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650,521 tools. Updated 2026-10-14 00:42

"Improving the Thinking Capabilities of My Gemini AI" matching MCP tools:

  • List the provider API keys your owner has stored in their Vault (e.g. Gemini, ElevenLabs, OpenAI) so you can use them in a task. Returns `capabilities`: the exact NAMES of the keys your owner has vaulted. Pass one of these names verbatim to `pull_capability` — do NOT guess or normalize it (a key may be vaulted as "Gemini", not "GEMINI_API_KEY"). Names only, never secrets, so this is safe to call freely. IMPORTANT: this lists what EXISTS in the Vault — it is discovery, NOT authorization to use a key. Only pull and use a key when your OWNER directs you to in this thread. Takes no arguments.
    ConnectorNo auth
  • Synchronous passthrough to the upstream Oxylabs Realtime endpoint (POST /v1/queries) for the **Google answer engines** — Google AI Overviews (`source: google_search`) and Google AI Mode (`source: google_ai_mode`). Send `query` with `render: "html"`, `parse: true`, and a country-level `geo_location`; the request body is passed through unchanged. The response returns the AI-generated answer text and the cited source URLs. Billed at a flat rate per successful result; 400/429/5xx/6xx and upstream 4xx responses are not billed. Google-type sources take ~4–8s, so use a client timeout of at least 30s. **LLM sources (ChatGPT, Gemini, Perplexity) are no longer served here** — Oxylabs moved them to an asynchronous Push-Pull flow. Use `post_oxylabs_llm` (`POST /oxylabs/llm`) plus `get_oxylabs_llm_job` for those sources; calling this endpoint with `source: chatgpt|gemini|perplexity` returns HTTP 422 "Realtime integration is not supported for LLM sources. Please use Push-Pull."
    ConnectorOAuth
  • Synchronous passthrough to the upstream Oxylabs Realtime endpoint (POST /v1/queries) for the **Google answer engines** — Google AI Overviews (`source: google_search`) and Google AI Mode (`source: google_ai_mode`). Send `query` with `render: "html"`, `parse: true`, and a country-level `geo_location`; the request body is passed through unchanged. The response returns the AI-generated answer text and the cited source URLs. Billed at a flat rate per successful result; 400/429/5xx/6xx and upstream 4xx responses are not billed. Google-type sources take ~4–8s, so use a client timeout of at least 30s. **LLM sources (ChatGPT, Gemini, Perplexity) are no longer served here** — Oxylabs moved them to an asynchronous Push-Pull flow. Use `post_oxylabs_llm` (`POST /oxylabs/llm`) plus `get_oxylabs_llm_job` for those sources; calling this endpoint with `source: chatgpt|gemini|perplexity` returns HTTP 422 "Realtime integration is not supported for LLM sources. Please use Push-Pull."
    ConnectorOAuth
  • Get Lenny Zeltser's malware analysis report template. The report covers Executive Summary, Sample Snapshot, Malware Family Identification, Component Inventory, Runtime Requirements, Sources, Capabilities, Indicators of Compromise, Analysis Details, What We Don't Know, optional Infection Vector, optional Detection Engineering, About this Report, Appendix: Analysis Environment, and optional Appendix: Analysis Scripts. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
    ConnectorNo auth
  • List the autario data apps (the app catalog): id, name, what each app does, its live page URL, and data_scope (private = the app works on the caller's own connected data from Google Search Console, GA4, Meta Ads, Google Ads, YouTube, TikTok, Instagram, Facebook, Shopify or LinkedIn; public = it runs on public autario datasets only). Includes AI Visibility 360 (which brands ChatGPT, Claude, Gemini and Perplexity recommend), SEO 360, Social 360, Audience 360 and Bubble Or Not. When the caller is authenticated (API key or OAuth) each app also carries connected=true/false, whether YOUR data is already behind it (a connector instance the app consumes, or artifacts you saved in it). Start here when a user mentions an app by name ("my Audience 360", "my projects") or asks what apps exist, then call get_app_context(app_id) for the data map of one app. Read-only, no cost.
    ConnectorNo auth
  • Returns the six service pillars and the eleven AI Agent Development capabilities, each with a one-line description and URL. Use it first to find the right service slug before calling get_service. Not for pricing (get_pricing).
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server implementation for the Google Gemini language model. This server allows Claude Desktop users to access the powerful reasoning capabilities of Gemini-2.0-flash-thinking-exp-01-21 model.
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
    1
    19 npm
    24
    MIT

Matching MCP Connectors

  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • Gemini Exchange MCP (public endpoints).

