Enables robots to store, retrieve, and consolidate episodic experiences including physical parameters, trajectories, and outcomes. It supports hybrid vector search with structured filtering and spatial sorting to help robotic agents learn from past successes and failures.
Enables AI assistants to interact with Rockfish's machine learning platform through comprehensive API access. Supports managing databases, worker sets, workflows, models, projects, and datasets for ML operations.
MCP server for integrating with Roistat marketing analytics platform, enabling AI agents to analyze statistics, manage leads, track calls and channels.
Enables AI agents to develop, test, and certify Roku applications by providing direct control over device functions like app deployment, remote input, and SceneGraph inspection. It supports automated workflows including real-time log collection, media monitoring, and certification verification.
A Model Context Protocol server that enables role-based context management for AI agents, allowing users to establish specific instructions, maintain partitioned memory, and adapt tone for different agent roles in their system.
Enables AI assistants and agents to evaluate and improve their responses using Root Signals quality evaluators for criteria like clarity, relevance, and faithfulness. Supports standard evaluations, RAG assessments, and coding policy adherence checks.
Self-evolving AI Agent framework — search, compare, and install Genes ranked by Arena fitness via MCP
Enables AI assistants to interact with MikroTik RouterOS devices through API and SSH connections, supporting network monitoring, configuration management, and diagnostics across multiple routers with automatic connection fallback.
A model routing advisor for autonomous agents — get cost-optimised LLM recommendations via MCP.
RR MCP Server for AI agents for .NET Analysis
A proof-of-concept server that enables LLM agents to interact with RSpace API endpoints using the Model Context Protocol, allowing AI assistants to access and manipulate research data in RSpace.
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Zero-config graph DB for builders, AI agents, and SaaS teams who move fast
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An MCP server that exposes Firefox browser automation capabilities through the Model Context Protocol, enabling AI assistants to control web browsers for navigation, interaction, and data collection tasks.
Execute, debug, and visualize RxJS streams directly from AI assistants like Claude.
Enables AI assistants to interact with Rytnow project management platform, supporting task management, time tracking, plan creation, and team collaboration through natural language commands.
Enables interaction with S2 StreamStore to manage basins, access tokens, and data streams through a progressive tool disclosure workflow. It allows AI agents to efficiently navigate between account management, basin configuration, and stream-level operations like reading or writing records.
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Native Safari browser automation for AI agents. 80 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chrome DevTools MCP with 40-60% less CPU/heat on Apple Silicon.
