Overview

The MCP Seq Server allows AI models to seamlessly interact with Seq, a powerful structured log server. This integration enables AI to ingest, query, filter, and analyze application logs in real-time, facilitating advanced monitoring, anomaly detection, and operational intelligence.

Conceptual Server:

This is a conceptual server based on common Seq interactions and the Model Context Protocol.

Key Features

📝

Structured Log Ingestion

Send structured log events to Seq for centralized storage and analysis

🔍

Advanced Log Querying

Execute complex queries against log data using Seq's powerful filtering capabilities

📊

Real-time Analytics

Perform real-time analysis on log streams to identify trends and anomalies

🔔

Alerting & Monitoring

Set up AI-driven alerts based on log patterns and thresholds

Available Tools

Quick Reference

Tool	Purpose	Category
`seq_ingest`	Ingest structured log events	Write
`seq_query`	Query log events with filters	Read
`seq_filter`	Filter log streams based on criteria	Read
`seq_alert`	Create or manage alerts in Seq	Write

Detailed Usage

seq_ingest▶

Ingest a structured log event into Seq.

use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_ingest",
  arguments: {
    level: "Information",
    messageTemplate: "User {UserId} logged in from {IpAddress}",
    properties: {
      UserId: 123,
      IpAddress: "192.168.1.1"
    }
  }
});

Logs are stored with their properties for rich querying.

seq_query▶

Query log events from Seq using a filter expression.

use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_query",
  arguments: {
    filter: "Level == 'Error' and AppName == 'WebApp'",
    count: 10
  }
});

Returns a list of log events matching the filter.

seq_filter▶

Apply a filter to a real-time log stream from Seq.

use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_filter",
  arguments: {
    filter: "Environment == 'Production' and @Level == 'Warning'"
  }
});

Useful for setting up subscriptions or real-time dashboards.

seq_alert▶

Create or manage an alert in Seq based on log conditions.

use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_alert",
  arguments: {
    name: "High Error Rate Alert",
    condition: "count(Level == 'Error') > 10 in 5m",
    notification: {
      type: "email",
      to: "[email protected]"
    }
  }
});

Automate responses to critical log events.

Installation

{
  "mcpServers": {
    "seq": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-seq",
        "http://localhost:5341"
      ]
    }
  }
}

Custom Connection:

Replace http://localhost:5341 with your Seq instance URL.

Common Use Cases

1. Anomaly Detection

Identify unusual patterns in application logs using AI:

// Query for a sudden spike in error logs
use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_query",
  arguments: {
    filter: "Level == 'Error' and Time > '2023-01-01T00:00:00Z' and Time < '2023-01-01T00:05:00Z'",
    count: 100
  }
});

2. Performance Monitoring

Track and analyze application performance metrics from logs:

// Filter for slow API response times
use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_filter",
  arguments: {
    filter: "EventType == 'ApiResponse' and ResponseTime > 1000"
  }
});

3. Security Incident Response

Automate responses to security-related log events:

// Create an alert for failed login attempts
use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_alert",
  arguments: {
    name: "Failed Login Alert",
    condition: "count(EventType == 'LoginFailed') > 5 in 1m",
    notification: {
      type: "webhook",
      url: "https://security-webhook.example.com"
    }
  }
});

4. User Behavior Analytics

Analyze user interactions and journeys through structured logs:

// Query user activity for a specific user
use_mcp_tool({
  server_name: "seq",
  tool_name: "seq_query",
  arguments: {
    filter: "UserId == 456 and EventType == 'PageView'",
    count: 50
  }
});

Connection String Format

The Seq MCP server connects to your Seq instance via its HTTP API endpoint.

Local: http://localhost:5341
Remote: http://your-seq-server.com:5341
With API Key: http://your-seq-server.com:5341?apiKey=YOUR_API_KEY

Elasticsearch MCP Server

Elasticsearch MCP servers enable AI models to interact with Elasticsearch, providing capabilities for searching documents, analyzing indices, and managing clusters.

Development Tools & DevOps MCP Servers

Streamline your development workflow with our Development Tools & DevOps integrations. Connect with version control systems, CI/CD pipelines, container platforms, and more to build, test, and deploy your AI applications faster and more reliably.

SQLite MCP Server

SQLite MCP servers enable AI models to interact with SQLite databases, providing capabilities for structured data operations, SQL queries, and local data management.

Seq MCP Server: Real-time Log Analytics for AI Models