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 gradedqualityCmaintenanceEnables read-only OpenAI organization usage and cost reporting via an admin API key, with tools to list connected billing accounts, retrieve normalized usage, and calculate costs for a date range.MIT
- AlicenseNot gradedqualityDmaintenanceProvides tools to interact with OpenAI API including chat completions, embeddings, content moderation, and file management through natural language.MIT

litellm-admin-mcpofficial
AlicenseNot gradedqualityAmaintenanceEnables agents to administer a LiteLLM gateway by creating and managing keys, model deployments, teams, budgets, and spending through MCP.MIT- AlicenseNot gradedqualityAmaintenanceEnables AI agents to manage API keys and child keys with budgets and spending caps, set plans and model routing, handle wallet payments and top-ups, and verify signed receipts through MCP tools.264 npmMIT
- 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
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.