Skip to content
mcp/skillhub

SLXD Training MCP Server

app.slxd/trainingv1.0.0

Manage training records, groups, enrolments and certificates from an AI assistant.

remoteofficial registry

context tax

not measurable

security

pending

cold start

hosted

freshness

Active1d ago

Our reading of SLXD Training, from the data

SLXD Training is an MCP server, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

Maintenance is active: the last public signal was in the last day (2026-10-18).

It runs as a hosted endpoint, so there is nothing to install.

Install SLXD Training MCP server

Install in Claude Code

claude mcp add --transport http training https://{tenant}.slxd.app/mcp/training

Remote endpoints

  • streamable-httphttps://{tenant}.slxd.app/mcp/training

Freshness

Active — last maintenance signal 1d ago. The newest of the signals below sets the band.

  1. Last commit (default branch)

    no data · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    2026-10-18 · 1d ago · official registry · v1.0.0

FAQ

›How do I install the SLXD Training MCP server in Claude Code?

Run: claude mcp add --transport http training https://{tenant}.slxd.app/mcp/training. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does SLXD Training require an API key?

No required environment variables are declared in its published metadata.

›Can I use SLXD Training as a remote (hosted) MCP server?

Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.

›Is SLXD Training in the official MCP registry?

Yes, as app.slxd/training.

Sources and method

Official MCP Registry entry
updated 2026-10-18
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Editorial standards are owned by Ramachandra Vikas Chamarthi, Founder & AI HPC Architect. Spot an error? Request a correction or claim the listing.