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visua.link

Visualink MCP server provides project listing and basic analytics summaries for accessible Visualink projects.

1 endpoint3 known toolsFirst detected October 10, 2026Last detected October 10, 2026

ENDPOINT 1

https://visua.link/mcp

No auth detected

MCP server metadata

Name
visualink
Version
0.1.0
Capabilities
tools.listChanged

Known tools 3

liveness

Check that the Visualink MCP server is reachable and responding.

Inferred read-only
list_projects

List the Visualink projects accessible to the authenticated user.

Inferred read-only
get_analytics_summary

Get basic analytics totals for one accessible Visualink project.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.visualink]
url = "https://visua.link/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "visualink": {
      "type": "http",
      "url": "https://visua.link/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: visualink
Remote MCP URL: https://visua.link/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "visualink": {
      "url": "https://visua.link/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "visualink": {
      "type": "http",
      "url": "https://visua.link/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "visualink",
  "transport": "streamable-http",
  "url": "https://visua.link/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.