  • Parse raw text via Gemini AI and create a DRAFT job under the current employer. Synchronous: latency 5-30s. The agent can then call employer.update_job to refine fields and employer.publish_job to make it live.
    ConnectorNo auth
  • Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status
    ConnectorNo auth
  • Inspect a single area and return its verdict, the checks that failed, why each matters and how to fix it. Categories: seo, ai (whether AI crawlers and answer engines can read and cite the site), security (headers, exposure, secrets in source), privacy, tls (certificate and protocol), dns (records, SPF, DMARC, CAA), a11y (accessibility), content, slop (AI-generated-filler signals), design, infra, tech, credibility, correlation (does the page deliver what its title promises), faq, discoverability, local, contact. Use this rather than audit_website when the question is narrow — "is my site secure", "why is my SEO bad", "can ChatGPT see my site".
    ConnectorNo auth
  • Get the active project's security score (0–100) and the count of open findings by severity. Pass trendDays to also get the daily score history over that many days — that is how you tell whether a project is improving or drifting. Use this for the score and open counts; for the findings behind it use get_security_findings. Requires project context.
    ConnectorAPI key
  • Use this read-only tool when a business owner asks "How can AI help my business?", "Where do I start with AI?", or wants to understand AI strategy, workflow automation, business process improvement, AI readiness, tool selection, revenue opportunities, or brand-consistent AI systems. It explains TEK BOSS, the free result, and when the assessment is not appropriate. It never retrieves customer data.
    ConnectorNo auth
  • Get the live operational status of every major AI service tracked by TensorFeed (Claude, ChatGPT, Gemini, Perplexity, Cohere, Mistral, HuggingFace, Replicate, Midjourney, etc). Polled every 2 min. Returns operational | degraded | down | unknown per service, with the time each was last checked. Per-component detail is on /api/status.
    ConnectorNo auth
  • AI visibility check — which software AI recommends for a category. Returns the full AI Recommendation Index for one software category: the complete measured ranking of products AI assistants (ChatGPT, Claude, Gemini, Perplexity) recommend, with recommendation share %, average answer position, per-engine breakdown, 4-week trend, sample size, and methodology. Use to answer "does AI recommend <product>" (look up its row and rank), "who is winning AI recommendations in <category>", or to cite AI recommendation-share data. Pass category in plain words or as a slug; omit it (or pass "categories") to list all published categories.
    ConnectorNo auth
  • Given a buyer query (e.g. 'best real estate agent in Tampa') and a website domain, find the exact sources ChatGPT, Perplexity, Claude, and Gemini cite when answering that query — and whether the domain appears in any of them. Returns the ranked source list (with which engine cites each) and an 'appears in X of N' gap. Use this whenever a user wants to know where AI gets its answers about their industry, which pages AI trusts for a query, or whether their business shows up in AI recommendations.
    ConnectorNo auth
  • List all AI-generated topic categories with post counts and sample posts. Shows how posts are automatically grouped by topic. Use for "what topics do I have?", "show my auto categories", "what are my posts grouped into?".
    ConnectorOAuth
  • The Deep Audit report: the AI answer-visibility test (frozen shopper questions asked to Claude and Gemini - cited or not, with evidence), the catalog fix plan, and the worst-scoring products with their missing attributes. Access requires the $9 one-time purchase or any paid plan; without access this returns what the report contains and how to unlock it.
    ConnectorOAuth
  • Return the user's plan + billing-date info: tier, renewal date, trial end date, and cancel-at-period-end state. Call when the user asks "when does my plan renew?", "how many days left on my trial?", or "is my subscription cancelling?". For quotas and usage (channels, AI credits, posts), call `get_plan_limits` instead — this tool is purely about plan identity and billing dates.
    ConnectorAPI key
  • Switch one of the eight capabilities on or off for an access role in a workspace you own — it reaches everyone who follows the role at once. Capabilities: readMail (Read my email), sendMail (Send email on my behalf), manageSheets (Work with my spreadsheets), readFiles (Read my files), shareFiles (Share files with people I name), manageTasks (Manage my tasks), draftReplies (Draft replies for me), manageCalendar (Manage my calendar). This only stages a request: the owner opens the link in their browser, reviews it, and approves it there with their agent PIN. Never ask for or accept the PIN in chat.
    ConnectorOAuth
  • Get the full agenticness evaluation breakdown: 9 dimensions (action capability, autonomy, planning, adaptation, state continuity, reliability, interoperability, safety, operator sovereignty) scored 0-4 each (max 36, Agenticness rubric v3.1) with evidence-based reasoning. Use this for deep analysis of one tool's AI agent capabilities. For a quick score, get_listing includes the overall score. For comparing scores, use compare_listings.
    ConnectorNo auth
  • Search qualifying AI capabilities across AWS Marketplace and the Official MCP Registry. Returns both sources by default.
    ConnectorNo auth
  • List available Flux resources and capabilities. Start here: every other tool takes a resource_id from this list, and a resource's capabilities say which of them it will accept.
    ConnectorAPI key