pulsemcp verified Safe content atomic mcp-remote

Code Runner

Code Runner MCP Server enables AI assistants to execute code snippets in multiple programming languages directly within conversations. Built by Jun Han, it supports over 30 languages including JavaScript, Python, Ruby, Go, and more by creating temporary files and executing them with the appropriate interpreter. The server is designed for easy integration with VS Code and Claude Desktop through simple configuration, making it ideal for demonstrating code examples, testing algorithms, or exploring system information without leaving the conversation interface.

Cognium trust score

92%

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

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: file-system
Source: PulseMCP
Repository: github.com/formulahendry/mcp-server-code-runner
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Code Runner 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"