"Persistent" matching MCP servers:

Provides AI assistants with access to Lumenore's analytics capabilities, enabling natural language queries for data insights, advanced analytics (trends, predictions, correlations, outliers), and real-time data processing with zero persistent storage.

An MCP server that enables real-time data streaming for AI agents, with persistent connections to live feeds, reactive operator pipelines, and consumption via push, pull, or block modes.

Provides an isolated MCP gateway for SynapXnet AIOps, DataOps, and MLOps evidence-to-remediation workflows, with OAuth validation, scoped tool discovery, persistent approvals, and audit tracking.

Provides persistent, versioned JSON transformation solutions with lineage and evidence retrieval, enabling users to resolve structured problems via query, contribute new solutions, and verify reuse.

A minimal MCP server that provides a persistent DuckDB SQL engine to AI assistants, enabling natural-language querying of CSVs, Parquet, and cloud data with 12 tools and optional read-only mode.

Local-first Taiwan market evidence workbench for AI agents with persistent Watchlists, governed MCP, auditable evidence, and explicit execute-once retrieval. GitHub Repository URL

Enables complete StreamSets Control Hub integration through conversational AI, allowing users to manage data pipelines, monitor jobs, and interactively build new pipelines with 44 tools across 9 StreamSets services. Features persistent pipeline builder sessions that let users create complete ETL workflows through natural language conversations.