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312,396 tools. Last updated 2026-07-28 10:01

"Understanding and Using Analytics Tools" matching MCP tools:

  • lago_analytics_mrr

    lago

    Monthly recurring revenue (MRR) from subscription fees. Lago API: GET /analytics/mrr.
    Connector

  • fba_fbm_cost_comparison

    Friday Seller Tools

    A deterministic Amazon US cost comparison and XLSX worksheet using only seller-supplied FBA, FBM, product, referral, fixed-cost, and volume inputs. PAID SKILL: $0.50 USD per call; this server never runs paid work for free, and calling this tool returns payment instructions only. Pay per call with x402 (POST https://friday-seller-tools-production.up.railway.app/v1/amazon/fulfillment/fba-vs-fbm-costs and settle the 402 challenge in USDC) or buy with a card at https://friday-seller-tools-production.up.railway.app/buy?service=fba_fbm_cost_comparison. Free sample output: https://friday-seller-tools-production.up.railway.app/v1/examples/fba_fbm_cost_comparison.
    Connector

  • bundle_pricing_optimizer

    Friday Seller Tools

    A deterministic price-scenario calculator that compares bundle sizes and candidate discounts using your single-unit price, product and fulfillment costs, fixed order fee, percentage fee, and target contribution margin. PAID SKILL: $0.25 USD per call; this server never runs paid work for free, and calling this tool returns payment instructions only. Pay per call with x402 (POST https://friday-seller-tools-production.up.railway.app/v1/pricing/bundle-multipack-optimizer and settle the 402 challenge in USDC) or buy with a card at https://friday-seller-tools-production.up.railway.app/buy?service=bundle_pricing_optimizer. Free sample output: https://friday-seller-tools-production.up.railway.app/v1/examples/bundle_pricing_optimizer.
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  • promotion_profit_guard

    Friday Seller Tools

    A deterministic comparison of up to eight promotion scenarios using your discount, expected units, referral, fulfillment, redemption, and fixed fees. PAID SKILL: $0.25 USD per call; this server never runs paid work for free, and calling this tool returns payment instructions only. Pay per call with x402 (POST https://friday-seller-tools-production.up.railway.app/v1/pricing/promotion-profit-guard and settle the 402 challenge in USDC) or buy with a card at https://friday-seller-tools-production.up.railway.app/buy?service=promotion_profit_guard. Free sample output: https://friday-seller-tools-production.up.railway.app/v1/examples/promotion_profit_guard.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • tools

    Pay-per-call AI tools over x402: web research, summarization, structured extraction (USDC, Base).

  • analytics

    Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.

  • demo

    Frisian MCP (Django)

    Live working demo of frisian-mcp. Three capability groups: crm (contacts, companies, deals, tasks, memos), ops (automation, infrastructure, notifications, security, compliance), platform (analytics, data, reporting, integrations, users). All reads and writes are real and persistent.
    Connector

  • listDependenciesForEntity

    Cortex

    List all dependencies for an entity including both incoming (who depends on this service) and outgoing (what this service depends on) relationships. Essential for understanding service interactions, planning changes, and assessing blast radius
    Connector

  • getDependency

    Cortex

    Get specific dependency details between two entities including method, path, and metadata. Useful for understanding the nature of the relationship, API contracts, and communication patterns between services
    Connector

  • getInitiative

    Cortex

    Retrieve detailed information about a specific initiative including its goals, timeline, affected entities, scorecard targets, and current progress. Essential for understanding initiative scope and tracking achievement of objectives
    Connector

  • getRelationshipTypeDetails

    Cortex

    Get complete details of a specific relationship type including its configuration, rules, source/destination filters, and inheritance settings. Essential for understanding how entities can be connected and what validation rules apply
    Connector

  • listEntityRelationships

    Cortex

    List all entity relationships/full graph for a specific relationship type across the entire organization. Returns paginated results showing all source-destination pairs, useful for understanding the complete relationship graph and finding all connections of a particular type
    Connector

  • getScorecard

    Cortex

    Get complete details of a scorecard including its configuration, rules, levels, weights, exemption settings, and evaluation criteria. Essential for understanding how services are evaluated and what standards they must meet
    Connector

  • images_generate

    DialogBrain

    Generates a PNG image from a text prompt using Gemini 2.5 Flash Image. Returns a file_id consumable by messages.send(attachments=[...]) and other file-aware tools. Supports up to 12 reference image file_ids for subject-consistent edits and composition (use file IDs from the [ATTACHMENTS] block, files.search, or search.files). Latency: ~8-10s per image. Output: 1024×1024 PNG.
    Connector

  • get_repo_languages

    github-mcp-server

    Analyze the programming language composition of a GitHub repository. Returns percentage breakdown of languages used, dominant language, and file counts per language. Use for understanding project tech stack or evaluating language distribution.
    Connector

  • browser_take_screenshot

    DialogBrain

    Capture a PNG screenshot of the page or a specific element. Returns base64-encoded image bytes AND a file_id (persisted in DialogBrain files storage). Pass file_id straight to messages.send(attachment_file_ids=[file_id]) — do NOT call files.upload again. Use sparingly — favor browser.snapshot for structured DOM understanding.
    Connector

  • search_h1b_salaries

    hr-compensation-mcp-server

    Search the U.S. H1B visa salary database for sponsored employment data. Returns employer name, job title, approved salary, visa year, work location (city/state), and visa status. Use for understanding visa compensation trends, benchmarking tech salaries, or researching employer sponsorship patterns.
    Connector

  • ga_run_report

    Google_analytics

    Query GA4 analytics data by dimensions (e.g., "city", "pagePath") and metrics (e.g., "activeUsers", "sessions") for a date range. Returns aggregated data rows with dimension and metric values.
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