"How to Retrieve Console Logs" matching MCP servers:

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server for Google Search Console API, enabling search performance analysis, URL inspection, sitemap management, and property listing. Supports local, self-hosted, and Cloudflare Workers deployments.

Enables read-only access to Google Search Console data, including property discovery, search analytics queries, and URL inspection, through a security-focused interface.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

Logs deductible driving trips, manages effective-dated mileage rates, computes per-category summaries, and exports CSV for accountants, all locally with no network calls.

Enables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.

Enables agents to inspect and drive Electron or Chrome/Chromium apps via the Chrome DevTools Protocol, exposing DOM snapshots, console logs, network requests, and gated interactions like clicking, typing, and navigating.

Connects AI assistants to a site owner's search performance data, letting them ask in plain language about clicks, queries, pages, indexing and sitemaps and get back structured results. Runs locally with your own credentials, read-only by default, and validates requests up front so the API's silent empty-result and terse-error quirks are caught before they mislead.

Enables AI agents to query and analyze Google Search Console data, including search analytics, URL inspection, sitemaps, and property verification, and to perform actions like submitting sitemaps and adding properties through natural language.

Connects Google Search Console to AI assistants, enabling natural language analysis of SEO data. Provides read-only tools for properties, search analytics, URL inspection, and sitemaps.

Enables natural-language access to search performance, keywords, indexing status, and sitemaps, with optional write operations for websites and sitemaps.

Enables MCP clients to query Google Search Console search performance, inspect indexing, analyze sitemaps, and run SEO analyses such as cannibalisation detection, query clustering, and wins/losses, all with read-only access.

Connects Google Search Console to MCP-compatible AI assistants so users can analyze search analytics, compare time periods, inspect URLs for indexing issues, and manage sitemaps through natural-language conversations. Supports OAuth or service-account authentication against their own GSC properties.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables AI assistants to convert raw and cooked weights for meat and poultry by cut and cooking method from USDA data, calculate how much raw meat to buy for cooked servings, and look up cooking yields and sample ranges.

Query Google Search Console search analytics, inspect URL indexing status, manage sitemaps, and analyze keyword performance. 13 tools covering search queries, page performance, sitemap management, and index coverage.

Enables AI agents like Claude Code, ChatGPT and Cursor to work inside a user's own signed-in Google Search Console account, requesting indexing, submitting URL removals, checking which pages are indexed, and reviewing removal request status. It runs as a real MCP server over stdio or as a hosted connector, forwarding tool calls so no Google Search Console API key or code is needed.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Enables AI assistants to analyze Google Search Console SEO data through natural language, including search analytics, URL inspection, sitemap management, and property management.

Multi-account Google Search Console MCP server enabling AI assistants to query multiple GSC accounts by name in a single session, with support for OAuth and service accounts.

A small, read-only Model Context Protocol server that gives Claude, Cursor, Claude Code and any other MCP client access to Google Search Console: search analytics, period comparisons, sitemaps and URL inspection. Built and used daily by Walma AI to run our own SEO through Claude Code. There is a longer write-up in our guide: Google Search Console MCP. Why service-account auth: no personal Google

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

MCP server for Python JSON logs

A Model Context Protocol server that bridges design and development by giving AI assistants complete access to Figma for extraction, creation, debugging, and bidirectional token sync.

An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.

Connects Google Search Console with Claude AI to enable SEO professionals to analyze their SEO data through natural language conversations, providing access to property information, search analytics, URL inspection, and sitemap management.

Enables AI assistants to read and write Figma designs, manage design tokens and variables, create components and FigJam boards, and run accessibility and design-code parity checks through a bidirectional Figma integration.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.