"Nx" matching MCP servers:

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

A high-performance Go-based MCP server that provides a microservice architecture for orchestrating diverse tools through gRPC and HTTP/REST APIs. Enables seamless integration of language-agnostic tools including ML capabilities, web search, calculations, and human interaction for intelligent agent workflows.

Enables Claude to control Opera GX by adjusting GX Control limiters, sidebar, tab bar settings, themes, presets, and managing tabs and pages.

QLN is a semantic tool router that enables AI agents to access thousands of tools through a single MCP interface, with sub-5ms search and automatic fallback.

Takes a plain-language automation goal and returns a recommended tool stack, command, validation checks, recovery guidance, and a machine-readable package contract for agents and builders.

Enables AI agents to securely retrieve pre-compiled bounded context and memory state over a zero-network Unix Domain Socket, ensuring tenant isolation and sub-millisecond rehydration in Kubernetes environments.

Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.

A hub that serves multiple MCP servers from a single container over HTTPS, with OAuth 2.1 authentication and path-based routing.

Authenticates with Databricks via OAuth and exposes remote MCP tools from Databricks applications, enabling interaction with Databricks-hosted tools through Claude.

Enables low-latency, structured browser automation through a local MCP server, supporting safe navigation, observation, table extraction, and verified clicks on Windows with a dedicated Edge profile.

Enables AI tools to remotely control a hosted headless Chromium browser over HTTP to navigate, click, type, and extract structured page content through the Model Context Protocol.

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

Enables orchestration of multiple Jules AI workers for tasks like code generation, bug fixing, and review using the Google Jules API. It features git integration, a shared memory system, and real-time activity monitoring for complex, multi-agent development workflows.

X adapter for SurfAgent that gives AI agents X-native verbs for navigation, extraction, posting, replies, likes, reposts, proof-first task execution, recovery, and deeper research workflows.

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

Standalone MCP server exposing only the security-classified tools from Shade Browser, enabling Brave CDP browser automation across 20 isolated profile slots. Built on FastMCP and Playwright Python.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Enables an agent to drive Claude Code and Antigravity (agy) sessions as controlled subagents — listing, spawning, messaging, interrupting, waiting on, and stopping them, including fan-out of several at once. It also provides a locked, fsynced bridge so separate agents can exchange messages.

An execution state machine MCP server that manages YAML-defined plans, enabling step-by-step execution with state tracking and token optimization.

This server enables Temporal Workflows and other MCP clients to call tools implemented as Temporal Nexus operations, and to proxy upstream MCP servers so every upstream call runs in a standalone Temporal activity.