OpenAI MCP
Provides a high-performance bridge between OpenAI and Anthropic models with prompt templating, response streaming, and efficient c
This OpenAI-compatible MCP server implementation provides a bridge between AI assistants and large language models, supporting both OpenAI and Anthropic models. It features a robust architecture with prompt templating, streaming responses, efficient caching, and comprehensive error handling. The server exposes endpoints for health checks, context generation, and prompt management, while also offering advanced features like token usage tracking and Prometheus metrics integration. Ideal for applications requiring reliable, high-performance access to LLMs with the flexibility to customize prompts and manage response caching.
Source
Repository: https://github.com/arthurcolle/openai-mcp
Maintain OpenAI MCP?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[OpenAI MCP on getagentictools](https://getagentictools.com/mcp/arthurcolle-openai-mcp?ref=badge) Related mcp
ScreenshotOne Integrates with ScreenshotOne's API to enable rendering of website screenshots for visual testing, content monitoring, and creatin
Monday.com Integrates with Monday.com to enable creating items, retrieving board groups, adding comments, listing boards, and managing sub-it
Qlik Sense Integrates with Qlik Sense Enterprise through Repository and Engine APIs to enable querying data models, managing applications and
Trello Integrates with Trello to enable task management operations like retrieving cards, managing lists, and monitoring board activity f
Bhived Shared knowledge graph, skills, and tool discovery network for AI agents.
Maya Connects to multiple Autodesk Maya sessions through automatic discovery and command port bootstrapping, enabling Python code execu