pulsemcp verified Safe content atomic mcp-remote

PRIMS (Python Runtime)

PRIMS (Python Runtime Interpreter MCP Server) provides AI assistants with secure Python code execution capabilities through an isolated sandbox environment built with FastMCP and Docker. The implementation creates session-persistent workspaces where code runs in virtual environments with configurable pip requirements, supports mounting remote files for data analysis workflows, and automatically captures output artifacts like plots and CSV files that can be served via HTTP endpoints or uploaded to presigned URLs. Built by Hileamlak Mulugeta Yitayew with comprehensive tooling including workspace inspection, file mounting, and artifact persistence, PRIMS serves developers needing reliable Python execution for data science workflows, AI assistants requiring computational capabilities with file I/O, and applications where secure code sandboxing with session persistence is essential for multi-step analytical tasks.

Cognium trust score

95%

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: cloud-infra
Source: PulseMCP
Repository: github.com/hileamlakb/python-runtime-interpreter-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve PRIMS (Python Runtime) 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"