"How to Retrieve Console Logs" matching MCP servers:

Read Layerdock website feedback in your coding agent. Each pin comes with the CSS selector, screenshot, page URL and the console and network trace captured when the client reported it. Fix the bug, reply on the thread and mark it resolved without leaving the editor. Works with Claude Code, Cursor, Codex CLI, Windsurf, VS Code, Zed and Antigravity.

Feedback collection for AI agents. Create surveys from JSON schema, collect responses from groups of people, and retrieve structured results.

Enables AI assistants to search and retrieve verified software comparisons, including current pricing with source and date, and ranked alternatives for software switching decisions.

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.

MCP server for Tracetify — trace how any product actually grew, without leaving Claude Code or Cursor.

Enables AI agents to query real-time SaaS pricing tiers, compare developer tools side-by-side, and retrieve recent product changelogs.

Enables AI assistants to retrieve a Wildberries seller's product cards and customer reviews through the official Content and Feedbacks APIs.

Enables agents to create and drive instrumented Design Thinking sessions, inspect the append-only journal, and retrieve dossiers and handoff specs through MCP tools and resources.

Run real user interviews from AI agents and retrieve structured insights with themes and verbatim quotes.

Connects AI coding tools to an Atono workspace, offering 41 tools to read and write stories, bugs, epics, subtasks, acceptance criteria, timeboxes, glossary, and AI context so agents work with real product knowledge.

Enables MCP clients to search and retrieve product management articles, talks, podcasts, related content, live events, and job listings from Mind the Product through read-only tools and resources.

Enables coding agents to admit and retrieve evidence-backed software spin-off assessments, inspect linked supporting artifacts, and export saved decision reports without rerunning research.

Enables AI agents to read-only access business intelligence in a Revinho workspace, combining Google Analytics 4, Stripe, and optionally Google Search Console to answer questions about changes, performance, revenue, underperformance, and opportunities.

Public MCP server for agent-created, human-friendly, short-lived surveys. Enables agents to ask structured questions and retrieve answers.

An MCP server that exposes Google Play Console analytics to AI agents, including store-listing acquisitions by traffic source, installs, uninstalls, ratings, crashes, subscriptions, and reviews by reading bulk CSV reports from Cloud Storage.

Enables AI orchestrators to manage hierarchical implementation roadmaps with phases, tasks, and plan-change tracking.

Enables AI coding clients to turn code into a linked product specification and run coherence, coverage, and impact checks to surface gaps and contradictions.

Enables AI agents to query Mixpanel event data, funnel conversion rates, and retention cohorts via MCP tools or natural language.

Enables retrieval of App Store and Google Play reviews, ratings summaries, and ASO keyword rankings for any app using its store ID or package name.

MCP server for noise-reduced X (Twitter) search planning and Feedback-to-Fix engineering handoffs. Enables AI agents to generate structured search plans, filter signals, and build handoff packages via MCP tools.

Enables AI agents to guide users through pretotyping, turning raw ideas into Lean Canvases, testable hypotheses, and small experiments to validate demand before building.

Enables AI agents to run a full QFD session over the Model Context Protocol: build and edit a House of Quality (stakeholder needs, measurable characteristics, relationship cells, trade-off roof, work items), validate it, and read back priorities, gates, the diagonal build order and item progress. It also exports the house as TSV, CSV, JSON, SVG or an Excel workbook, with optional file persistence so a person can keep editing where the agent left off.

Enables AI assistants to manage projects, tickets, tags, and relative weight prioritization calculations, with revision history and multi-project support.

Enables AI agents to create local web forms with unlimited brainstorming questions and retrieve user answers as JSON, including support for file uploads.

Provides MCP tools for AI agents to create and read decision decks, propose cards and build plans, and retrieve finished tasks, enabling local decision review workflows with portable task handoffs.

An MCP server that provides a drag-and-drop UI for prioritizing list items, allowing users to reorder items interactively and send the prioritized list back to the chat. It supports MCP Apps UI rendering and falls back to text instructions for hosts without UI support.

Enables querying PostHog analytics data by fetching recent events, searching user profiles, and listing saved insights over MCP.

It exposes a public, authenticated, allowlisted MCP surface for AgentSam Brand and Campaign capabilities, enabling compatible hosts to retrieve brand context, inspect assets, draft and evaluate brand/campaign artifacts, rank concepts, plan, and save authorized records while avoiding private operator control-plane access.

Enables agentic co-authoring of feature specs, decomposition into architecture-validated tickets, and idempotent syncing to Linear as projects with epics, sub-issues, and dependencies.

Bridges MCP clients to the hosted AppNiche service, enabling agents to search live App Store and Google Play data, retrieve app details, historical metrics, listing-change timelines and reviews, and score keywords for difficulty and opportunity. It forwards calls upstream without maintaining a local app catalogue, with optional authentication using the caller’s AppNiche API key.