"Files formatted in JSON" matching MCP servers:

Enables Claude to retrieve and analyze Google Analytics 4 data through 20+ analysis tools, providing insights on traffic, user behavior, conversions, and engagement metrics in Japanese-formatted output.

MCP server for Python JSON logs

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

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.

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

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.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

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).

Provides read-only access to daily trading figures for multi-site restaurant groups, detecting anomalies in control blocks such as void rates and labor percentages to uncover subtle financial leaks.

A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.

A read-only kubectl MCP server for AI assistants. The kubectl verb is hardcoded in each tool (get/describe/logs/events) and user input only fills argument values — no mutation path even with malicious input, and Secret/ConfigMap values are never returned (metadata only). Returns structured JSON, plus one-shot k8s_triage (health scan) and k8s_inventory (cluster snapshot).

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.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

MCP server that exposes a single tool to retrieve ChatGPT/Codex quota via the signed-in Codex CLI, reporting rate-limit windows and usage percentages.

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.

Tamper-evident audit logging for AI decisions. Three tools (record_decision, verify_decision, list_decisions) write to a regulator-grade ledger built on AWS S3 Object Lock with 7-year retention. Designed for EU AI Act Article 12 and FCA SS1/23 evidence requirements. Try zero-config: npx audit-ledger-mcp boots in sandbox mode against a public hosted tenant.

DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for

MCP server that transforms raw log query results into structured incident reports (Markdown, JSON, HTML) with correlation to git commits and tickets.

Laravel Telescope-style debugging for Hono apps whose dashboard endpoint is also an MCP server: read recent exceptions with the request that produced them, recent requests filtered by status or duration, one request in full, and the slowest queries. Five read-only tools, zero runtime dependencies.