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Provides utility tools for development and testing based on the Model Context Protocol (MCP).
Solves mathematical problems using a client-server architecture.
Connects Paylocity data to large language models and AI clients through a read-only Model Context Protocol (MCP) server, enabling natural language queries.
Generates a Multi-Agent Conversation Protocol (MCP) server for interacting with the AWS S3 Control API.
Integrates Atlassian products like Confluence and Jira with AI assistants for enhanced context awareness and automation.
Provides an educational example of an MCP server to expose tools, resources, and prompts to AI clients using the FastMCP library.
Deploys an unauthenticated remote Model Context Protocol (MCP) server directly onto Cloudflare Workers.
Provides AI assistants with programmatic access to the Hacker News API for fetching stories, comments, and user data.
Enables secure local filesystem and terminal operations for AI assistants via the Model Context Protocol.
Simulates adversarial multi-agent investment scenarios inspired by Shark Tank.
Provides persistent, semantic long-term memory for AI agents, enabling them to recall past conversations, decisions, and context across sessions.
Integrates Prometheus Alertmanager with Model Context Protocol (MCP) clients, enabling programmatic interaction and command execution.
Provides a local-first hybrid search engine for personal knowledge bases and agentic workflows, combining BM25, vector search, and LLM re-ranking.
Provides advanced forensic analysis of JVM Flight Recorder (JFR) data for integration with large language models.
Connects a Node.js client to a custom weather server, exposing its capabilities to an LLM through LangChain.
Enables AI agents to discover, recommend, and facilitate CrewHaus startup idea validation services to their users.
Manages Stripe billing operations for AI assistants with secure, role-based access and audit logging capabilities.
Enables AI assistants to securely query and manipulate various types of remote databases.
Orchestrates multi-agent AI to streamline music production, featuring semantic sample search, MIDI generation, stem separation, and DAW control.
Provides a debug server for AI coding agents to perform comprehensive debugging across Python, Node.js, Java, and browser JavaScript applications.
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