MCP Simple OpenAI Assistant
Related Servers
Alternatives to MCP Simple OpenAI Assistant
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceAn educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.1163MIT
- AlicenseBqualityCmaintenanceA Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.116276MIT
- AlicenseNot gradedqualityCmaintenanceA universal server that enables MCP-compatible clients (like Claude Desktop, Cursor, VS Code) to access OpenAI's APIs for chat completions, image generation, embeddings, and model listing through a standardized interface.77MIT
- FlicenseBqualityDmaintenanceA Model Context Protocol server that enables Claude users to access specialized OpenAI agents (web search, file search, computer actions) and a multi-agent orchestrator through the MCP protocol.410-
- AlicenseNot gradedqualityDmaintenanceA simple MCP server that allows AI assistants to read from and write to the system clipboard.3MIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server implementation that enables connection between OpenAI APIs and MCP clients for coding assistance with features like CLI interaction, web API integration, and tool-based architecture.35-
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose targeting specific resources and actions in the OpenAI Assistant domain. For example, ask_assistant_in_thread handles messaging, create_assistant/update_assistant manage assistants, and create_new_assistant_thread/delete_thread/update_thread manage threads. There is no overlap or ambiguity between tools.
All tools follow a consistent verb_noun naming pattern with snake_case throughout. Examples include list_assistants, create_assistant, update_thread, and delete_thread. This predictable naming makes it easy to understand each tool's function at a glance.
With 9 tools, this server is well-scoped for managing OpenAI Assistants and threads. It covers core operations like creating, listing, updating, and deleting both assistants and threads, plus the essential ask_assistant_in_thread for interactions. Each tool earns its place without being excessive.
The tool set provides complete CRUD/lifecycle coverage for both assistants and threads. It includes create, retrieve, list, update, and delete operations for both resources, plus the ask_assistant_in_thread tool for core functionality. There are no obvious gaps that would hinder agent workflows.