Content Tools

muvezzi.com

Provides access to news articles and categories, with search and detail retrieval for Müvezzi content.

1 endpoint4 known toolsFirst detected September 4, 2026Last detected September 4, 2026

ENDPOINT 1

https://muvezzi.com/api/mcp

No auth detected

Capabilities

toolsresources

Fetch recent published news articles from Müvezzi

Inferred read-only

Search news articles on Müvezzi by keyword query

Inferred read-only

List all active news categories on Müvezzi

Inferred read-only

Retrieve full text and details of a specific news article by Post URL ID

Potential side effects

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.m-vezzi-mcp-server]
url = "https://muvezzi.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "m-vezzi-mcp-server": {
      "type": "http",
      "url": "https://muvezzi.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: m-vezzi-mcp-server
Remote MCP URL: https://muvezzi.com/api/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": {
    "m-vezzi-mcp-server": {
      "url": "https://muvezzi.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "m-vezzi-mcp-server": {
      "type": "http",
      "url": "https://muvezzi.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "m-vezzi-mcp-server",
  "transport": "streamable-http",
  "url": "https://muvezzi.com/api/mcp"
}

MCP Inspector

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

TRUST AND VERIFICATION 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.