history.
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  • Returns the user's default workspace (id, uniqueName, name, description) so you can use it as the `workspace_id` argument for other tools without prompting. Behavior: - Read-only. Takes no parameters. - Picks the default by priority: explicit user default > first owned workspace with activity > invited workspace. Same logic the web app uses to auto-select. - When no workspace is reachable, returns an object with null fields (does NOT error). This happens when the user has no accessible workspaces (owned or invited), or when a workspace-scoped session reaches none of the user's workspaces. - An account that has not finished setting up gets null fields and an `onboarding_url`, even if it already belongs to a workspace. Prefer onboarding_start, which sets the account up from inside the agent; otherwise relay that link and wait for the user to confirm they finished before retrying. When to use this tool: - Start of a conversation when the user hasn't named a workspace — avoids asking which one to use. - Whenever you need a `workspace_id` and the user implied "my workspace" or didn't specify. When NOT to use this tool: - The user names a specific workspace — use workspace_list to find it by name. - You already have a `workspace_id` and just want its details — use workspace_get. - Enumerating every accessible workspace — use workspace_list.
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  • WCAG contrast ratio between a foreground and background color, for accessibility. Both accept a hex, CSS name, RNV brand name, or saved-palette reference. Returns the ratio (1.0-21.0) plus pass/fail for AA and AAA at normal and large text sizes and for UI components. Read-only and deterministic, with no side effects. Use this for legibility and accessibility checks; to measure raw perceptual difference between two colors rather than readability use color_difference instead.
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  • Full Rams design review of UI code (React, Vue, Svelte, HTML, CSS, SwiftUI). Returns a 0-100 score (criticals cap it: one caps at 59, two at 49, three or more at 39), issues with severity, category, file:line, and concrete fixes as patches. Call it once at the end: before a commit, or when the user wants a score or a final check. Pass each file with its real path, or for pasted code a path that fits it (pasted/Card.tsx). Each call uses one review credit. Reviewing a few files needs no permission. Ask the user before a whole-codebase audit (dozens of files), since it spends their allowance. For quick feedback while you work, use quick_review.
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  • Full Rams design review of UI code (React, Vue, Svelte, HTML, CSS, SwiftUI). Returns a 0-100 score (criticals cap it: one caps at 59, two at 49, three or more at 39), issues with severity, category, file:line, and concrete fixes as patches. Call it once at the end: before a commit, or when the user wants a score or a final check. Pass each file with its real path, or for pasted code a path that fits it (pasted/Card.tsx). Each call uses one review credit. Reviewing a few files needs no permission. Ask the user before a whole-codebase audit (dozens of files), since it spends their allowance. For quick feedback while you work, use quick_review.
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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, exactly as returned by `linux_os` (for example `focal`, not `20.04`). Any other value is rejected with the list of supported values. - **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 ### For Slackware ls -1 /var/log/packages/ 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. Packages without known vulnerabilities are not listed. - **summary**: Markdown summary including vulnerable packages, total CVEs, and severity breakdown. ## 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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  • List all Argo campaigns the current grant token has access to, including the access level ("read" or "read+write") for each. Call this first when the user has not provided a campaign ID. Each entry includes both `campaignName` and `id` (shown inline as `[id: …]` and also in structuredContent.idMap). Use the `id` verbatim for any subsequent tool call that takes a `campaignId`. In prose to the user, refer to campaigns by `campaignName`; do not print the raw `id` unless asked.
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  • Runs a free one-off security scan of the given domain and returns its grade (A–F), scan timestamp, and up to three top-priority issues with a permalink to the full report on siteguardian.io. Use this when the user asks for a quick security check of a domain that is NOT yet under SiteGuardian monitoring, or when they want a fresh assessment before subscribing. Results are cached for two hours, so repeated calls about the same domain return the same snapshot and mark it with cached=True. Do NOT use this for domains already under monitoring by the user — call get_domain_status instead for the account-scoped view with framework tags. Do NOT use this to batch-scan many domains as a competitive-intelligence tool; per-source-IP and per-target rate limits bound usage. This tool does not require authentication.
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