Log Line Key-Value Parser Connector for AI agents.
3 live capabilities
Turn unstructured log text into structured data
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Why people use Log Line Key-Value Parser
Stop writing regex with Log Line Key-Value Parser
With this MCP, that cycle disappears. You just hand the raw text to your agent, and it hands you back a clean, structured object. You get the data you need without ever having to think about capture groups or lookahead assertions again.
What Vinkius changes
You stop writing regex and start querying logs.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Debugging a sudden spike in 500 errors
An SRE feeds raw Nginx logs to their agent, which uses the parser to extract status codes and identify the specific endpoints failing.
- Real-world use case 02
Automating log ingestion pipelines
A DevOps engineer uses the parser to turn raw Syslog streams into structured JSON for easier storage in a database.
- Real-world use case 03
Security incident investigation
A security analyst uses the capability to pull specific IP addresses and timestamps from access logs to trace an unauthorized login attempt.
Complete set · 3capabilities
The complete Log Line Key-Value Parser capability set.
These are the exact actions your AI can choose when you ask it to work with Log Line Key-Value Parser.
01—03
3 capabilities in this set.
Part of 3 available through Log Line Key-Value Parser.
- 01 Capability
Get field metadata
Retrieve specific details about a field, such as its value and data type. This helps your agent understand the structure of the parsed data.
- 02 Capability
Identify format
Determine the specific log type from a raw string. It quickly tells you if you're looking at Syslog, Nginx, or another common format.
- 03 Capability
Parse log line
Transform a raw log string into a structured format with character offsets. It extracts all key-value pairs for immediate use.
Set up in minutes
One URL. Then ask Log Line Key-Value Parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Log Line Key-Value Parser from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_wHZrgucNBviYmGtJo3PboF5lBRn5sxDoWvH093F1/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Log Line Key-Value Parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Log Line Key-Value Parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_wHZrgucNBviYmGtJo3PboF5lBRn5sxDoWvH093F1/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Log Line Key-Value Parser URL.
- Step 03
Save and start
Save the connection and enable Log Line Key-Value Parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"log-line-key-value-parser": {
"url": "https://edge.vinkius.com/vk_preview_wHZrgucNBviYmGtJo3PboF5lBRn5sxDoWvH093F1/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Log Line Key-Value Parser
Open Agent mode in chat and ask: "Using Log Line Key-Value Parser, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"log-line-key-value-parser": {
"url": "https://edge.vinkius.com/vk_preview_wHZrgucNBviYmGtJo3PboF5lBRn5sxDoWvH093F1/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Log Line Key-Value Parser
Ask Copilot: "Using Log Line Key-Value Parser, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"log-line-key-value-parser": {
"url": "https://edge.vinkius.com/vk_preview_wHZrgucNBviYmGtJo3PboF5lBRn5sxDoWvH093F1/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Log Line Key-Value Parser
Open Cascade and ask: "Using Log Line Key-Value Parser, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"log-line-key-value-parser": {
"url": "https://edge.vinkius.com/vk_preview_wHZrgucNBviYmGtJo3PboF5lBRn5sxDoWvH093F1/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Log Line Key-Value Parser
Ask Cline: "Using Log Line Key-Value Parser, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add log-line-key-value-parser --transport http "https://edge.vinkius.com/vk_preview_wHZrgucNBviYmGtJo3PboF5lBRn5sxDoWvH093F1/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Log Line Key-Value Parser
Ask Claude: "Using Log Line Key-Value Parser, show me...". 3 tools are ready
Where the request belongs
Work Log Line Key-Value Parser can move forward.
This is for the engineers and SREs who spend too much time squinting at terminal outputs and trying to write perfect regular expressions to make sense of system events.
Site Reliability Engineer
Analyzing massive log streams to find the needle in the haystack during an incident.
DevOps Engineer
Automating the ingestion of system logs into monitoring capabilities or databases.
Backend Developer
Debugging application errors by extracting specific error codes and timestamps from server logs.
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Bring your own AI
Change the model, client or framework. Keep Log Line Key-Value Parser connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
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Before you connect
Questions about Log Line Key-Value Parser.
The practical details behind the request, access and result.
How can the Log Line Key-Value Parser MCP help me debug server errors?
It converts raw, messy error logs into structured JSON. This allows your agent to quickly identify error codes, timestamps, and specific failing services without you writing any regex.
Can I use Log Line Key-Value Parser MCP with my existing AI client?
Yes. You can connect this MCP to any compatible client like Claude, Cursor, or Windsurf to start parsing logs immediately.
Does the Log Line Key-Value Parser MCP support Nginx and Apache logs?
Yes, it is designed to recognize and parse common log formats including Syslog, Apache access logs, and Nginx access logs automatically.
Will the Log Line Key-Value Parser MCP tell me where a value is in a string?
Yes. It provides exact character offsets (start and end positions) for every field it extracts, which is useful for precise data mapping.
Is it easy to set up the Log Line Key-Value Parser MCP?
It is very straightforward. Once connected via Vinkius, your agent can immediately begin interpreting log lines using the available parsing capabilities.
What log formats are supported?
The server supports Syslog, Apache access logs, Nginx access logs, and generic key-value patterns.
How do I get the position of a specific field?
Use the get_field_metadata capability after running parse_log_line to retrieve the exact start and end character offsets.
Can it handle unknown log formats?
Yes, if a format is not recognized, the capability attempts to extract generic key-value pairs from the string.
One connection away
Give your agent a direct line to Log Line Key-Value Parser.
Connect Log Line Key-Value Parser once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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