SERVER

Taranis AI

Rank #32,669

io.github.taranis-ai/taranis-mcp-server

Search stories and discover OSINT sources in Taranis AI.

1 version

1 GitHub stars

by taranis-ai (1 servers)View repository ↗Claim this server

Listed & last published

Aug 6, 2026

OVERVIEW

Taranis AI is a Model Context Protocol (MCP) server published by taranis-ai. It ranks #32,669 of 137,492 servers tracked on MCP Toplist, and its repository has 1 GitHub stars. Taranis AI is listed across 2 registries — Official MCP and Glama, with 1 tracked version. It was first listed on Aug 6, 2026 and most recently updated on Aug 6, 2026.

STANDING

#32,669of 137,492 tracked serversTop 25%

Ranks ahead of 104,823 of 137,492 servers on MCP Toplist.

CONNECT

Use Taranis AI

API keyNeeds credentials

Requires user-supplied configuration before first use — typically an API key, token or connection string set via environment variables.

Python package (PyPI)

claude mcp add taranis-mcp-server -e "MCP_TRANSPORT=<your MCP_TRANSPORT>" -e "TARANIS_API_URL=<your TARANIS_API_URL>" -e "TARANIS_ACCESS_TOKEN=<your TARANIS_ACCESS_TOKEN>" -e "TARANIS_USERNAME=<your TARANIS_USERNAME>" -e "TARANIS_PASSWORD=<your TARANIS_PASSWORD>" -- uvx taranis-mcp-server

Replace each placeholder with your own value before saving.

Docker image

claude mcp add taranis-mcp-server -e "MCP_TRANSPORT=<your MCP_TRANSPORT>" -e "TARANIS_API_URL=<your TARANIS_API_URL>" -e "TARANIS_ACCESS_TOKEN=<your TARANIS_ACCESS_TOKEN>" -e "TARANIS_USERNAME=<your TARANIS_USERNAME>" -e "TARANIS_PASSWORD=<your TARANIS_PASSWORD>" -- docker run -i --rm ghcr.io/taranis-ai/taranis-mcp-server:0.1.1

Replace each placeholder with your own value before saving.

Python package (PyPI)

[mcp_servers.taranis-mcp-server]
command = "uvx"
args = ["taranis-mcp-server"]

[mcp_servers.taranis-mcp-server.env]
MCP_TRANSPORT = "<your MCP_TRANSPORT>"
TARANIS_API_URL = "<your TARANIS_API_URL>"
TARANIS_ACCESS_TOKEN = "<your TARANIS_ACCESS_TOKEN>"
TARANIS_USERNAME = "<your TARANIS_USERNAME>"
TARANIS_PASSWORD = "<your TARANIS_PASSWORD>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Docker image

[mcp_servers.taranis-mcp-server]
command = "docker"
args = ["run", "-i", "--rm", "ghcr.io/taranis-ai/taranis-mcp-server:0.1.1"]

[mcp_servers.taranis-mcp-server.env]
MCP_TRANSPORT = "<your MCP_TRANSPORT>"
TARANIS_API_URL = "<your TARANIS_API_URL>"
TARANIS_ACCESS_TOKEN = "<your TARANIS_ACCESS_TOKEN>"
TARANIS_USERNAME = "<your TARANIS_USERNAME>"
TARANIS_PASSWORD = "<your TARANIS_PASSWORD>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "uvx",
      "args": [
        "taranis-mcp-server"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Docker image

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/taranis-ai/taranis-mcp-server:0.1.1"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "uvx",
      "args": [
        "taranis-mcp-server"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Docker image

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/taranis-ai/taranis-mcp-server:0.1.1"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "servers": {
    "taranis-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "taranis-mcp-server"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Docker image

{
  "servers": {
    "taranis-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/taranis-ai/taranis-mcp-server:0.1.1"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "uvx",
      "args": [
        "taranis-mcp-server"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Docker image

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/taranis-ai/taranis-mcp-server:0.1.1"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "uvx",
      "args": [
        "taranis-mcp-server"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

Docker image

{
  "mcpServers": {
    "taranis-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/taranis-ai/taranis-mcp-server:0.1.1"
      ],
      "env": {
        "MCP_TRANSPORT": "<your MCP_TRANSPORT>",
        "TARANIS_API_URL": "<your TARANIS_API_URL>",
        "TARANIS_ACCESS_TOKEN": "<your TARANIS_ACCESS_TOKEN>",
        "TARANIS_USERNAME": "<your TARANIS_USERNAME>",
        "TARANIS_PASSWORD": "<your TARANIS_PASSWORD>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

BADGE

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Markdown

[![MCP Toplist](https://mcptoplist.com/badge/io.github.taranis-ai%2Ftaranis-mcp-server.svg)](https://mcptoplist.com/server/io.github.taranis-ai%2Ftaranis-mcp-server)

HTML

<a href="https://mcptoplist.com/server/io.github.taranis-ai%2Ftaranis-mcp-server"><img src="https://mcptoplist.com/badge/io.github.taranis-ai%2Ftaranis-mcp-server.svg" alt="MCP Toplist: Top 25% of 137,492" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

REGISTRIES

Listed on 2 registries

Glama

Official MCP

ORGANIZATION

taranis-ai

Organization

taranis-ai

Servers in org

Versions across org

VERSIONS

Available versions (1)

Version	Published
0.1.1	Aug 6, 2026

FAQ

Frequently asked questions

Who maintains Taranis AI?: Taranis AI is maintained by taranis-ai, which publishes 1 MCP server (1 total version) tracked on MCP Toplist.
Is Taranis AI listed on the Official MCP Registry?: Yes — Taranis AI is listed on the Official MCP Registry, alongside Glama.
How many versions does Taranis AI have?: MCP Toplist tracks 1 version of Taranis AI, most recently published on Aug 6, 2026.
Where can I find the source code for Taranis AI?: The source code for Taranis AI is hosted at github.com/taranis-ai/taranis-mcp-server.

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