LLM Completions
This MCP server, developed by pyroprompts, enables AI assistants to interact with any OpenAI SDK-compatible chat completion API, including OpenAI, Perplexity, Groq, xAI, and PyroPrompts. It provides a single 'chat' tool that relays questions to the configured AI provider and returns responses. Built in TypeScript, the implementation offers a flexible way to integrate various AI models into Claude Desktop through a standardized MCP interface. By abstracting away provider-specific details, this server allows easy switching between different AI services without changing the core integration. It is particularly useful for users who want to leverage multiple AI providers within Claude, experiment with different models, or avoid vendor lock-in while maintaining a consistent interaction pattern.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve LLM Completions 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.