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Enables AI assistants to automatically inspect and analyze application runtime log files for debugging and troubleshooting. Supports monitoring multiple log directories simultaneously with tools for listing, reading, searching, and paginating through log files.

An MCP server for intelligent logo extraction and processing, supporting automatic recognition and extraction of logo icons from website URLs, and providing image processing and vector conversion functions.

MCP Tool Server for Logo Generation. This server provides logo generation capabilities using FAL AI, with tools for image generation, background removal, and image scaling.

AI logo design MCP server — generates SVG logos with text-to-path conversion, SVG optimization, and full brand kit export (favicon, social media sizes, color palette). 4 tools: text_to_path, optimize_svg, export_brand_kit, image_to_svg.

An intelligent website logo extraction system built on the Model Context Protocol (MCP) that automatically identifies and extracts logo icons from websites.

Enables reading and analyzing Cloudflare Workers logpush data stored in R2 buckets. Supports searching logs with filters, viewing statistics, accessing errors, and browsing logs by date and environment.

An MCP server that provides AI assistants with direct access to application logs for on-demand searching, filtering, and analysis. It enables tools like Cursor to summarize log entries and identify errors within the development environment to streamline debugging.

Query CrowdStrike Falcon LogScale logs from AI assistants via the Model Context Protocol.

Enables AI assistants like Claude to directly read, write, search, and navigate your local Logseq knowledge graph, including managing journals, pages, backlinks, and page relationships without manual copy-pasting.

Connects AI assistants to Logseq knowledge graphs to read, write, and search pages, blocks, and journals via the Model Context Protocol. It features 17 tools for full graph management, including CRUD operations, batch block insertion, and full-text search.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

Enables AI assistants to interact with your local Logseq knowledge base through advanced search, content creation, template management, and knowledge organization with privacy-first, local-only operations.

An MCP server that enables users to add translation keys to Lokalise projects using natural language through Cursor or standalone interfaces. It allows for the specification of project names, translation keys, default values, and target platforms.

Search 1000+ local food producers in Norway. Natural language, Norwegian & English. Tools: lokal_search, lokal_discover, lokal_info, lokal_stats

Enables AI models to query and analyze Kubernetes cluster logs through Grafana Loki, supporting semantic operations like error aggregation and pod restart detection. It provides tools for regex-based log searching and namespace discovery to facilitate natural language troubleshooting.

Enables interaction with League of Legends game data through the Riot Games API. Allows users to query player statistics, match history, and game information using natural language.

A FastMCP server that exposes REST API endpoints as Model Context Protocol tools for AI agents. It provides a template for wrapping upstream APIs and includes deployment support for Docker and OpenShift.

An MCP server implementing Recursive Language Models (RLM) to process arbitrarily large contexts through a programmatic probe, recurse, and synthesize loop. It enables LLMs to perform multi-step investigations and evidence-backed extraction across massive file sets without being limited by standard context windows.

Longevity MCP

Bio MCP server that deals with longevity databases (open-genes, genage and so on)