OpenAI MCP
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/arthurcolle/openai-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve OpenAI MCP from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.