A Model Context Protocol (MCP) server that enables AI assistants to efficiently filter and analyze Cloud Platform logs by specific prefixes and patterns.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add --transport http logs-sieve https://cloud-logsift.run.tools~/.codex/config.toml
[mcp_servers.logs-sieve]
url = "https://cloud-logsift.run.tools"
# codex mcp add logs-sieve --url https://cloud-logsift.run.tools~/.cursor/mcp.json
{
"mcpServers": {
"logs-sieve": {
"url": "https://cloud-logsift.run.tools"
}
}
}.vscode/mcp.json
{
"servers": {
"logs-sieve": {
"type": "http",
"url": "https://cloud-logsift.run.tools"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"logs-sieve": {
"httpUrl": "https://cloud-logsift.run.tools"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"logs-sieve": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://cloud-logsift.run.tools"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"logs-sieve": {
"url": "https://cloud-logsift.run.tools"
}
}
}