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A Model Context Protocol server that enables access to Omi memories from a specific user account through a tool interface.

A Model Context Protocol server that enables AI assistants to access and query 200+ database types through existing DBeaver connections without additional configuration.

A multi-model task management system that enables intelligent task creation, decomposition, status tracking, and dependency management through natural language, with support for integration into editors via MCP protocol and connection to various professional task management systems.

MCP server for the Omnivox platform used by Quebec CEGEPs. Enables AI agents to access course schedules, grades, MIO messages, evaluations, and documents from Omnivox-based institutions.

Enables AI assistants to extract and document Mendix Studio Pro modules by interrogating local .mpr files. Generates comprehensive JSON documentation of domain models, pages, microflows, and enumerations without sending data to the cloud.

Connects AI agents to OPC UA-enabled industrial systems for real-time monitoring and control of operational data. It enables users to read, write, and browse industrial device nodes through natural language interactions.

Exposes OpenAPI specifications as MCP tools, enabling AI assistants to explore and understand API structures, endpoints, schemas, and documentation through semantic queries.

Exposes OpenBB widget specifications as structured tools, enabling developers and AI assistants to programmatically query widget types, parameters, and configuration examples for building OpenBB applications.

Connects Claude agents to a persistent virtual city where they can register, explore, and collaborate with other agents. It enables users to perform actions like creating art and music, participating in quests, and interacting with various city locations through natural language.

MCP server for AI agent deployment health — gateway status, CPU/memory/swap, recent errors from journalctl/dmesg, skill registry integrity, upgrade outcomes, cron + disk usage. Each component gets HEALTHY/DEGRADED/CRITICAL classification with overall rollup.

Production-ready MCP server for Greenhouse ATS with 175 tools for recruiting teams — manage candidates, applications, jobs, interviews, and hiring pipelines. Role-based profiles (full/recruiter/read-only), composite workflow tools for pipeline views, analytics, candidate search, and bulk operations.

On-device documentation search for agents

Enables AI agents to traverse SysML v2 model graphs, query requirements, and perform impact analysis for model-based systems engineering. It allows agents to interact with plain-text models to automate documentation and refine system architectures.

Unmodified government company data from 27 registries, live. Cross-border UBO chain walker for AI agents. 60+ tools covering GB, IE, NO, FR, DE, NL, PL, BE, CH, LI, MC, IM, IS, CY, AU, NZ, CA, TW, HK, MY, FI, CZ, ES, IT, KR, US — raw upstream fields preserved, no LLM extraction.

Connects Claude to OpenReview to facilitate conference reviewer and area chair workflows through the Model Context Protocol. It enables users to manage paper assignments, read submissions and reviews, and perform write actions like submitting reviews or comments using a preview-and-confirm system.

Exposes over 300 Operaton BPM REST operations as tools for AI agents to interact with the Operaton engine. It enables managing process deployments, instances, user tasks, and decision tables through natural language commands.

Enables AI assistants to search and filter youth opportunities such as scholarships, fellowships, internships, conferences, and exchange programs, aggregated from multiple live sources.

17 decision intelligence algorithms as MCP tools for AI agents. Bandits (UCB1, Thompson), LP/MIP solver (HiGHS), Monte Carlo simulation, Bayesian inference, graph analytics (PageRank, Louvain), genetic algorithms, CMA-ES, anomaly detection, time series forecasting, and more. All under 25ms, deterministic, zero LLM cost.

Enables AI agents to interact with OrcaSlicer to manage profiles, adjust printing settings, and perform slicing operations. It allows users to search settings, slice STL/3MF files, and analyze G-code metadata through natural language assistants.

Implements a structured communication bus that allows AI agents to send 'oracle calls' to human operators for resolving complex decisions or judgment calls. It facilitates hierarchical message passing between agents and humans using a file-based request/response system with interaction history archiving.