pulsemcp scanned Safe content atomic mcp-remote

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.

Cognium trust score
30%
Tier
Scanned

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
Author type
human
Last scanned
2026-09-19
Updated
2026-09-19
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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