"File reading, writing, searching, analysis and interpretation" matching MCP servers:

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Collects page performance metrics using Playwright, CDP, and Lighthouse, and returns a normalized PerformanceReport.

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

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.

Enables interaction with Jira Service Management Operations alerts and on-call schedules, including searching alerts, reading notes and activity logs, acknowledging, closing, annotating, adding responders, and querying current and next on-call rotations.

MCP server for inspecting IBM Liberty/WebSphere application servers over SSH, enabling reading sanitized configs, performing health checks, and searching logs remotely.

MCP server for log file analysis. Gives LLMs the ability to efficiently analyze large log files without loading them into context.

MCP server for reading, filtering, and analyzing NVIDIA Nsight Graphics captures via ngfx-replay, exposing tools for capture inspection, GPU Trace profiling, and replay analysis.

Enables log analysis, searching, counting, and system metrics retrieval (CPU, memory, disk) via natural language, using 5 tools that can be integrated with Claude Code.

A log analysis MCP server that enables tailing, searching, filtering, and summarizing logs from local files and Docker containers.

MCP server for reading and searching SAP Commerce Cloud (CCV2) logs stored in Azure Blob Storage, enabling log listing, retrieval, and regex search via MCP tools.

Enables AI assistants to interact with tshark and related command-line tools for live packet capture, PCAP analysis, filtering, stream following, and capture file merging.

Enables log analysis through MCP tools for searching logs, retrieving error contexts, and summarizing incidents with self-verified root-cause hypotheses.

Read-only MCP server for exploring and searching OpenSearch clusters, enabling log analysis, index exploration, and query execution.

Enables remote log searching, tailing, and file reading across servers via MCP tools, with pluggable execution via SSH, pyinfra, or local commands.

Provides AI assistants with direct access to Wireshark network analysis capabilities, enabling live packet capture, PCAP file analysis, protocol statistics, and network monitoring through a secure MCP interface.

Provides read-only access to host system metrics (CPU, memory, disk), Docker container health/logs, and sandboxed log file analysis via MCP tools, enabling AI agents to monitor enterprise infrastructure safely.

Provides seamless access to Kibana and Periscope logs through a unified API with KQL and SQL querying, AI-powered log analysis, and support for searching across 1.3+ billion logs in 9 indexes.

Handles log file management and analysis with tools to list, read, search, filter, and generate analytics on log files.