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Enables an MCP server to control a web browser for automated testing.
Automates responsible AI development and documentation by scanning projects, providing suggestions, and analyzing models.
Enables execution of JMeter tests via MCP-compatible clients.
Demonstrates and tests various mechanisms of the Model Context Protocol (MCP) using its TypeScript SDK.
Implements a Model Context Protocol server to facilitate operations and management of Easegress gateways.
Provides an extensible and production-ready template for building async Model Context Protocol (MCP) servers in Python.
Provides a secure, AI-powered chatbot for contextualized querying of internal AMDIE documents.
Automates real-time enforcement of TBC Bank development standards with integrated compliance checking and AI-powered code generation.
Provides real-time, privacy-preserving analysis of LLM interactions to detect out-of-distribution behaviors and recommend safety interventions.
Provides cognitive security for AI-assisted development by preventing dangerous commands and large AI code rewrites when a user is fatigued.
Unifies Cisco AI/ML telemetry from multiple operational platforms into a single intelligence layer for analysis, automation, and decision support.
Perform dry-run EVM transaction simulations to preview results and state changes without broadcasting them to the blockchain.
Performs deep entity screening across global sanctions lists and corporate registries to trace ownership and identify sanctions evasion.
Establishes a secure Model Context Protocol (MCP) server for ComfyUI, enabling AI assistants to safely generate images and manage workflows with robust security controls.
Verify AI agent competency and quality using challenge-response tests and W3C Verifiable Credentials.
Enables AI assistants to manage MikroTik RouterOS networks across multiple devices using natural language.
Provides cryptographic and encoding utilities such as hashing, encoding/decoding, ID generation, password tools, and JWT decoding for AI agents.
Facilitates programmatic interaction with the HOL Light proof assistant by wrapping a `hol-server` instance.
Automates comprehensive screening of healthcare providers across eight federal and academic databases to generate a Composite Credentialing Score and actionable recommendations.
Exposes a directory to an AI agent with read-only access, automatically excluding files matched by .gitignore and the .git directory.
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