"Files formatted in JSON" matching MCP servers:

Production-grade MCP Gateway in Go featuring dynamic OpenAPI tool registration, RBAC governance, in-flight PII/DLP redaction, and structured JSON audit logging.

MCP server for Python JSON logs

Enables querying and formatting Loki logs from Grafana via the Model Context Protocol. It supports LogQL queries, label retrieval, and provides results in text, JSON, or markdown formats.

The Wireshark for the Model Context Protocol (Reticle) intercepts, visualises, and profiles MCP JSON-RPC traffic in real time — designed for microsecond-level overhead.

Provides tools to search, query, and visualize Prometheus metrics, returning results in JSON format for AI analysis.

Enables an LLM client to scan Windows event log files (EVTX) for suspicious activity using Hayabusa, and browse its detection rules directly in conversation.

Enables AI agents to debug RxJS 7 streams in the browser through Chrome DevTools MCP by tagging observables and querying subscription graphs, live values, and buffered logs as structured JSON.

Enables uploading PyPTO swimlane files and querying task durations and dependencies for performance analysis with swimlane diagrams in Codex.

A Model Context Protocol server that provides comprehensive tools for monitoring and identifying performance bottlenecks in Logstash instances through an interactive web UI and JSON-RPC interface.

Wireshark MCP server for Windows that enables AI agents to capture live packets, analyze pcap files, apply display filters, reassemble TCP/UDP streams, generate statistics, and export packets or protocol objects.

MCP server to start, monitor, search, and detect errors in logs from any project, even those without log files.

Enables secure analysis of log files by listing, summarizing, and searching for error patterns, with defenses against path traversal, symlink attacks, and data leakage.

Analyzes log files using AI-powered tools to detect errors, patterns, and anomalies through natural language queries in Cursor IDE.

MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).

MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.

Enables read-only triage of Microsoft Entra ID sign-in and audit logs through fixed tools for sign-in failure analysis, user lookup, directory audits, and daily briefs.

A read-only MCP server that exposes local coding-agent session logs as three tools for introspection of recent work, debugging tool failures, and tracking token usage and estimated cost without parsing log files.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

Enables AI assistants to search, summarize, and inspect Kibana/OpenSearch Dashboards logs through the user's logged-in browser session, eliminating the need for API keys or service accounts.