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

Supply chain risk scoring for npm, PyPI, and GitHub repos

Free remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp

MITM proxy MCP server that intercepts and verifies AI agent tool calls, detecting fabrication, tracking costs, verifying outcomes, and inferring user satisfaction.

A scheduled MCP server that monitors Auth0 users by periodically collecting summaries, detecting suspicious admins, and auto-blocking them; it provides instant reports via SQLite and exposes tools for on-demand collection and configuration.

Enables monitoring Auth0 users by collecting summaries, storing reports in SQLite, and auto-blocking suspicious admins, all through MCP tools without an LLM.

MCP server for interacting with the ThreatLocker Portal API, enabling querying of computers, applications, policies, audit logs, and more through AI assistants.

Enables real-time tracking of AI task starts and completions with integrated webhook notifications for monitoring activity. It allows users to log progress and send task-related event data to external services via configurable webhook URLs.

Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.

Enables management of Gradle-based Tomcat applications with capabilities for starting, stopping, restarting processes and querying application logs.

Enables AI assistants to perform automated root-cause analysis of slow Apache Spark and Databricks jobs by listing applications, planning and running diagnoses, retrieving stage and SQL plan details, and listing diagnosis rules via read-only MCP tools.

An MCP server that enables AI assistants to manage Dokploy infrastructure (Docker, projects, applications, databases, etc.) through natural language, acting as a universal translator between AI and cloud systems.

Exposes Spark History Server data as tools for AI agents, enabling natural language querying of Spark applications, jobs, stages, and performance metrics.

Enables agents and applications to record, query, verify, and receive hash-chained event provenance over stdio, supporting self-metering and independent audit of autonomous system activity.

Enables auditing and monitoring brand visibility, citations, and competitor share-of-voice across ChatGPT, Perplexity, Claude, Gemini, and DeepSeek from MCP-compatible clients such as Cursor and Claude Desktop.

Enables an AI agent to manage local development environments over MCP by starting, stopping, and restarting applications and processes, reading logs with cursors, and inspecting or freeing listening ports. Exposes a fixed set of id- and port-based tools, so the agent can operate registered processes without running arbitrary commands.

A read-only Windows MCP server that gives AI assistants awareness of the current PC state, including open applications, focus, idle status, and system metrics.

Java diagnostics MCP server for LLM integration with Alibaba Arthas, enabling analysis and diagnosis of Java applications.

Exposes Spark History Server metrics and metadata as tools for LLM-based analysis of Spark applications. It enables deep optimization of Spark jobs by providing access to job summaries, stage details, SQL execution plans, and executor performance.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

Bridges Microsoft Clarity's analytics API with Claude, enabling custom date ranges and page-level filtering on top of Clarity's native limitations.