"Exploring Memory Persistence in DeepSeek Technology" matching MCP servers:

MCP server for configuring the konsol Frappe app via the CLI. Enables AI clients to manage dimensions, measures, fact tables, connectors, and schemas using natural language.

Enables querying and exploring Cribl Stream and Edge deployments, providing access to worker groups, fleets, sources, destinations, pipelines, routes, event breakers, and lookups through a structured interface.

MCP server for multi-tenant DuckDB management with R2/S3 cloud storage, enabling AI agents to manage per-user databases with automatic cloud persistence.

A server that connects to PostgreSQL databases and provides tools for safely exploring schemas, running read-only SQL queries, and performing data analysis with pre-built templates.

Enables MCP clients to inspect, validate, transform, and query CityJSON models, with support for conversion, persistence, and 3D geometry validation.

Enables AI applications to integrate with Tableau through tools, resources, and prompts for querying data, exploring content, and retrieving visualizations from Tableau workbooks and datasources.

Enables LLMs to interact with Dremio data platforms for querying, analyzing data patterns, and exploring metadata through natural language, with support for both local and production Kubernetes deployments.

Enables DeepSeek Harness models to directly call local ArcGIS Pro via MCP tools for reading projects, layers, GDB structures, and executing Buffer/Clip/custom ArcPy operations locally.

Enables AI applications to integrate with Tableau through developer primitives including tools, resources and prompts. Supports querying data from datasources, exploring content like workbooks and views, and retrieving visualizations using the Tableau REST API.

Enables reading, writing, appending, and creating Google Sheets spreadsheets through MCP tools, with support for exploring spreadsheet structure and creating new sheets.

Enables DeepSeek Harness to run bounded archive operations—diagnose, status, sync, and verify—against a local macOS chat database with integrity and privacy protections.

Aggregates job listings from multiple ATS and job board APIs via MCP, enabling unified search and retrieval in a structured format without HTML parsing.

An experimental multimodal AI data infrastructure that allows users to manage tables, run local AI analysis like object detection, and automate data workflows. It includes an interactive Python REPL and introspection tools for exploring Pixeltable functions directly through Claude or Cursor.

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.

A local MCP server enabling AI assistants to query and analyze data via DuckDB SQL engine, supporting local files, memory, S3, and MotherDuck.

A local, keyless MCP server simulating Forge's industrial telemetry kernel, enabling agents to normalize vendor-specific machine data, forecast breaches, and test integrations against realistic equipment data without credentials or persistence.

A versatile tool that enables querying and exporting data from multiple relational databases (MySQL, PostgreSQL, Oracle, SQLite, etc.) in read-only mode for data safety.

Deterministic bank-statement parsing for AI agents: messy CSV/OFX exports to clean, categorized ledger rows. In-memory only, no storage, no external calls, no LLM in the loop.

Enables executing SQL queries, exploring database schemas, and exporting results from Redash via MCP, with ad-hoc queries and write protection.

Enables AI agents to query Microsoft Copilot Studio telemetry and governance data in plain English, pulling from multiple Azure and M365 APIs into a local SQLite database.