"General information or resources about art" matching MCP servers:

Enables agents to monitor token/usage limits and persist work checkpoints, allowing them to pause, resume, and track progress across sessions.

Presents multiple stdio backend tool servers to an MCP client as one aggregated server, sharing those backend processes across concurrent agent sessions through a background broker while namespacing and routing each tool call to the right backend. Servers can be run shared, per-session, or lazily, with automatic restart and request ID remapping so many sessions coexist without collisions.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets. Provides tools for searching, browsing categories, and accessing detailed information about each asset.

MCP server that lets Claude Code delegate heavy tasks (file analysis, deep search, web lookups, adversarial review, and general delegation) to the Antigravity CLI (agy), with model routing, session continuity, timeout controls, and quota-aware failover.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Enables selecting a saved Codex or Claude Code session from the same PC and importing its recent context into the other tool, so work can continue across clients with source and omission information.

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.

Enables Claude Code and Gemini CLI to see your macOS screen, answering questions about the file, error, UI, database table, or web page you're looking at. Captures screenshots, reads database schemas, and controls Chrome/Brave, presenting answers as on-screen highlights or spoken bubbles above your cursor.

Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

A server that implements the Model Completion Protocol (MCP) to allow LLMs to interact with Databricks resources including clusters, jobs, notebooks, and SQL execution through natural language.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables deploying applications and managing cloud resources in Timeweb Cloud through natural language.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

A Model Context Protocol server that provides Coze resources and tools for managing workspaces, bots, and conversations.

Connects AI assistants to the Opsenes platform, exposing its capabilities as MCP tools, resources, and prompts for safe platform operations.

Delivers the LXAgents shared agent instruction set via MCP prompts and resources. It includes read-only tools for setting up and checking agent instructions in repositories.