Context-aware MCP server advisor. Tells you what to install for your specific project — and why.
MCP server exposing a deterministic, local knowledge graph over stdio. Zero LLM calls in the bridge; answers are classified as Fact, Inference, or Unknown and persisted in redb (ACID, BLAKE3-hashed).
Integrates Kroger's public API with Claude to allow adding meal plan grocery lists directly to your Kroger cart via natural language.
Landlaw AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
42 developer tools through one MCP install
42 developer tools through one MCP install
Lead Scoring AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
ppt
A centralized employee leave management system that allows users to check leave balances, apply for leave, and view leave history through an OpenAPI interface.
MCP for LinkedHelper
Enables natural language interaction with Lichess chess platform to play games, analyze positions, manage challenges and tournaments, and interact with other players through Claude Desktop.
Enables control of LIFX smart lights through natural language, including power control, color adjustment, lighting effects, and scene management using the LIFX HTTP API.
Lightweight content management system for websites, built for the AI era
Analyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.
Automates the creation and scheduling of LinkedIn posts using MCP server integration, allowing users to manage content and automatically publish to their LinkedIn accounts.
LinkedIn prospection automation — find leads, score (fit+intent+urgency), qualify, personalize messages, run full pipeline, manage sales funnel. 7 MCP tools.
linkedmcp
An MCP server that enables LLMs to evaluate Lisp expressions on a Symbolics Genera machine over TCP. It bridges JSON-RPC requests to the Genera environment to return evaluation results, stdout, and stderr.
Amazon organic ranking MCP server. Run campaigns, track keyword positions, monitor rank movement.
Enables benchmarking of Large Language Model APIs by measuring performance metrics such as generation throughput, prompt throughput, and Time To First Token (TTFT) with configurable concurrency levels and parameters.