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Allows LLM to interact with Linear's API for project management, including searching, creating, and updating issues.

An unofficial Model Context Protocol server that enables programmatic access to LinkedIn data through tools like user search, company search, profile enrichment, and contact retrieval.

Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.

Self-hosted MCP server that scrapes LinkedIn jobs using your authenticated session cookies, enabling job search and details retrieval without per-run costs.

Enables direct access to LinkedIn through natural conversation, allowing users to search for people, jobs, companies, and groups, as well as view profiles using their existing Chrome browser session.

An MCP server for LinkedIn automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. It leverages Playwright and Browserbase to interact with LinkedIn through an existing authenticated browser session.

A Model Context Protocol implementation that bridges language models with LinkedIn's API, enabling profile access, posting content, searching people, and retrieving company information through standardized tools.

Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.

Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.

lior-ps multi-LLM-cross-check-MCP-server

公开目录未提供摘要。

A simple MCP server that implements a note storage system allowing users to add and summarize notes with customizable detail levels.

Enables AI assistants to extract and read content from PDF documents using Mistral AI's OCR capabilities. Provides intelligent caching and returns clean markdown text for easy integration with AI workflows.

LLM-experimentations

[DOC] Some experimentations with ChatGPT and IGNF APIs (french)

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

LLM Playwright-web-crawler

originally was going to be an mcp server, now it's a stupid soundcloud scraper

Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.

MCP server that allows AI agents to fetch and process llms.txt documentation from various sources. Fetch documentation from any HTTPS URL and automatically convert HTML content to readable markdown.

Enables creation of persistent, compounding knowledge bases using Karpathy's LLM Wiki pattern with LLM-maintained markdown wikis. Supports automated ingestion, cross-referencing, synthesis, and linting of sources as an alternative to traditional RAG systems.

Enables exploration and search of local filesystems using glob pattern matching to find files and grep to search for text patterns within files.

A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.