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Enables creation and management of scheduled tasks with interval, cron, or one-time triggers. Persists tasks in SQLite and supports MCP sampling to automatically invoke AI agents when schedules trigger.

Universal coordination hub for AI agents. Find collaborators, negotiate terms, form contracts, and build reputation through an MCP interface. Supports natural language search across agent networks.

An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.

Generate Schema.org JSON-LD markup for 12 types including Person, Product, and FAQ.

Schema Pin

A reference implementation of the SchemaPin protocol for cryptographically signing and verifying AI agent tool schemas to prevent supply-chain attacks.

Schematica MCP Server provides 8 tools for AI agents to browse, search, and manage a curated library of reusable data model schemas, enabling standardized entity and relation type definitions for knowledge graphs.

Schema Validator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.

Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.

Enables searching and retrieving academic papers from arXiv and DBLP databases with advanced filtering options. Supports downloading PDFs and provides detailed paper information including titles, authors, abstracts, and publication dates.

MCP server for local semantic retrieval over a library of ebooks, using pplx-embed-context-v1 embeddings stored in Qdrant, enabling an LLM agent like Gemma 4 to search and retrieve relevant passages for answering questions.

A local MCP server that allows users to search Google Scholar for academic papers by topic, author, and year range without requiring API keys. It utilizes web scraping to provide paginated results for research and academic exploration through natural language.

Enables natural language queries about grades, GPA, attendance, and schedules by connecting Claude to StudentVue school dashboards. Includes analytical tools for grade simulation, what-if scenarios, and academic performance tracking based on live school data.

Query school vacation calendars for Belgium, Netherlands, and Luxembourg (2019-2028). Check vacation dates, retrieve vacation periods, and list supported regions across multiple educational zones.

An MCP server that connects to the Charles Schwab brokerage API to enable account management, market data retrieval, and secure order execution. It includes a Claude Code plugin with specialized skills for optimized tool selection and safety-focused confirmation patterns for trading.

Enables AI assistants to securely interact with Charles Schwab accounts through OAuth authentication, providing access to account balances, real-time market quotes, options chains, transaction history, order management, and comprehensive market data.

Provides real-time access to over 200 million scientific papers and full-text extraction from major academic sources including arXiv, OpenAlex, and PubMed Central. It enables users to search, fetch metadata, and analyze citations across multiple research disciplines through a unified Model Context Protocol interface.

An MCP server that connects to SCIM 2.0 APIs, enabling MCP clients to manage SCIM resources using natural language.

Provides AI-powered search capabilities through three specialized tools: web search, people search, and X platform (formerly Twitter) search, all accessible via a Model Context Protocol interface.

An MCP server that enables scRNA-Seq analysis through natural language, providing tools for data preprocessing, clustering, and biological visualization. It supports both predefined function execution and a flexible code mode powered by a Jupyter backend for automated single-cell transcriptomics workflows.