Coinbase Payments MCP MCP Server Pricing 2026

The Stripe MCP server is Stripe's official Model Context Protocol integration, giving AI assistants direct access to your Stripe account through natural-language interactions. Built and maintained by Stripe as part of the stripe/agent-toolkit repository, this server exposes payment infrastructure as callable MCP tools: create and retrieve customers, generate payment intents, list products and prices, manage subscriptions, query invoice history, and look up charge details — all from within Claude, Cursor, or any MCP-compatible AI client. The Stripe MCP server is designed for indie developers, fintech teams, and SaaS operators who want to query payment data, draft refund workflows, debug failed charges, or generate revenue reports without opening the Stripe Dashboard. Authentication requires a Stripe Secret Key (sk_live_... for production, sk_test_... for sandbox testing). Real-world workflows include asking Claude to summarize yesterday's failed payments, list customers whose subscriptions expire this week, generate subscription cohort breakdowns, or draft dunning email copy based on at-risk MRR segments — all grounded in live Stripe data. Install via npm as part of the agent-toolkit package. Works with Claude Desktop, Cursor, VS Code, Windsurf, and Cline.

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Plaid's official AI Coding Toolkit ships a local sandbox MCP server (in `/sandbox`) that speeds up building Plaid integrations with AI coding assistants — it generates mock financial data, searches Plaid documentation, issues sandbox access tokens, and simulates webhooks, so a developer can test an integration end-to-end without touching real bank data. The repo also bundles product-specific `/rules` guides meant to be dropped into CLAUDE.md, AGENTS.md, or Cursor rules so an AI assistant has Plaid integration context automatically. It complements two other first-party Plaid AI tools referenced in the same repo: the Plaid CLI (terminal access to financial data) and the Plaid Dashboard MCP (runtime dashboard access, docs-hosted at plaid.com/docs/resources/mcp). For read-only personal-finance use cases spanning multiple providers, elcukro/bank-mcp is a community alternative that supports Plaid alongside Teller, Enable Banking, and Tink.

The Shopify MCP Server (GeLi2001/shopify-mcp) gives AI assistants full CRUD access to a Shopify store through the GraphQL Admin API, turning natural-language requests into store operations. It exposes tools across five areas: product management (create, update, delete products, variants, and options — 8 tools), customer management (lookups, merges, address management — 8 tools), order management (smart lookup, cancel, close/open, mark as paid, fulfillment, and refunds — 10 tools), metafields (get/set/delete on any resource), and inventory (set absolute quantities per location), plus tagging and cursor-based pagination with Shopify's native query syntax on every list endpoint. Authentication supports two paths: the modern Dev Dashboard flow (required for new apps created after January 2026), which uses OAuth client credentials that the server automatically exchanges and refreshes, or a legacy static shpat_ access token for existing custom apps. Install via `npx shopify-mcp` (package name shopify-mcp, published to npm) with either --clientId/--clientSecret or --accessToken/--domain flags passed in your MCP client config — no separate server process to manage. Typical use: ask Claude to "find all orders over $500 from the last week and tag the customers as VIP," and the server handles the GraphQL queries and mutations directly against the store's Admin API. Shopify itself also publishes an official shopify-dev-mcp for app/theme developers working against Shopify's documentation and APIs, which is a separate, docs-focused tool from this store-data server.

The official Financial Datasets MCP Server gives Claude and other AI assistants direct access to stock market and crypto data through the Financial Datasets API, so an assistant can pull real fundamentals and prices instead of relying on stale training data. It exposes ten tools: get_income_statements, get_balance_sheets, and get_cash_flow_statements for company financial statements; get_current_stock_price and get_historical_stock_prices for equity pricing; get_company_news for recent headlines; and get_available_crypto_tickers, get_current_crypto_price, get_crypto_prices, and get_historical_crypto_prices for crypto markets. It is a Python server built on the official `mcp[cli]` SDK plus httpx, requiring Python 3.10+ and the uv package manager. Setup is clone the repo, run `uv venv && uv add "mcp[cli]" httpx`, then supply a FINANCIAL_DATASETS_API_KEY in a .env file before pointing Claude Desktop's config at `uv run server.py` with the project's absolute path. Once connected, an assistant can answer questions like "what are Apple's recent income statements" or "get historical prices for MSFT from 2024-01-01 to 2024-12-31" using live data rather than guessing.

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