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A Model Context Protocol server for Genesys Cloud's Platform API, enabling AI assistants to interact with Genesys Cloud contact center features through standardized MCP tools.
Aggregates multiple MCP servers into a single gateway with unified search and invoke interfaces, reducing context overhead by exposing only 5 core tools instead of hundreds of individual tool schemas.
Enables AI systems to securely retrieve and interact with Bitbucket repositories, pull requests, projects, and code in real-time through standardized communication protocols.
Generates production-ready n8n workflows from natural language text, automatically validating, repairing, and optimizing the workflow design using a comprehensive 13-point validation engine.
from ITSpecialist111/MicrosoftGraph_Transcript_MCP
from steveday763/cs_android_mcp
Transforms content into a semantically searchable knowledge base by embedding and indexing documents for AI-powered contextual understanding and retrieval.
Enables web data retrieval and content access across geographic restrictions with advanced scraping and anonymity features for AI clients and applications.
Provides a structured, multi-domain problem-solving MCP server that applies wisdom framework techniques inspired by the Lotus Sutra to break down complex problems through analytical and intuitive thinking.
Enables AI agents to read, create, update, and manage Twenty CRM data through a standardized, type-safe Model Context Protocol interface.
Searches Google Scholar for academic papers and research, providing structured results through an HTTP-based Model Context Protocol (MCP) server that can be integrated with AI models.