pulsemcp Safe content atomic mcp-remote

Code Expert Review

MCP Code Expert System provides code review capabilities through simulated expert personas like Martin Fowler and Robert C. Martin (Uncle Bob). Built with Python using FastAPI, it analyzes code snippets against established software engineering principles, offering refactoring suggestions and clean code recommendations. The system integrates with Ollama for AI-powered reviews, stores relationships in a knowledge graph, and supports both standard mode for Cursor IDE integration and SSE transport for web applications. This implementation is particularly valuable for developers seeking expert-level feedback on their code without leaving their development environment.

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.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: api-integration
Source: PulseMCP
Repository: github.com/tomsiwik/mcp-experts
Author type: human
Updated: 2026-04-25

View source Find related skills

MCP

Resolve Code Expert Review 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"