A server implementation that provides Claude AI with the ability to interact with Zendesk ticketing systems through various functions including retrieving, searching, creating, and updating tickets.
Enables AI-powered ticket analysis and comprehensive Zendesk API integration via the Model Context Protocol, supporting both API token (CLI) and OAuth 2.1 (web) authentication modes.
A Model Context Protocol server that enables AI assistants like Claude to interact with Zendesk Support through natural language for searching, creating, updating, and managing tickets.
Enables AI assistants to fully interact with Odoo ERP instances over XML-RPC, supporting read and write operations on any model without requiring Odoo module installation.
Provides Kanban, Gantt, list views, multi-project management, and archiving for task management via MCP protocol, enabling Cherry Studio Agent to create, update, query, and organize tasks.
Provides AI assistants with persistent graph-based memory capabilities using Neo4j, enabling semantic search, relationship tracking, and knowledge organization across multiple project contexts.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
A demonstration implementation of a Model Context Protocol server that provides simple mathematical tools (add, subtract) and personalized greeting resources.
Enables diagnosis of Google Cloud Platform logs using Gemini AI via MCP tools, fetching logs from Cloud Logging for issue analysis and root cause identification.
