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A Model Context Protocol server that enables AI assistants to interact with Linear project management systems, allowing users to retrieve, create, and update issues, projects, and teams through natural language.

A comprehensive Model Context Protocol server that enables AI assistants to interact with LinkedIn APIs for profile management, content creation, networking, messaging, and analytics.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.

Ace tech and finance job interviews with Linkjob AI, your best AI interview assistant for real-time live coaching & AI mock practice

URL reality check for AI agents — returns HTTP status, SHA-256 content hash, classification, readability score, title, and wayback-machine fallback when dead, cached 10 minutes at $0.001 per call.

Local-first cross-agent memory MCP. 6-layer structured brain (goal/context/emotion/impl/caveat/learning) with token-saving file diff cache (86% measured savings on re-reads)

Exposes a local biomedical literature pipeline as MCP tools for automated research workflows. Enables literature search, open-access paper retrieval, and draft generation for biomedical and pathology domains through standard MCP clients.

LLM to MCP integration engine

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

Enables AI assistants to intelligently search and explore local file systems using native Unix commands (ripgrep, find, ls) with token-optimized output, automatic pagination, and multi-layer security validation.

A 100% local development monitoring tool that captures browser console logs, network requests, and backend server output for analysis by AI assistants via MCP. It enables LLMs to debug applications by providing structured, real-time access to full-stack log data and persistent local storage.

A Multi-Agent Conversation Protocol Server that provides access to Google's Local Services API, enabling interaction with local service businesses information through natural language commands.

A privacy-first memory layer that pseudonymizes sensitive data locally before sharing a 'Working-Fiction' version with external AI agents. It enables secure agentic workflows by ensuring personally identifiable information never leaves the user's sovereign hardware.

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.

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.

A Model Context Protocol server that enables image generation and retrieval from picsum.photos with customizable parameters like dimensions, filters, and output formats.

Verify AI agent communication with session types and formal proofs. 4 tools: parse protocols, verify messages, check safety properties, browse 20 stdlib templates.

Enables restaurant reservation management and schedule checking through Supabase with multi-tenant support. Designed for WhatsApp and phone agents to verify opening hours, create reservations with automatic table assignment, and handle multiple restaurants from a single server.

lunar-mcp is a Go-based MCP server that provides 28+ tools for Chinese traditional calendar, fortune telling, and divination. It enables AI agents to integrate Chinese cultural computations into their workflows.

An MCP server providing full integration with the Lunch Money API to manage financial data including transactions, budgets, assets, and categories. It enables AI assistants to perform CRUD operations on financial records through a standardized HTTP interface.

MCP server that gives AI agents full control over grocery lists, todos, and packing lists. Your AI creates lists, adds items, checks them off, and shares with family/friends.