"Guide to Coding and Implementing Stripe Elements" matching MCP servers:

A local MCP server for Stripe payment operations with 52 tools across 8 domains, featuring built-in PII redaction and strict input validation for safe AI-assisted development workflows.

Provides real-time Stripe subscription analytics including MRR, churn, failed payments, and expiring trials. Enables AI assistants to answer business health questions like 'How's my business doing?'

Enables AI agents to query Stripe operations such as customers, recent charges, duplicate charges, and revenue summaries through read-only MCP tools.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

MCP server for coding-os, a cognitive operating system that gives AI agents memory, structure, and discipline. It exposes tools for project management, task tracking, knowledge graphs, and cognition traces to Claude Code and Codex.

Enables Claude to integrate with Stripe for creating payment links, processing payments, and managing products and customers.

Stripe Billing - MCP server providing AI-powered tools and automation by MEOK AI Labs

A server providing programming guidelines and coding standards for multiple languages, enabling access and search of best practices for C#, Go, JavaScript, Python, and TypeScript.

Provides intelligent semantic code search using local AI embeddings, enabling natural language queries to find relevant code by meaning rather than exact keywords. Indexes codebases in the background with smart project detection and privacy-first local processing.

Enables AI assistants to perform intelligent semantic code search across codebases using local AI embeddings for meaning-based retrieval.

Enables supervising and orchestrating local coding agents like Muse and AGY through a client-agnostic MCP interface, with isolated Git worktrees, safe execution, and deterministic verification.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

Enables any MCP client to read, search, patch, and execute commands in a codebase, including interactive sessions and git operations, with permission modes and safety boundaries.

Provides coding agent capabilities including file operations, terminal commands, search functionality, and utility operations.

Enables agents to run 14 billing and finance workflows across Stripe, Gmail, Slack, Google Calendar, Sheets, Drive, Docs, GitHub, Shopify, Linear and Notion — from generating invoices and chasing failed payments to reconciling payouts, assembling dispute evidence and building revenue and fee reports. Reads run automatically, while anything that creates, sends, changes or deletes is shown for approval first.

An MCP execution layer that lets capable AI models safely control a developer workstation for file edits, terminal and process execution, Git operations, language-server analysis, browser and Windows UI automation, media processing, job/resource control, and checkpointing. It also coordinates durable single- or multi-agent tasks across providers with leases, dependency graphs, evidence logs, repair loops, and separate verification gates.

Enables delegating coding tasks to multiple AI CLI agents (Claude Code, Antigravity, Codex, Cursor) with session memory and diff inspection.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.