"How to organize or locate my project file" matching MCP servers:

A cluster of 8 independent MCP servers for intranet automation, enabling file operations, browser automation, data query, and system monitoring through natural language.

Provides unified project context and monitoring capabilities including project health metrics, build diagnostics, Git integration, and infrastructure validation to initialize development sessions with comprehensive project information.

Connects to MES systems for SOP file upload and abnormal report querying via WorkBuddy.

A lightweight MCP server that lets agents send email alerts for notifying humans when scheduled jobs fail, data is missing, or attention is needed.

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 mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

Privacy friendly, cookieless web analytics built MCP-first. "Add analytics to my Next.js app" → an AI agent runs the setup_analytics_for_site tool, picks the right install snippet, edits your layout file, and verifies the script is loading. OAuth onboarding, no API keys to paste.

MCP Server for notify to telegram / weixin

Enables AI agents to check the health of internet infrastructure and specific services, helping diagnose whether issues are local or external.

Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.

Competitive intelligence platform with 24 tools. Monitor competitor pricing, content, positioning, tech stacks, and AI visibility — track how ChatGPT, Claude, and Gemini rank your brand.

Connect AI assistants to Sentry for error tracking, issues, releases, events, and project management through the Model Context Protocol. Provides tools to list organizations, projects, issues, events, releases, teams, and members, as well as get details and update issue status.

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

MCP server for integrating self-hosted Sentry with AI assistants, enabling project and issue listing, issue details with stack traces, and event retrieval.

A single file simple MCP server tracking 11 relevant tautulli metrics.

Enables tracking and analyzing development time through the Wakapi API. Provides tools to retrieve coding statistics, project details, leaderboards, and recent activity logs for productivity insights.

Enables access to SORACOM IoT platform data including Harvest sensor data, file storage, SoraCam camera footage/events, and SIM statistics through authenticated API calls.

A file monitoring server that tracks filesystem events and provides real-time notifications to AI assistants, enabling them to automatically respond to file changes without manual updates.

A minimal MCP server that exposes health-check and server information tools over stdio or HTTP, and can be containerized and deployed to IBM Code Engine.

A comprehensive MCP server providing OpenStack project management and monitoring capabilities with built-in safety controls and single-project scope.