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MCP server

Matroska EBML check, file discarded

io.github.sadri-dridi/mkv-ebml

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Matroska EBML check, file discarded

Working at last checkAbout 9,811 tokens per request once connected31 tools

Source

https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp

At a glance

Type
MCP server
Publisher
Not verified
Status
Working at last check
Tools
31
Token cost
About 9,811 tokens per request
Sets up in
Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked
26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http mkv-ebml https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mkv-ebml]
url = "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp"

Gemini CLI

{"mcpServers":{"mkv-ebml":{"httpUrl":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp"}}}

Cursor

{"mcpServers":{"mkv-ebml":{"url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp"}}}

VS Code

{"servers":{"mkv-ebml":{"type":"http","url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp"}}}

Antigravity

agy mcp add mkv-ebml https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"mkv-ebml","server_url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mkv-ebml","server_url":"https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/mkv-ebml/mcp"}

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