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Enables MCP clients to coordinate with other agents in virtual rooms using the Room protocol.
Provides insights from an EventCatalog instance directly within an MCP client, such as Claude or Cursor.
Deploys a Model Context Protocol Server-Sent Events (SSE) deployment on Google Cloud Run with IAM authentication.
Enhances AI model reasoning by implementing structured, retrieval-augmented thinking processes.
Builds high-performance Model Context Protocol (MCP) servers using Bun and the Elysia web framework to expose resources, tools, and prompts to LLMs.
Provides filesystem tools for use within Claude Desktop or other Model Context Protocol (MCP) clients.
Enables AI agents to intelligently construct buildings, manage gameplay, and design structures within Minecraft.
Integrates with Microsoft Security Copilot and Sentinel to enhance development, testing, and deployment of security artifacts.
Provides an HTTP-based Model Context Protocol (MCP) server with SSE and streamable support.
Manages knowledge base searches by automating workflow orchestration and intent recognition.
Analyzes codebases and builds a comprehensive graph database using Neo4j to enable AI-powered code understanding and assistance.
Captures screenshots and monitors console logs from web pages using Playwright, serving as a Model Context Protocol (MCP) server.
Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo through the Model Context Protocol.
Integrates Firewalla firewall data with AI platforms like Claude for advanced network security monitoring and management.
Empower any AI agent with modular, reusable domain-specific capabilities by integrating Claude's Skills pattern.
Empowers AI assistants with comprehensive, up-to-date Minecraft modding documentation for Fabric and NeoForge.
Enables agentic interaction with Autodesk Maya sessions, executing arbitrary Python code and managing multiple instances.
Process video and audio files by converting, compressing, trimming, and extracting media with FFmpeg through natural language commands.
Builds a knowledge graph from your codebase, enabling AI tools to reason over architectural structure, analyze impact, and provide precise answers.
Empowers AI agents with framework-aware code intelligence and cross-language dependency graphs, significantly reducing token usage and enhancing code understanding.
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