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619,065 tools. Updated 2026-09-28 12:46

"Using Windsurf and Claude Tools or Technologies" matching MCP tools:

  • Check whether the user must re-add the Orivox connector to get the latest tools/behavior, and show the version changelog. ALWAYS call this with build_seen set to EXACTLY this stamp, copied verbatim: build_seen="2026.09.04-01" That stamp is frozen into this description when the connector is added, so if Orivox has since shipped a newer build the live server sees the mismatch and returns status="outdated" with the exact words to tell the user (remove and re-add the connector -- the only way Claude ever gets updated tools or instructions). status="up_to_date" means nothing to do. Reach for this whenever the user says a feature is missing or not working as described, asks what changed / what version they are on, or right after they mention re-adding the connector. Read-only; needs no account.
    ConnectorOAuth
  • Make Vilix automatic. Call this when the user asks "how do I make this automatic", "set this up so it remembers on its own", or right after a first connection when offering setup. Returns a short custom-instructions block the user pastes into THIS tool's personalization / custom-instructions settings so the AI starts calling Vilix (get_context / save_turn) on its own — plus exactly where to paste it. `recommended` is the block matched to the caller's tool; `blocks` lists every supported tool's block (and for headless always-on tools, an enforce-every-turn variant for an always-on rules file). `source` (optional) — the tool label you run in (e.g. "ChatGPT", "Claude", "Cursor", "Codex", "Copilot", "Windsurf"), used to pick the right block; omit to get the generic default. This is an OPT-IN setup you hand to the user — it is not auto-applied; Vilix logs nothing silently.
    ConnectorOAuth
  • Use this when the user asks to see, choose, or look up their documentation Spaces, especially before using tools that need a numeric space_id. Read-only: returns accessible Spaces and does not change settings or documents.
    ConnectorOAuth
  • Run the competitor-content workflow: AI rankings, head-to-head comparison, citations, keyword demand, and topic coverage, aggregated in one response. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. AI visibility metrics include counts; quote them with percentages, not as a market-wide score. Optional recommendations are a separate paid call, never automatic. After a visibility result, offer recommendations using its requestId; run only when the user requests advice and knows the additional cost. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates. Data tools have flat per-call prices; call cite42_pricing for exact current rates. Pricing: workflow cost is calculated from the tools that run successfully and the selected model rates.
    ConnectorOAuth
  • Finds domains running a given technology - the reverse of `post_dataforseo_domains_tech_for_domain_live`. Accepts `technologies`, `technology_paths`, `groups`, `categories` and `keywords`, with `filters` and `order_by` over the fields named by `get_dataforseo_domains_tech_available_filters`. Returns `total_count`, `items_count`, `offset`, `offset_token` and `items`, each item the same profile as the per-domain call: `domain`, `title`, `description`, `meta_keywords`, `domain_rank`, `last_visited`, `country_iso_code`, `language_code`, `content_language_code`, `phone_numbers`, `emails`, `social_graph_urls` and `technologies`. Measured at 1.5 KB for one item, so cap it with `limit` - the item shape is heavy and `total_count` runs to millions for a popular platform. Wrapped in DataForSEO's envelope: data in `tasks[0].result`, upstream charge in `tasks[0].cost`, and the real outcome in `tasks[0].status_code` - a rejected request still returns HTTP 200, so check that field rather than the transport status.
    Connector
    Destructive
    OAuth
  • [free] Describe this connector: flagship-first tools layer (search/answer as the front door), how to install (Claude Code / Cursor / npm), free vs paid tiers, and discovery URLs. Call this first.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • Validate ClaudeBot and Claude-SearchBot IP addresses. Remote MCP validate_ip tool.

  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • Liveness check for the Agent Watch API. Returns ok, service name, and version. Call this first to verify connectivity before using other tools.
    ConnectorNo auth
  • Run the AI-citation-gaps workflow: find queries where AI answers cite others but not your brand, domain, or URL, with the supporting data. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. AI visibility metrics include counts; quote them with percentages, not as a market-wide score. Optional recommendations are a separate paid call, never automatic. After a visibility result, offer recommendations using its requestId; run only when the user requests advice and knows the additional cost. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates. Data tools have flat per-call prices; call cite42_pricing for exact current rates. Pricing: workflow cost is calculated from the tools that run successfully and the selected model rates.
