"How to Retrieve Console Logs" matching MCP servers:

Records masked browser sessions (rrweb DOM + console + network) to a local SQLite store and exposes them to AI coding agents via stdio MCP. Fully local, no SaaS, no telemetry.

Enables AI agents to interact with Kubernetes clusters through progressive disclosure, where agents discover TypeScript modules via filesystem, write and execute code, and receive summarized console output for cluster management tasks.

Isolated, long-lived Chrome sessions for AI agents over MCP — full console + network capture, anti-bot stealth, and human login takeover.

MCP gateway/proxy: multiplexes tool calls across upstream MCP servers into one aggregated, namespaced catalog and logs every call. Local, single-user, $0/month by default.

Enables AI agents to automate browsers through Playwright behind multi-layer safety guards, restricting navigation to allowed domains, defaulting to read-only actions, and recording all behavior in audit logs.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables measuring the cost of completed agent workflows from runtime session logs and submitting results to the AMI survey.

Enables routing tasks to the right specialist agents, assembling the needed context from a layered catalog of agents, skills, knowledge, runbooks, topics, tools, and connectors, while remembering how a business wants work done.

Enables AI agents to control Chrome reliably over MCP, including multi-tab browsing, forms, clicks, keyboard, scrolling, drag, uploads, downloads, dialogs, JavaScript evaluation, and console/network inspection, in headed or headless mode or attached to an existing Chrome instance.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

A universal interface that enables AI Agents to communicate with Hologres databases, allowing them to retrieve database metadata and execute SQL operations.

A set of tools for working with Omilia Cloud Platform that helps manage miniapps, orchestrator apps, and dialog logs through an MCP server.

Enables agents to search the Kognai LAX registry for agents, retrieve offers and jobs, list jobs, and submit job submissions over stdio or Streamable HTTP.

Extends chrome-devtools-mcp with a reach tool that uses Jev to navigate the browser to a desired page state, so you can then inspect console, network, snapshots, or screenshots with a single devtools call.

Local-first multi-agent delegation and approval control for Codex via MCP, with persistent task DAG, isolated worktrees, and a web console.

A Model Context Protocol server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

A Model Context Protocol (MCP) server that demonstrates how to build and implement custom tools for Claude using the mcp-framework.

A bridge allowing Claude Desktop to access Telegram chats and messages via the Model Context Protocol, providing read-only capabilities to retrieve dialogs and messages from Telegram.

TypeScript implementation of the Model Context Protocol that standardizes how LLMs connect to data sources and tools, eliminating vendor lock-in and simplifying AI integration.

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

A Model Context Protocol server that connects your personal WhatsApp account to AI agents like Claude, enabling them to search messages, view contacts, retrieve chat history, and send messages via WhatsApp.

A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.

Enables AI assistants and terminals to control a user's already logged-in Chrome session, allowing them to navigate pages, read content, click and type, run JavaScript, and inspect console or network activity.

Enables AI agents to coordinate atomic distributed transactions across a swarm through a prepare/vote phase, unanimous commit-or-abort consensus, quorum validation, and failure recovery. It also layers in vector-clock causal stamping, LWW CRDT reconciliation, and gossip dissemination so multi-node state converges deterministically without external dependencies.

Measures and improves how findable, readable, and usable a website is to AI answer engines and autonomous AI agents through hosted AEO audit tools.