"namespace:91.174.133.8" matching MCP servers:

Enables read-only Kubernetes cluster inspection through MCP, with namespace allow/deny and resource block policies enforced before any API call.

Enables AI agents to inspect and operate a Kubernetes cluster safely, with read-only mode and namespace allowlist for mutations.

Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.

Enables driving Omniverse Kit apps (Isaac Sim, Isaac Lab) over MCP, allowing agents to control simulations, run Python, and call namespace-scoped tools via a single bridge.

Enables interactive Python execution with a persistent IPython kernel through MCP, retaining namespace state and providing structured output logs for agent and tool integrations.

Enables interaction with Moorcheh AI services including namespace management, document embedding, vector search, and AI-powered answers through the Model Context Protocol.

Provides a secure, sandboxed interface for LLM agents to interact with HPC clusters via bubblewrap isolation, managing workspaces and executing commands locally or through Slurm.

Enables LLM and AI-agent clients to operate a Nacos 3.0 control plane through MCP tools, resources, and prompts—covering configuration publishing, rollback, history and drift checks, namespace management, service discovery, instance registration/weighting, and cluster health probing. It supports stdio and SSE transports with Docker deployment, self-healing authentication, and syntax guardrails suited to asymmetric NAT environments.

Enables a single MCP server for interacting with multiple vector databases through pluggable backends, starting with Pinecone. It supports schema-aware index management, upserts, hybrid search, embeddings, TTL conventions, and namespace operations.