"Searching for information about DeepSeek" matching MCP servers:

Local MCP server that provides DeepSeek-powered code review, file analysis, and consultation tools for coding agents, enabling read-only analysis with minimal token overhead.

An MCP server that grants image recognition to text-only models like DeepSeek by forwarding images to vision models and returning text descriptions. Supports clipboard, pasted session images, and batch folder image recognition.

Bridges MCP clients to the DeepSeek API for chat completions and model discovery, with an optional locked-down bridge that delegates prompts to local CLI harnesses like Claude, Codex, or opencode.

MCP server that enables Claude Code to delegate tasks to DeepSeek and other LLMs, offering 20 tools for code review, analysis, testing, and code generation.

Enables Claude Code to delegate bulk, read-heavy file analysis to a local DeepSeek Harness agent, keeping file contents out of the conversation context.

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

A local multimodal recognition workbench that uses your Edge/Chrome session to access DeepSeek Web, exposing MCP tools for recognizing images, documents, audio, and video with privacy-preserving temporary processing.

Enables text-only main models to understand images by routing local image files or URLs to a DeepSeek vision model and returning the textual analysis. Supports up to 4 images per call for description, comparison, and OCR tasks.

MCP server that packages DeepSeek agents as callable tools, offering a bare model for quick Q&A and a full agent capable of executing real coding and file-modifying tasks in a workspace.

Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just a single LLM call. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) inside a sandboxed workspace.

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 delegating bounded development tasks to a locally installed DSH harness and returns a structured handoff covering file writes, command exit codes, missing checks, blockers, and evidence.

Provides image recognition for text-only LLMs like DeepSeek by bridging to SenseNova multimodal model, enabling image description via the describe_image tool.

This MCP server exposes DeepSeek V4 to Codex as a single tool, enabling GPT Sol to delegate coding subtasks to DeepSeek for cheap execution.

Enables a Codex/GPT conversation to request independent second opinions from DeepSeek through a local stdio MCP tool and receive provider-reported model metadata for response or synthesis.

Provides AI tools for chat, code review, idea evaluation, explanation, summarization, and debugging by automating DeepSeek AI through Playwright.

Enables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.

Generates or reviews Git unified diffs via DeepSeek API with local path validation, enabling secure patch suggestions without scanning repositories.

Enables Codex to delegate separable work to DeepSeek Flash/Pro agents through start, continue, status, and cancel tools, while Codex retains tool execution, authorization, and final verification.

Enables supervised PowerShell execution on Windows, allowing the DeepSeek agent to run local commands and manage files safely through a single tool.

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.

Enables querying DeepSeek-Flash with configurable chain-of-thought effort and running autonomous code tasks that plan a spec, edit files, run tests, and self-review the resulting diff. Also provides adversarial code auditing, API health and latency checks, plus workspace, command-blacklist, and Git branch safety guardrails.

MCP server that gives text-only LLMs vision capabilities by using a free multimodal model to perceive images, audio, and video, returning text for the main model to reason with.

Lets any MCP-capable AI coding harness route code reviews and codebase questions through DeepSeek's web chat, exposing review, ask, and status tools with read-only repository access by default.

A local HTTP proxy and MCP server that translates 'developer' role messages to 'system' for DeepSeek API, enabling Android Studio AI plugins to work without errors.

Provides tools to check DeepSeek account balance, list available models, and estimate costs from token usage, without proxying API calls.

Enables local AI agents to access DeepSeek V4 models and perform coding tasks via Pi's agent SDK.

Enables MCP clients to ask questions and continue conversations with DeepSeek's web interface, with Expert mode and DeepThink reasoning enabled, without needing an official API key.

An MCP server that integrates DeepSeek's web-native multimodal vision model into Zed, featuring automatic browser login and image analysis tools. It enables vision-powered tasks like image understanding and multi-turn conversations directly within the editor.

This MCP server gives pure-text LLM agents vision capabilities by integrating the free GLM-4.6V-Flash visual model, enabling image, video, and file understanding through standard MCP tools.