"deepseek" matching MCP servers:

A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.

Enables Codex to start the local DeepSeek Harness Web UI, delegate coding tasks into visible sessions, and review workspace changes.

Enables MCP clients to submit prompts through a signed-in DeepSeek browser session, retrieve responses, start new chats, check status, and stop operations, with optional Telegram forwarding.

Enables AI coding agents like Claude Code or Codex to delegate tasks to a DeepSeek Harness subagent with its own context window, providing tools for task delegation, result waiting, continuation, and supervision with sandboxed execution.

Enables agents to search a lightweight catalog, inspect permissions, lazily start trusted MCP servers, and call child tools without keeping all schemas in context. It also loads approved skills on demand and routes third-party additions through a human approval queue.

Allows seamless integration of DeepSeek's language models with MCP-compatible applications like Claude Desktop, supporting features such as model selection, temperature control, and multi-turn conversations with automatic model fallback.

Enables ChatGPT (or any MCP client) to delegate coding tasks to a local Hermes-backed agent with async job management, supporting read-only investigation, implementation, and continuation of sessions via secure MCP tunnel.

Enables Kimi Work and Kimi Code to delegate tasks to existing DeepSeek Harness Desktop workspaces and persistent sessions, including progress checks, steering, cancellation, and recovery.

Exposes DeepSeek as a callable MCP tool, enabling ChatGPT connectors and other MCP clients to invoke it for cross-vendor independent review tasks.

Enables MCP-capable AI harnesses to interact with DeepSeek Web using an authenticated browser session, supporting prompts, deep think, search, image recognition, file attachments, and local SKILL.md injection.

Lets MCP clients like Codex delegate independent sub-tasks to DeepSeek as a sub-agent via a single tool, with optional context, custom system prompts, and configurable model/temperature settings.

MCP server that lets AI agents discover, inspect, install, and run DeepSeek Harness plugins via MCP, bridging the gap between the MCP protocol and Cordis-based plugin bundles.

A Codex MCP server that delegates exploration and implementation tasks to DeepSeek via Claude Agent SDK, supporting subagent types and task persistence.

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.

This MCP server enables Codex to delegate bounded subtasks to DeepSeek Harness through MCP, with persistent JSON mailbox messaging and proactive task initiation via Codex app-server. It provides tools for delegation, message exchange, and task status tracking.

Connects a DOT main chat to an already-running Harness instance so it can submit native tasks with progress, replies, queue controls and verified cancellation, page through original history, run keyword history searches, and discover project files with bounded line/tail reads and literal content search. It also handles native interactions, permission reconciliation and explicitly scoped deployment planning and evidence reads, with stable run/operation IDs and idempotency keys for recovery after timeouts or disconnects.

Adds OrgX MCP tools to a DeepSeek Harness profile and runs a workspace-bound OrgX gateway peer through Harness headless mode.

Enables bidirectional, asynchronous task delegation between Codex and Claude Code, plus optional DeepSeek API consultations, with workspace locking, recursion protection, and bounded permissions.

Delegate tasks from Claude Code to other models (Codex CLI, DeepSeek, OpenRouter, etc.) without leaving the app.

Enables multi-round brainstorming debates between multiple AI models like GPT, DeepSeek, and Ollama to produce synthesized final outputs. Users can orchestrate parallel model interactions where AI agents critique and refine each other's ideas to reach a consolidated conclusion.