    ConnectorOAuth
  • Use this when a question needs several of these tools chained together and a written answer, for example comparing tokens or researching a launcher. SwogeAgentic, a Claude agent, picks the tools, reads the numbers and answers in Markdown with its sources and sample sizes. API key only: billed at its real cost, up to the quoted maximum ("quote": true gives it). Takes 10 to 60 seconds.
    ConnectorNo auth
  • LIST a group of tools that is not in this session's roster. IT IS NOT HOW YOU REACH A TOOL — call_tool runs any Hermoso tool whether or not it is listed, and that works everywhere. Use this when the session will use MANY tools from one area and you want them in your list. WORKS ON CLIENTS THAT RE-READ THE TOOL LIST (stdio, the CLI, Cursor, Claude Code); a host that fixed its roster at connect time — claude.ai and ChatGPT do — will not show the new tools until it reconnects, and this tool says so in its reply rather than reporting a success you cannot use. The connect-time route that always works is `?tools=all` on the server URL. The default roster is CORE-FIRST: the core tools plus a few that make the connection drivable. Every other tool is held out of the LIST on SIZE alone — the whole registry is several hundred thousand tokens of schema re-sent on every turn, and a roster far past the 30-50 tool mark measurably degrades tool choice. The heaviest groups are `ads`, `analytics`, `channel_admin`: paid-campaign management is most of the total schema weight across eleven ad platforms. NOTHING held out is unfinished or unsafe, and nothing is unreachable — find_tools finds it and call_tool runs it. CALL THIS WHEN A WHOLE AREA IS IN PLAY. If the user settles into building, budgeting, targeting or reporting on ad campaigns, call enable_tools({groups:['ads']}) and the tools appear. If they ask about their own site or product analytics, a tag/tracking container, or how a search engine crawls, indexes or ranks their site, call enable_tools({groups:['analytics']}). Groups: core, research, create, channels, channel_admin, analytics, ads, files, workspace — or 'all'. Free, instant, and it never turns anything off.
    ConnectorOAuth
  • Read an owned completed exam using attemptId, or safely check a submitted exam using submissionId. Supply exactly one. Pending or partial grading returns status only, never unfinished scores or feedback. Honors practice resets and cannot dispatch scoring, finalize submissions or retrieve active exam content.
    ConnectorNo auth
  • Compare 2-5 named products or services on Nigeria-usability: naira pricing, card acceptance, local entity, geo-restriction. Rows are returned in the order given — Ranked does not rank them here. Ranked Technologies operates some listed products; those carry operated_by_ranked=true, are returned in a separate unranked block, and are never ordered above others (Rule 1). Evidence tier is provenance, not quality.
    ConnectorNo auth
  • Run the content-opportunities workflow: fan out across AI search, SEO keywords, trends, Reddit, YouTube, and citations and return the aggregated data. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. AI visibility metrics include counts; quote them with percentages, not as a market-wide score. Optional recommendations are a separate paid call, never automatic. After a visibility result, offer recommendations using its requestId; run only when the user requests advice and knows the additional cost. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates. Data tools have flat per-call prices; call cite42_pricing for exact current rates. Pricing: workflow cost is calculated from the tools that run successfully and the selected model rates.
    ConnectorOAuth
  • Run the topic-demand workflow: SEO keyword data, Google Trends, AI answers, and audience conversations, aggregated in one response. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. AI visibility metrics include counts; quote them with percentages, not as a market-wide score. Optional recommendations are a separate paid call, never automatic. After a visibility result, offer recommendations using its requestId; run only when the user requests advice and knows the additional cost. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates. Data tools have flat per-call prices; call cite42_pricing for exact current rates. Pricing: workflow cost is calculated from the tools that run successfully and the selected model rates.
