"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.

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.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

Enables external AI clients to invoke an autonomous coding agent that plans, fixes, and self-corrects code in an isolated Docker sandbox via run_task and run_tests tools.

Provides AI coding assistants with code search, impact analysis, task chaining, and persistent memory to turn AI demos into deliverable code.

Enables AI coding agents to capture, inspect, and replay Stripe webhook events into a local handler with valid signatures, returning the handler's status and body so agents can debug failures directly.

Experimental MCP server for local LLM orchestration with filesystem tools (read, write, list, delete files) and a CLI agent that communicates via Ollama.

Read-only Stripe finance, ops, and risk reporting exposed via MCP, HTTP API, and CLI. Enables querying balances, payments, customers, payouts, reconciliation, and risk alerts without mutating Stripe state.

Provides safe repository operations, skill reading, command execution, and test detection for coding agents over stdio.

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.

Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.

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.

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.

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

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

Provides a local long-term memory layer for AI coding tools like Cursor and Claude Code, enabling cross-session, cross-tool sharing of project facts, user preferences, decisions, and workflows.

Exposes Open Video Guide functions to MCP clients, enabling conversion of tutorial videos into illustrated, verifiable guides with timestamps, evidence, and review states.