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

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

Per-unit cost of 13 back-office tasks done by a person vs by software, in the US, Greece and Ukraine, with an official statistic behind every hourly wage. Bundled data, works offline.

Enables AI agents to perform web search, page fetching, and multi-source research via the official search and fetch API, with deduplication, content limits, caching, and rate limiting.

An MCP server that lets AI clients search and retrieve Doctor of Credit articles, categories, and deals via flexible tools, interpreting article content at request time.

Enables local stdio access to DeepSeek Search/Fetch for web search, page extraction, bounded site discovery, code context, and asynchronous SQLite-backed research with secure credential storage.

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

Enables AI agents to search and retrieve historical Spanish Call of Duty gaming community posts, with free search previews and pay-per-page citation-ready access via x402.

An MCP server that gives text-only LLMs like DeepSeek vision capabilities by OCRing images, PDFs, Office documents, and text files into pure text. It provides tools like read_document and ocr_image to enable file analysis.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.

Enables deep, recursive multi-source scientific literature research across 8+ academic databases, producing cited, evidence-graded reports with red-team review and cost details through an outline-first, user-confirmed workflow.

AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.

Enables monitoring influencer brand share of voice and creator mention sentiment using Meltwater data, delivering deterministic structured output for MCP-compatible clients.

A scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

Enables agents to run image A/B preference tests with human participants, retrieve live pricing and availability, create and purchase studies within configured USDC spending limits, and check vote results.

Access to the new Open English Translation of the Bible with both a Readers' Version and a Literal Version

Customer lists of B2B software: every company using a technology (HubSpot, Stripe, Zendesk and 4,000+ more), with the evidence and date for each detection, and the new customers every week. Hosted remote server at https://mcp.useagentdata.com/mcp; it connects with your AgentData account (sign in, or paste an API key). Website: https://useagentdata.com

Company data from the official French and European registers for AI agents: company search, French company profiles, KYB files, sanctions screening on 6 official lists, default-risk score, supplier and e-invoicing checks, plus 19 other European registers. Pay per call by API key (150 free calls a month with an account) or x402 in USDC or EURC on Base. Signed responses, source of every block.

Provides evidence-grounded paper reading, citation verification, and reproducible experiment planning through DeepSeek Harness via a deterministic Python stdio server.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.