pulsemcp Safe content atomic mcp-remote

Second Opinion (Gemini)

Second Opinion is a code review and analysis tool that provides AI-powered second opinions on challenging coding issues using Google Gemini models. It features streaming responses with automatic fallback between Gemini models, context caching for cost reduction, multi-turn session management with budget controls, and agentic capabilities through web search and URL fetching tools with SSRF protection. The server includes secret scanning, structured prompting with XML delimiters to prevent injection, and supports both brief and detailed analysis modes with cost estimation and token tracking.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/cooneycw/claude-power-pack/tree/HEAD/mcp-second-opinion
Author type: human
Updated: 2026-05-03

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MCP

Resolve Second Opinion (Gemini) 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"