    ConnectorOAuth
  • The user's complete Remoet profile in one call: profile core (summary, links, location, avatar), workExperience, projects, and education (each section entry carries an id for update/delete) plus the current visibility setting. Always read this before changing anything. After reading, run a quick gap analysis and offer to fix what you find, ranked by impact (be encouraging, not critical): - SUMMARY (highest impact, the first thing companies read): flag if empty, under ~100 chars, or missing tech stack / years of experience / a differentiator. See update_profile for the pattern. - VISIBILITY: if NONE, suggest STARRED via update_profile so companies the user has starred can discover them. - PROJECTS (#1 gap for junior/mid devs): flag zero projects (ask about side projects, OSS, hackathons, scripts, blogs), or projects missing a URL, description, or technologies. - WORK HISTORY: flag missing descriptions, empty technologies arrays (they feed job matching), or descriptions without measurable impact ("Built React frontend" -> "...serving 50K users, 40% faster"). - BASICS: flag a missing avatar, a vague location (needs city + country for timezone/jurisdiction), or missing GitHub/LinkedIn. - EDUCATION: flag if empty (degrees, bootcamps, notable certifications). If the user shares a CV, resume, or website, populate the whole profile (update_profile, save_work_experience, save_project, save_education), then search companies by their stack, surface jobs with search_jobs, and suggest stars for the genuine fits.
    ConnectorNo auth
  • Add or update a work experience entry (upsert). Omit id to create a new entry (title and startDate are required); pass an id (from get_profile) to update an existing one, changing only the fields you send. Every description should cover WHAT was built, HOW (technologies), IMPACT (users served, performance gains, revenue, uptime), and SCOPE (team size, scale). Push for measurable outcomes ("Built React frontend" -> "...serving 50K users, 40% faster"). Always populate technologies; they feed job matching. Check get_profile first to avoid duplicates, and don't fabricate. Ask the user to confirm vague dates or fill real gaps.
    ConnectorNo auth
  • The user's complete Remoet profile in one call: profile core (summary, links, location, avatar), workExperience, projects, and education (each section entry carries an id for update/delete) plus the current visibility setting. Always read this before changing anything. After reading, run a quick gap analysis and offer to fix what you find, ranked by impact (be encouraging, not critical): - SUMMARY (highest impact, the first thing companies read): flag if empty, under ~100 chars, or missing tech stack / years of experience / a differentiator. See update_profile for the pattern. - VISIBILITY: if NONE, suggest STARRED via update_profile so companies the user has starred can discover them. - PROJECTS (#1 gap for junior/mid devs): flag zero projects (ask about side projects, OSS, hackathons, scripts, blogs), or projects missing a URL, description, or technologies. - WORK HISTORY: flag missing descriptions, empty technologies arrays (they feed job matching), or descriptions without measurable impact ("Built React frontend" -> "...serving 50K users, 40% faster"). - BASICS: flag a missing avatar, a vague location (needs city + country for timezone/jurisdiction), or missing GitHub/LinkedIn. - EDUCATION: flag if empty (degrees, bootcamps, notable certifications). If the user shares a CV, resume, or website, populate the whole profile (update_profile, save_work_experience, save_project, save_education), then search companies by their stack, surface jobs with search_jobs, and suggest stars for the genuine fits.
    ConnectorOAuth
  • Add or update a work experience entry (upsert). Omit id to create a new entry (title and startDate are required); pass an id (from get_profile) to update an existing one, changing only the fields you send. Every description should cover WHAT was built, HOW (technologies), IMPACT (users served, performance gains, revenue, uptime), and SCOPE (team size, scale). Push for measurable outcomes ("Built React frontend" -> "...serving 50K users, 40% faster"). Always populate technologies; they feed job matching. Check get_profile first to avoid duplicates, and don't fabricate. Ask the user to confirm vague dates or fill real gaps.
    ConnectorOAuth
  • Retrieve one known Lightdrift asset by the asset_id returned from search_images or find_similar_images. Returns an object with asset_id, title, source, dimensions, format, file and thumbnail URLs, and rights including attribution and provenance. Use this to inspect a selected image or retrieve a saved asset; use the search tools to discover images. Requires OAuth or an API key. Free: does not deduct search credits or modify the image; access is logged. An unknown asset_id returns a tool error. Inspect rights before using the file.
    ConnectorOAuth
  • Detect website technology stack: CMS, frameworks, CDN, analytics tools, web servers, languages (via HTTP headers + HTML analysis). Use for passive reconnaissance; for full audit use audit_domain. Free: 30/hr, Pro: 500/hr. Returns {technologies: [{name, category, confidence%, version}]}.
    ConnectorNo auth
  • Explain what the FXMacroData MCP server can do, which tools render MCP Apps, which tools return plain rows, what is public versus subscriber-only, and how to choose tools across ChatGPT, Claude, Cursor, Codex, and plain MCP clients. Use this when a user asks what is available, why visuals are not showing, or how to get the same result in a different interface.
    ConnectorNo auth