# Webvizio MCP Server

> Use this tool when you need to streamline AI-powered development workflows by interacting with projects and tasks through a standardized interface. It solves problems related to task management, project monitoring, and data access by providing inputs such as project details and outputs like screenshots and logs. Ideal for use in development environments where AI clients require seamless integration with Webvizio projects.

Canonical page: https://skillsregistry.net/skills/webvizio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/webvizio-mcp

## Description

Enables AI clients to interact with Webvizio projects and development tasks through a standardized interface. Provides access to task management, screenshots, logs, and project details for streamlined development workflows.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ctlb4kkst3)
- **Repository:** <https://github.com/Webvizio/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "webvizio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webvizio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webvizio-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt