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Automates browser interactions via a cloud-based service for tasks like navigation, screenshot capture, and JavaScript execution.
Provides AI models with persistent memory by leveraging an Elasticsearch-backed knowledge graph.
Bridges AI models with Lark's collaboration platform, enabling interactions with its various capabilities.
Provides access to GitHub Advanced Security alerts for repositories.
Provides AI assistants with access to Laravel documentation and package recommendations via the Model Context Protocol (MCP).
Enables interaction with Neo4j databases through a Model Context Protocol (MCP) server using Server-Sent Events (SSE).
Facilitates the integration of tools within the UnifAI Multi-Cloud Platform (MCP) ecosystem.
Deploys a remote Model Context Protocol (MCP) server to Cloudflare Workers without requiring authentication.
Delivers true random numbers for large language models by leveraging atmospheric noise from random.org.
Automates the generation, compilation, and uploading of Arduino, ESP8266, and ESP32 firmware using local Large Language Models and Arduino CLI.
Provides a Model Context Protocol server for integrating AI assistants with Black Duck Coverity Connect static analysis.
Integrates DingTalk robot notifications directly with Claude Code sessions to automate alerts and updates.
Enables natural language interaction with TickTick task management via AI clients like Claude, leveraging a high-performance unofficial API.
Manages project-specific AGENTS.md files and structured progress tasks through a Streamable HTTP endpoint.
Facilitates structured thinking for AI assistants by breaking down complex problems into sequential, revisable thoughts.
Provides a high-performance, local-first memory server in Rust, equipping AI agents with an advanced hybrid memory system combining knowledge graphs, vector embeddings, and full-text search.
Perform AI-optimized dynamic analysis of binaries through a hybrid MCP server, integrating tools like Frida, Pymem, and radare2, with a dedicated Windows agent for comprehensive runtime inspection.
Enables AI assistants to interact with a Diffusion server for topic management, configuration, and monitoring.
Enables RAG-powered knowledge sharing for multi-agent AI collaboration across enterprise teams and large-scale research projects.
Facilitates AI-assisted analysis of Windows digital forensics artifacts through a Model Context Protocol server.
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