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Provides access to customer and order data from a store API using the Model Context Protocol.
Manage AI prompts with collections, variables, execution history, and import/export capabilities.
Enables Large Language Models to interact with and automate Git repositories.
Delivers custom prompts to guide bot interactions within an MCP client environment.
Deploys an authentication-less Model Context Protocol (MCP) server on Cloudflare Workers for remote tool access.
Collects and provides news data using Google News RSS feeds, integrated with AI workflow capabilities.
Transforms a Dify application into a Message Communication Protocol (MCP) server endpoint.
Applies RFC 6902 JSON Patch arrays to local JSON files.
Empowers AI assistants with deep code analysis capabilities, including AST-based test generation, OWASP-style security audits, and intelligent refactoring suggestions.
Simulates adversarial multi-agent investment scenarios inspired by Shark Tank.
Enables comprehensive Google Calendar management, including OAuth2 multi-account support and event scheduling, for Model Context Protocol (MCP) clients.
Enforce pre-execution governance for AI agents by validating tool calls and blocking risky operations with sub-millisecond latency.
Enables natural language interaction and management of Adobe Experience Manager instances for content, component, and asset operations.
Empower developers with an in-editor assistant to instantly generate SBOMs, scan for vulnerabilities, verify license compliance, and receive actionable remediation guidance.
Integrates AI assistants with the Kula recruiting API to manage jobs, applications, candidates, and webhooks.
Enhances AI coding assistants by providing persistent memory and structural code graph analysis for improved understanding and multi-agent coordination.
Manage and subscribe to real-time blockchain event webhooks through Crypto APIs for various on-chain activities.
Enables Claude to discover, search, and interact with A2A protocol-compliant AI agents.
Enables AI agents to perform breakpoint-driven debugging within live Chrome tabs, inspecting runtime values and controlling execution flow via the DevTools Protocol.
Optimizes AI coding agent context by understanding codebase structure and delivering relevant code based on current tasks.
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