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649,985 tools. Updated 2026-10-11 18:47

"Information about DeepSeek and its Applications" matching MCP tools:

  • Get live Gonka Network pricing — cheap alternative to OpenAI and Anthropic APIs. Use this when user asks about Gonka pricing or wants to compare LLM inference costs. Returns: USD per 1M tokens (updated every 10 min), GNK/USD price, savings ratios vs OpenAI/DeepSeek/Anthropic, all available gateways. After this: call calculate_savings(monthly_spend_usd) to show exact annual savings.
    ConnectorNo auth
  • What VenuMark is (the food vendor application and compliance platform for Florida events), how the workflow runs, current pricing tiers, and which tier fits an organizer. Use when someone asks about running vendor applications, pricing, or whether VenuMark fits their event.
    ConnectorNo auth
  • LLM chat completion per call — no account, no API key, no token math. Three flat-priced tiers: fast $0.002 (DeepSeek v4 Flash), smart $0.02 (GPT-5.4 mini), reasoning $0.03 (DeepSeek v4 Pro). Send OpenAI-style messages, get the assistant reply with finish_reason and token usage. Input capped per tier (16k-32k chars); the 402 quotes the exact tier price up front. Model or source unavailable means a 503 and you pay nothing. USDC on Base.
    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
  • Get detailed metadata for a specific book by its ID (description, abstract, pricing, license terms, etc). Use this when the user asks about a specific book by name or ID, or wants more information than search_books returned.
    ConnectorNo auth
  • Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
    ConnectorNo auth

Matching MCP Servers

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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Matching MCP Connectors

  • List the candidate's own job applications (newest first) with status, dates, the originating interview score, and a job summary. Returns only the caller's applications — no jobId input, so it is not an enumeration surface.
    ConnectorNo auth
  • What is burning today: applications with next_action_due today or overdue. Call this when the user asks "what should I do today?" about their job search.
    ConnectorNo auth
  • Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.
    ConnectorNo auth
  • Check the current user's token status and account information. This tool retrieves information about: - User ID - Paid account status - Remaining generation tokens (for non-paid users) - Account validity Returns: A JSON string containing token status and account information
    ConnectorOAuth
  • Get information about a published website including its title, view count, size, expiry date, and whether it has been claimed. No authentication required — this is public information. Use this to check if a site is still live, see how many views it has gotten, or check when it expires.
    ConnectorNo auth
  • Get information about a published website including its title, view count, size, expiry date, and whether it has been claimed. No authentication required — this is public information. Use this to check if a site is still live, see how many views it has gotten, or check when it expires.
    ConnectorNo auth
  • Retrieve detailed information about a specific campaign including its status, budget, participants, and delivery metrics.
    ConnectorNo auth
  • Retrieve detailed information about a specific scheduled message, including its status, send time, and message content.
    ConnectorNo auth
  • Get task details including all applications from humans: their name, rating, completed tasks count, cover letter, and — after submission — result_text and result_file_url (photo/file). Use this to poll for new applications and submitted results.
    ConnectorNo auth
  • Get detailed information about a specific airport lounge by its slug. Returns full description, amenities, access methods, opening hours, capacity, ratings, and reviews count.
    ConnectorOAuth
  • Get information about who built this MCP server and why.
    ConnectorNo auth
  • How often an employer replies to applications. For "do they actually reply?". From Job Spotter users who track their applications: the share of applications that got any answer (interview, offer or rejection) within the time tracked, and the usual wait. Shown only from 5 tracked applications, so nobody can be singled out.
    ConnectorNo auth
  • Get metadata and details for a specific FRED series. Returns comprehensive information about a series including its title, frequency, units, seasonal adjustment, source, and date range. Use this to understand what a series measures before pulling observations. Args: series_id: FRED series identifier (e.g. 'UNRATE', 'GDP', 'CPIAUCSL').
    ConnectorNo auth
  • Get detailed information about a specific AI model, including its inputs, outputs, parameters, and plan requirements.
    ConnectorOAuth