MCP Server for Log Analysis
Give an AI the ability to investigate the live logs that already exist across your server estate — fast, selectively and under the permissions of the user asking the question.
The evidence is already there. The problem is finding it.
Complex failures rarely announce themselves in one neat log file. A transaction may pass through several applications, services and servers, leaving useful clues in different folders and different formats. By the time someone knows which file matters, the incident has already consumed hours.
The MCP Server for Log Analysis gives AI a search-and-read surface over those live files. Configure the servers and folders that matter, then let the AI narrow the evidence, inspect relevant lines and follow clues across the estate instead of loading whole logs into a conversation.
- Any number of configured target servers.
- Any number of folders on each target.
- Any number of large log files within those locations.
- Search first, read only the evidence that matters.
- Designed for current, changing logs as well as historical ones.
- With Steward, every protected log access can remain bound to the identity and existing permissions of the user who made the request.
Ask questions that cross files, folders and servers
Follow one business event
Search for a document number, request ID, user, host, error text or other clue and follow it wherever it appears.
Compare before and after
Inspect the lines around a failure, then compare nearby activity in related logs to build a more complete incident timeline.
Work with ugly real-world logs
Troubleshooting should not depend on every application agreeing on one timestamp layout, line format or logging convention.
Large logs belong behind a search tool, not inside the prompt
An AI does not become more useful because it is handed gigabytes of text. Useful investigation is iterative: find the likely evidence, inspect the surrounding context, form the next question, then search again.
The server is optimised for that pattern. It gives the AI efficient ways to locate and retrieve relevant evidence from large files while keeping the amount of text returned to the model proportionate to the question.
No central log platform required
You may already have Datadog, Splunk, Grafana, Elastic or another observability platform, in which case it may remain the right source for many investigations. This server is not intended to replace those systems.
It solves a different problem: valuable logs that already exist as files across ordinary servers, especially when they are large, short-lived, application-specific, expensive to ingest centrally, or needed only when something goes wrong. AI can investigate them where they are instead of waiting for a separate collection project.
Copilot can investigate the logs without becoming the reader
When used through Steward, the person asking Copilot or another approved AI client to investigate a problem remains the person who accesses the protected log files. Their identity is not replaced with a gateway or shared service account at the target.
Alice made the Copilot request; Alice reads the files. Copilot helps her search, correlate and interpret the evidence, but it does not acquire a separate blanket entitlement to every log the server can reach.
That is particularly useful for logs containing operational, customer, financial or security-sensitive information: troubleshooting can become dramatically easier without creating a broad “read everything” identity simply for the convenience of AI.
The sort of investigation an agent can perform
- “Find every occurrence of this transaction ID across the application servers and show me where the first error appears.”
- “What changed in the ten minutes before this service stopped responding?”
- “Search the relevant logs for this user and explain the sequence that led to the failure.”
- “Find matching errors on the other servers and tell me whether this is isolated or systemic.”
- “Look for the same exception over the last set of logs and identify the common events immediately before it.”
Background reading
Have logs spread across an estate?
Describe the servers, folders and troubleshooting questions that consume the most time. We can show how the MCP search-and-read pattern fits without requiring a pricing commitment.