"Examples of DeepSeek-related applications or projects" matching MCP servers:

Exposes each stage of the Champollion MRI-to-sulcal-embedding pipeline as an MCP tool, plus a full-pipeline umbrella tool, letting agents launch stages without shelling out manually. Background jobs are tracked with status, logs, progress polling, cancellation, and preflight checks so runs can be monitored and debugged.

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 natural-language interaction with the full Planday API, including all 125 operations, composed timesheet reporting, staff cost summaries, and safe write access controls.

Provides tools for managing qualitative research knowledge graphs, enabling structured representation of research projects, participants, interviews, observations, codes, themes, and findings.

Enables LLMs to inspect schemas and execute SQL queries on Peaka projects using Peaka's text2SQL capabilities.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Enables collection of patent-related information from PatSnap's API for trend analysis and reporting, providing tools for patent trends, word clouds, innovation wheels, and identification of top inventors, assignees, and litigated patents.

Imports CSV or Excel files into Dynamics 365 Finance & Operations data projects through the Data Management Framework, generating manifests, resolving entity targets and dependency order, and waiting for execution results. Also exports data projects and exposes tools to search the entity catalogue, inspect entity fields, and check execution status.

Enables MCP-capable clients to interact with OpenRefine's HTTP API for creating projects, applying operations, exporting CSV, and deleting projects.

Provides unified interface for Qlik Sense Enterprise APIs through Model Context Protocol, offering 21 tools for managing applications, data, users, and analytics operations.

Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

Provides AI assistants with access to Vega-Lite documentation, visualization examples, and specification validation tools. Enables searching docs, retrieving examples by category, validating JSON specs, and accessing schema information for creating data visualizations.

A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.

Provides a semantic gateway for AI agents to interact with the DataForge Product API, enabling the retrieval of projects, versions, measures, and dimensions. It features automated normalization and file-based caching to streamline access to DataForge metadata through the MCP protocol.

A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files, enabling extraction of data from entire workbooks or specific sheets with results returned in structured JSON format.

Provides AI assistants with versioned guidance for Kedro projects, including notebook conversion and project migration.

Enables generation of various chart types (bar, line, pie, radar, etc.) using QuickChart.io and Chart.js configurations, with options to generate chart URLs or download images locally.

A Model Context Protocol implementation for the CoinMarketCap API that provides standardized access to cryptocurrency market data, exchange information, and blockchain metrics.

Enables AI assistants and other MCP clients to audit and manage Hex workspaces through the Hex API, covering projects, users, data connections, runs, cells, groups, collections, guides, and agent threads.

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.