OpenAI MCP Server
Related Servers
Alternatives to OpenAI MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceExposes the OpenAI Admin API as MCP tools, enabling management of organization members, projects, service accounts, API keys, rate limits, usage, costs, and audit logs through natural language.31Apache 2.0
- AlicenseNot gradedqualityDmaintenanceProvides tools to interact with OpenAI API including chat completions, embeddings, content moderation, and file management through natural language.MIT
- AlicenseNot gradedqualityDmaintenanceProvides intelligent OpenAI API token management with automatic switching between model tiers when usage limits are reached. It enables users to track daily token consumption, estimate costs before making calls, and manage project-specific usage data.MIT
- FlicenseNot gradedqualityDmaintenanceProvides tools and integration for building OpenAI API agents, including function calling and fine-tuning data management.-
- AlicenseBqualityFmaintenanceExposes Open WebUI's admin APIs as tools, allowing AI assistants to manage users, groups, models, knowledge bases, and chats. It enables comprehensive administrative control and resource discovery while respecting the platform's native permission and authentication systems.8211MIT
- FlicenseBqualityDmaintenanceEnables interaction with OpenAI's Chat Completion and Assistants APIs, supporting assistant management, file operations, and direct queries to GPT models through standardized MCP tools.92-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_costs retrieves financial data for a specified period, while get_projects fetches organizational project information. There is no overlap in functionality, making it easy for an agent to select the correct tool based on the task.
Both tools follow a consistent verb_noun pattern (get_costs and get_projects), using the same verb 'get' and snake_case formatting. This uniformity makes the tool set predictable and easy to understand.
With only two tools, the server feels thin and under-scoped for an OpenAI MCP server, which might be expected to handle more operations like managing models, generating completions, or listing usage. The limited count suggests incomplete coverage of the domain.
The tool set is severely incomplete for an OpenAI server, lacking core operations such as creating or managing projects, generating text or images, or accessing model details. This will likely cause agent failures when attempting common OpenAI-related tasks.