"Session" matching MCP servers:

Provides a stateful local Spark session for running PySpark and SQL cells, enabling local data exploration before deploying to Microsoft Fabric.

Enables an AI assistant to query and browse multiple database engines read-only, with the ability to switch connections and engines dynamically during a session.

Enables automatic conversation summarization by typing -sun command, which analyzes the current chat session and saves structured summaries as .mdc files with key insights, outcomes, and next steps.

Enables read-only access to Board models through an authenticated Firefox session, listing models, entities, and cubes with their metadata without exposing data editing or API credentials.

Enables interaction with Apache Flink clusters via the SQL Gateway, allowing query execution, session management, and job control through MCP tools.

An agent-agnostic MCP server that lets any AI agent drive a local JupyterLab session via the Model Context Protocol.

Enables anonymization and deanonymization of sensitive data in text using Microsoft Presidio. Supports session-based storage to reversibly replace sensitive information like passwords and secrets with placeholder tokens.

Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.

The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, and expiring share links; available on npm (@artifacta-mcp/mcp) and PyPI (artifacta-mcp).

An enterprise-grade data analysis system that enables users to discover data sources, configure analyses, and execute workflows through Claude Desktop. It features intelligent caching, session isolation, and secure JWT authentication for streamlined multi-user data orchestration.

Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.

Exposes a self-hosted SQLite master of a user's complete Last.fm listening history over Streamable HTTP with OAuth 2.1, so ChatGPT or Claude can answer questions about any date range without hitting the Last.fm API. Provides 32 tools covering recent plays, period rankings, range comparisons, artist listening intensity, session segmentation, and shifts in taste over time.