"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 mutating data across multiple sources (CSV, Google Sheets, SQLite, PostgreSQL, MySQL, MongoDB, Oracle) through a dynamic GraphQL API, with flexible filtering, batching, persisted queries, and dynamic source switching.

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

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.

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.

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

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

Enables interaction with live Pokémon data through PokeAPI, providing comprehensive Pokémon information, battle calculations, moveset validation, and team analysis. Supports searching Pokémon and moves, calculating stats, checking type effectiveness, and analyzing team synergies with in-memory caching for improved performance.

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.

Gives AI agents structured, bilingual access to Canadian federal, provincial, and municipal open-data APIs, covering exchange rates, statistics, weather, recalls, drugs, immigration, parliamentary data, geospatial datasets, and local SQLite persistence. It also provides discovery and orchestration tools for searching, planning, and executing cross-API queries.

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.

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.

Enables natural-language interaction with a Databricks Lakehouse, including running SQL on warehouses, tracking and canceling long-running queries, and exploring Unity Catalog metadata via the workspace REST API.

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 clients to run paid technographic domain enrichment, search a shared prospect database with technology filters, manage saved lists, and reconstruct CSV export snapshots through authenticated tools. It supports both API-key stdio and hosted OAuth connections with scoped workspace consent and credit tracking.

Enables an AI assistant to turn a plain-language description into a working Apache NiFi 2.x flow, validate and layout the canvas, run test data, golden-file replays and diagnostics, and commit only verified versions to the NiFi Registry. It exposes 44 read-or-write tools for exploring, building, testing, debugging and releasing flows, staying read-only unless writes are explicitly enabled.

This local stdio adapter lets MCP clients list and run bounded, approved deterministic pipelines for text normalization, keyword filtering, and text statistics. It returns results to the caller without exposing arbitrary code execution, shell access, network requests, or persistence.

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.

Connects AI coding assistants like Claude Code, Cursor, and Windsurf to enterprise data sources (databases, files, APIs, etc.) via a single binary, with 45+ connector categories and built-in memory tools.

A server that enables LLMs to detect anomalies in sensor data by providing tools for data retrieval, analysis, visualization, and corrective action execution.

Enables users to list, create, and update agencies and codelists in a Fusion Metadata Registry through MCP tools served over Streamable HTTP.

Enables interaction with Databricks for running SQL queries, managing clusters, triggering jobs, running notebooks, exploring Unity Catalog metadata, managing secrets, and interacting with DBFS.