"deepseek" matching MCP servers:

Enables integration of DeepSeek's language models with MCP-compatible applications, offering features like chat completion, custom model selection, and parameter control for enhancing language-based interactions.

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.

Bridges Claude Desktop, Cursor, and Codex to the official DeepSeek Harness over ACP, letting the client's main model submit bounded, time-limited coding tasks for DeepSeek Flash to execute in a configured local workspace while handling permissions, cancellation, and status polling.

Certification lookup for DeepSeek Harness plugins: an agent-facing interface to the dsh-plugin-certification registry, checking a plugin's five reproducible dimensions (manifest compliance, build hygiene, supply-chain Scorecard, release provenance, sandboxed install smoke) before recommending or installing it.

Universal Git-powered persistent memory, context rules & native MCP server for AI coding agents. Prevents context amnesia with stateful workflows, Git Notes, and cross-model review gates across Claude, OpenAI, Gemini & DeepSeek in Cursor, Claude Code & VS Code.

Ask 200+ AI models (Claude, GPT, Gemini, Llama, DeepSeek, Qwen) privately from any MCP client via Obscurify AI zero-data-retention routes. Tools: ask, chat, second_opinion (one prompt to 2-5 models side by side), list_models (prices, context, plan), generate_image and balance.

Delegates coding tasks to the locally installed DeepSeek Harness CLI, enabling MCP clients to run prompts through dsh and receive results with exit code and timing.

Adds a local-first memory MCP server: long-term memory is stored as plain Markdown/JSONL files in a user-chosen directory (MEMORY_DIR) and can be shared by multiple MCP clients (Cherry Studio, Claude Desktop, DeepSeek Harness). * No database, no vector store, no network calls * Four tools: memory_read / memory_update / memory_append / memory_search * Shrink-protection + backup before overwrite *

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 MCP clients like Claude Code and Cursor to use multiple AI models (Gemini, GPT, Grok, DeepSeek, Kimi, Ollama) via a unified chat tool with conversation memory.

Hand tasks from Claude Code, Codex or any MCP client to a local DeepSeek Harness, watch the run live, and get the result back when it is done.

Enables local Laya-MLX typed decisions (classification, scoring, risk routing, and yes/no) for coding agents like Codex, Claude Code, DeepSeek Harness, and Pi via MCP, running entirely on Apple Silicon Macs.

Search local AI-agent conversation history by file or exact phrase, and recall original source turns. Four read-only stdio tools for Claude Code, Codex, DeepSeek Harness, Pi and ThoughtDAG history; source sessions are never modified.

Exposes 120+ Chinese frontier AI models (DeepSeek, Qwen, GLM, Kimi, Seedance, MiniMax, Hunyuan, CogVideoX) as MCP tools via one OpenAI-compatible endpoint: chat, image generation, free-model list, and a live first-party price leaderboard. Zero platform fee.

Evidence-governed coding agent memory and knowledge lifecycle MCP server for DeepSeek Harness (DSH), OpenAI Codex, and Google Antigravity. Provides local SQLite FTS5 + semantic hybrid retrieval, automatic session/compaction checkpointing, counter-example demotion, and a hard 1,200-char context budget guardrail with zero third-party Python dependencies.

Adversarial multi-model reasoning verification for AI agents. Claude, Grok, and DeepSeek challenge each decision — returns ALLOW or HOLD with JWKS-signed attestation. x402-gated on Base.

Gives DeepSeek Harness sessions persistent memory that survives restarts, exposing 52 tools for writing, recalling, compressing, and graphing memories alongside session summarization and code-change archaeology. Enables users to retain facts and context in an isolated personal namespace so later sessions can recall them automatically within a token budget.

Enables Codex and DeepSeek Harness to maintain a local, traceable record of current task intent, separating requirements, evidence, unknowns, and disagreements while preserving corrections without erasing history.

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.

MCP bridge enabling ChatGPT to create, view, and control DeepSeek Harness agent sessions, with session management, messaging, and approval tools.