AssessLane
com.assesslanev0.1.0Updated Oct 8, 2026
Create, review, assign and track team training assessments from your AI client.
Overview
AI-generated overview
Lets an assistant create, review, assign and track team training assessments through a remote AssessLane endpoint.
- What it does
- AssessLane is a remote MCP server that connects an AI client to a team training assessment workflow. According to its description, it lets the assistant create assessments, review them, assign them to people, and track their progress. The manifest lists no tools, so the exact operations are not documented here.
- When to use it
- Worth considering when a team already uses AssessLane for training assessments and wants to create, assign or track them from an AI client instead of the web interface. It is less useful if you do not use AssessLane or need offline or local assessment handling.
- Requirements
- A remote MCP connection to the endpoint at assesslane.com over streamable HTTP. The manifest declares no authentication, no environment variables and no headers, and no local package or runtime. An AssessLane account is likely needed to reach your team's data, but this is not stated in the input.
Before you install
The manifest declares no authentication, so it is unclear how access to your team's assessment data is controlled or who can reach it once connected. Creating, assigning and tracking assessments changes data in your AssessLane workspace and may notify the people assigned. Confirm the provider's access controls and data handling before connecting.
Installation
In SourceWeft
- Open AssessLane in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"assesslane": {
"type": "http",
"url": "https://assesslane.com/api/mcp"
}
}
}Tools
0Tool metadata has not been indexed yet.
Version history
1- v0.1.0LatestOct 8, 2026