Telivy MCP
An MCP server that connects AI assistants to Telivy's security assessment API, enabling MSPs to perform external surface scans, deep-scan risk assessments, device inventory management, and user exposure analysis for M365 and Google Workspace environments.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Perform external surface scans for security assessment
- Conduct deep-scan risk assessments
- Retrieve device inventory data
- Analyze M365/Google Workspace user exposure
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
ghcr.io/wyre-ai/telivy-mcp:v1.0.1
{
"transport": "stdio",
"identifier": "ghcr.io/wyre-ai/telivy-mcp:v1.0.1",
"registryType": "oci",
"environmentVariables": [
{
"name": "TELIVY_API_KEY",
"format": "string",
"isRequired": true,
"description": "Telivy API key, from Telivy Portal > Account > Integrations"
},
{
"name": "MCP_TRANSPORT",
"format": "string",
"default": "stdio",
"description": "Transport mode for the server. Set to 'stdio' for local CLI use; the image defaults to 'http' for gateway hosting."
},
{
"name": "AUTH_MODE",
"format": "string",
"default": "env",
"description": "Credential source: 'env' reads vars locally, 'gateway' expects header injection from the WYRE MCP Gateway."
},
{
"name": "LOG_LEVEL",
"format": "string",
"default": "info",
"description": "Log verbosity: debug, info, warn, error"
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"telivy-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TELIVY_API_KEY=<YOUR_TELIVY_API_KEY>",
"-e",
"MCP_TRANSPORT=<YOUR_MCP_TRANSPORT>",
"-e",
"AUTH_MODE=<YOUR_AUTH_MODE>",
"-e",
"LOG_LEVEL=<YOUR_LOG_LEVEL>",
"ghcr.io/wyre-ai/telivy-mcp:v1.0.1"
],
"env": {
"TELIVY_API_KEY": "<YOUR_TELIVY_API_KEY>",
"MCP_TRANSPORT": "<YOUR_MCP_TRANSPORT>",
"AUTH_MODE": "<YOUR_AUTH_MODE>",
"LOG_LEVEL": "<YOUR_LOG_LEVEL>"
}
}
}
}Cline
{
"mcpServers": {
"telivy-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TELIVY_API_KEY=<YOUR_TELIVY_API_KEY>",
"-e",
"MCP_TRANSPORT=<YOUR_MCP_TRANSPORT>",
"-e",
"AUTH_MODE=<YOUR_AUTH_MODE>",
"-e",
"LOG_LEVEL=<YOUR_LOG_LEVEL>",
"ghcr.io/wyre-ai/telivy-mcp:v1.0.1"
],
"env": {
"TELIVY_API_KEY": "<YOUR_TELIVY_API_KEY>",
"MCP_TRANSPORT": "<YOUR_MCP_TRANSPORT>",
"AUTH_MODE": "<YOUR_AUTH_MODE>",
"LOG_LEVEL": "<YOUR_LOG_LEVEL>"
}
}
}
}VS Code
{
"servers": {
"telivy-mcp": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TELIVY_API_KEY=<YOUR_TELIVY_API_KEY>",
"-e",
"MCP_TRANSPORT=<YOUR_MCP_TRANSPORT>",
"-e",
"AUTH_MODE=<YOUR_AUTH_MODE>",
"-e",
"LOG_LEVEL=<YOUR_LOG_LEVEL>",
"ghcr.io/wyre-ai/telivy-mcp:v1.0.1"
],
"env": {
"TELIVY_API_KEY": "<YOUR_TELIVY_API_KEY>",
"MCP_TRANSPORT": "<YOUR_MCP_TRANSPORT>",
"AUTH_MODE": "<YOUR_AUTH_MODE>",
"LOG_LEVEL": "<YOUR_LOG_LEVEL>"
}
}
}
}Claude Desktop
{
"mcpServers": {
"telivy-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TELIVY_API_KEY=<YOUR_TELIVY_API_KEY>",
"-e",
"MCP_TRANSPORT=<YOUR_MCP_TRANSPORT>",
"-e",
"AUTH_MODE=<YOUR_AUTH_MODE>",
"-e",
"LOG_LEVEL=<YOUR_LOG_LEVEL>",
"ghcr.io/wyre-ai/telivy-mcp:v1.0.1"
],
"env": {
"TELIVY_API_KEY": "<YOUR_TELIVY_API_KEY>",
"MCP_TRANSPORT": "<YOUR_MCP_TRANSPORT>",
"AUTH_MODE": "<YOUR_AUTH_MODE>",
"LOG_LEVEL": "<YOUR_LOG_LEVEL>"
}
}
}
}Let your agent find its tools
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