pulsemcp scanned Safe content atomic mcp-remote

Multi-Service Gateway

This modular MCP server implementation provides a standardized way for AI models to interact with external tools and services through a unified gateway. It includes five specialized tools: GitHub for repository management, GitLab for project interactions, Google Maps for location services, Memory for persistent data storage, and Puppeteer for web automation. Built with Flask and designed for deployment on Red Hat environments, it features containerized deployment options using Podman or Docker, comprehensive error handling, and seamless integration with OpenAI and Anthropic LLMs through standardized request/response formats.

Cognium trust score
43%
Tier
Scanned

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 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
version-control
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
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Use via MCP

MCP

Resolve Multi-Service Gateway 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.

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