pulsemcp Safe content atomic mcp-remote

Gumlet

This MCP server provides AI assistants with direct access to Gumlet's video and image processing APIs along with documentation search capabilities. Hosted remotely at https://docs.gumlet.com/mcp, it enables AI development tools like Cursor, Windsurf, and Claude Desktop to interact with Gumlet functionality including video asset management, live streaming, DRM integration, image transformations, and analytics without manual API navigation. The implementation supports authentication via query parameters and is designed for developers building media processing workflows, video streaming applications, and AI assistants that need programmatic access to Gumlet's content delivery and optimization services.

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: media
Source: PulseMCP
Author type: human
Updated: 2026-04-25

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MCP

Resolve Gumlet 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"