#report

Report on Stagehand and MCP Server

Interact with your crash reporting and real using monitoring data on your Raygun account

An MCP server that checks weekly report submissions in a Google Sheet

mcp-reporter is a streamlined utility that generates comprehensive capability reports for Model Context Protocol servers, empowering developers to easily understand available functionality across their MCP servers ecosystem for both documentation and integration into other tools.

Analyse PowerBI models and reports (.pbix) using AI through this MCP-server implementation of PBIXRay.

TestDino MCP is a Model Context Protocol server that lets AI agents work directly with your Playwright test data, without leaving your editor or opening a browser. Once connected, your AI assistant can browse TestDino runs, inspect failing tests, and manage manual cases using plain language. Ask it to “show the last 5 failed runs in production,” “debug the checkout flow test,” or “list all critical manual test cases in project X,” and it will call the right tools behind the scenes. The server exposes 12 focused tools for CI runs, debugging, and manual test management. You can: Check account health and validate your PAT Filter runs by branch, commit, author, time window, or environment Drill into a single test case, including errors, logs, steps, screenshots, and traces Run debug_testcase to aggregate historical failures, classify patterns, and get AI‑ready prompts for root‑cause analysis and flakiness Create, update, and organize manual test cases and suites (status, severity, tags, layers, behaviors) TestDino MCP is MCP‑compatible and works with clients like Cursor and Claude Desktop. Configure it via mcp.json using either npx testdino-mcp (no install) or a global install (npm install -g testdino-mcp), and provide a TESTDINO_PAT from your TestDino account. Typical use cases include: speeding up Playwright failure triage from within your IDE, giving AI agents structured access to real test history, and keeping manual test management in sync with how your team actually debugs CI.

Model Context Protocol for WinDBG

OpenAI Deep Research MCP Server enables AI assistants to conduct comprehensive, multi-step research through intelligent web search and content synthesis. Transforms complex research queries into structured, citation-backed reports without writing custom search logic. Features iterative exploration, automatic knowledge gap identification, and seamless integration with OpenAI's Deep Research models for scholarly-quality research automation.

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

All-in-one offensive security toolbox with AI agent and MCP architecture. Integrates tools like Nmap, Metasploit, FFUF, SQLMap. Enables pentesting, bug bounty hunting, threat hunting, and reporting. RAG-based responses with local knowledge base support.

Newsbang MCP is a smart media command platform that gives you real-time access to top headlines, intelligent news search, and in-depth reports and analysis — helping you stay informed, spot trends, and seize opportunities.

Este repositorio contiene un agente inteligente construido en n8n que utiliza la arquitectura MCP Server y MCP Client para generar, automatizar y entregar reportes del sistema de punto de venta ComaPOS.

Model Context Protocol (MCP) with TikTok integration

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.