"A bank account to use for payments" matching MCP servers:

A drop-in Context7 MCP proxy that manages multiple API keys, balancing quota usage, caching responses, and providing failover for the standard Context7 tools. It lets MCP clients like OpenCode use the standard Context7 tools without worrying about account selection or quota limits.

An MCP server that manages a pool of test accounts, leasing them out one at a time to prevent concurrent session collisions, with automatic reclamation of expired leases.

An MCP server that lets an AI agent use a real terminal the way a person does: type, press keys, click, read the screen, take a screenshot.

Runtime access for AI coding agents to observe and control Android and iOS apps.

A Model Context Protocol plugin that helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to tracking project goals, decisions, progress, and patterns.

Plan-bank MCP for AI agents and Notion. Agents read and write Markdown implementation plans with line + section addressing — no ad-hoc temp scripts.

Enables developers and AI agents to create, verify, refund, and check payments across multiple Indian payment gateways through one unified MCP toolset, with subscriptions, customers, webhooks, settlements, capability discovery, and credential-free mock testing.

A Model Context Protocol server that provides persistent project context management for AI-assisted development, specifically designed for the Cline VSCode Extension.

Enables AI coding agents to use several Netlify accounts simultaneously by running the official Netlify MCP server once per account and adding an account argument to each tool. It supports routing reads across one, multiple, or all accounts while keeping changes scoped to a single account and storing tokens in the OS credential store.

Enables coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.

Enables coding agents to control a locally connected Android phone or emulator over ADB through MCP tools for device setup, UI inspection, taps, swipes, Unicode text input, app launching, and bounded batch actions, plus a live screen sidebar with clipboard capture.

A Model Context Protocol server that provides structured workflow tools for managing software development projects through different complexity levels, offering specialized modes for project planning, design, implementation, and documentation.

An MCP server that helps teams create, manage, and access structured project documentation through six core document types, leveraging AI to generate comprehensive project knowledge management.

The iOS Simulator for coding agents: builds and runs Xcode projects, reads the screen as compact text, taps and types by label, and runs XCTest and XCUITest case by case.

Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.

Enables coding agents to browse, fetch, apply, and submit structured front-end style packs from the Taste Bank library. Provides tools for listing styles, retrieving CSS and templates, and managing style submissions via MCP.

An artifact store that lets coding agents and small teams publish, version, and review web artifacts through an MCP server or CLI, with stable URLs, access gates, and comments.

An MCP Server that provides a conversational interface to the UK Open Banking account information API, allowing agents to interact with bank account data through natural language commands.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

An MCP server that edits files through a real Neovim instance, giving agents access to LSP diagnostics, formatting, code actions, and plugin commands.

Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

MCP server that recommends which npm/PyPI libraries to use or avoid, with concise verdicts, alternatives, and code snippets, keeping responses under 500 tokens.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.