pulsemcp Safe content atomic mcp-remote

MCP Science

This MCP server launcher provides a unified command-line interface for discovering and running scientific research MCP servers from the Path Integral Institute's collection. Built with Python and Click, it uses uvx to dynamically install and execute servers from either local development directories or remote Git branches, automatically handling dependencies and offering branch-specific deployment for testing new features. The implementation serves as a package manager and launcher for scientific computing MCP servers, making it valuable for researchers who need easy access to multiple specialized scientific tools without manual installation of each server, and for developers building AI assistants that require programmatic access to scientific computing capabilities across different research domains.

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: version-control
Source: PulseMCP
Repository: github.com/pathintegral-institute/mcp.science
Author type: human
Updated: 2026-04-29

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MCP

Resolve MCP Science 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"