pulsemcp verified Safe content atomic mcp-remote

Multi-LLM Cross-Check

Multi LLM Cross-Check MCP Server provides a unified interface for querying multiple LLM providers simultaneously, allowing users to compare responses side-by-side. Built with Python using FastMCP, this server integrates with Claude Desktop and supports OpenAI, Anthropic, Perplexity AI, and Google Gemini APIs through asynchronous parallel processing. The implementation handles API authentication, request formatting, and error management for each provider, making it particularly valuable for users who want to cross-reference AI responses for fact-checking, gathering diverse perspectives, or evaluating different models' capabilities on the same prompt.

Cognium trust score

100%

Tier

Verified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/lior-ps/multi-llm-cross-check-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Multi-LLM Cross-Check 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.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"