"deepseek" matching MCP servers:

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.

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.

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.

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.

Enables DeepSeek Harness agents to access DeepBrain's judgment store, including quoting verified lines, retrieving historical positions, and reusing analysis methods.

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

Provides advanced OCR capabilities with multiple state-of-the-art backends (DeepSeek-OCR, Florence-2, DOTS.OCR, PP-OCRv5), supporting document processing, scanner integration, and multi-format output with layout preservation.

Provides read-only access to Chinese A-share stock market data such as quotes, K-lines, financials, capital flows, news, and research reports via a stdio MCP server for DeepSeek Harness and other MCP clients.

Provides access to over 500 pre-configured YAML templates and guided workflows for fine-tuning, training, and evaluating LLMs like Llama and DeepSeek. It enables AI assistants to search for recipes, retrieve configurations, and validate parameters for various machine learning tasks.

Enables formatting whole OriginLab Origin projects into a fixed thesis or journal house style from inside DeepSeek Harness. It applies per-layer grid layouts, unified fonts, render-measured axis-title placement, overlap resolution, panel labels, and 600-dpi export with corrected dpi metadata, while leaving original files untouched.

AI-powered deep research agent with multi-source search (DuckDuckGo, Google News, Reddit, Wikipedia), structured analysis (SWOT, comparisons, timelines, Google Trends), financial data with charts, and PDF report generation. 11 MCP tools. Multi-LLM support (DeepSeek, Gemini, GLM, OpenAI).

Enables indexing and searching a local library of electrical-engineering PDFs by topic and intent, re-reading cited physical pages for verification, incrementally syncing directories, and producing OpenAlex-based daily literature digests as local Markdown reports with traceable sources.

A persistent MCP-to-ACP bridge that lets a Codex-led controller delegate research tasks to DeepSeek Harness for derivation, computation, and file work, while recording tasks, sessions, routing, and result evidence. It supports idempotent tasks, clarification follow-ups, session resume, model routing, and bounded recovery, with approvals relayed back to the controller.

Enables running the same prompt(s) across roughly 300 models from Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, Qwen and others, then comparing per-model outputs, latency, token usage, error rates and billed cost side by side. Supports free cost estimates before launching, asynchronous run creation with status polling and cancellation, prepaid x402 credit top-ups, and an optional AI-written comparison summary of the results.