"namespace:91.174.133.8" matching MCP servers:

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

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.

Industry 4.0 / IIoT AI agents for manufacturing: explain OEE losses per shift, triage machine alarms, find downtime root causes, prepare predictive-maintenance jobs and write shift reports from Unified Namespace (UNS), MQTT or historian data. Plus an industrial AI-readiness diagnostic and a vendor-neutral digital-transformation advisor. Works in Claude Code, Codex and any MCP client.

Connects Claude Desktop to a RAGBrain knowledge base to enable semantic search, document retrieval, and namespace management. It allows users to browse collections, discover documents by topic, and access full text content through natural language.

Enables AI agents to securely read and write SAP ABAP development objects via the ADT REST API, enforcing policy-based guardrails such as package/namespace allow-lists, read-only mode, human approvals, and audit logging.

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 coding agents to store, search, update, and delete durable facts, preferences, decisions, and plans in a shared local SQLite database, along with per-namespace profile get/set and stats. Uses offline lexical FTS5 search so multiple agents working on the same project can share one memory store.

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

Enables MCP clients to store, recall, correct, and forget knowledge with per-sentence source bindings and a replayable retrieval traceId, so every answer can be traced to a specific document passage. Adds document-level version chains that retire superseded content from default retrieval, tombstone-based forgetting, three-layer user/namespace/scope isolation with full operation auditing, and deterministic calculator/date tools.

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 comprehensive management of AWS S3 Tables including table bucket, namespace, table CRUD, metadata, maintenance, and data import operations through natural language.

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

Enables access to Yuque (语雀) documentation through cookie-based authentication, supporting document retrieval, search, TOC navigation, and content management from knowledge bases via URL or namespace.

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.

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

Exposes ABLESTACK MOLD API through MCP tools with the mold_\* namespace, enabling direct CloudStack API calls, exploration, and debugging. Supports automatic API registration, async polling, parameter expansion, and signature debugging for comprehensive cloud infrastructure management.

A temporary placeholder MCP server that reserves the @bikefuchs namespace and exposes an informational tool about the upcoming Bikefuchs production server for bike price comparison.

MCP server providing Celestia network intelligence, including daily briefs, anomaly signals, staking and DA metrics, and live namespace and validator drill-downs, with each figure linked to its source.