"Server compatibility with ChatGPT or DeepSeek" matching MCP servers:

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 local coding agents to delegate reasoning, planning, review, derivation, and diagnosis tasks to ChatGPT Web through Chrome DevTools Protocol, with security guards and evidence-based verification.

A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.

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.

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.

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 AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

MCP Bridge is a local-first Linux/Windows desktop app connecting ChatGPT to approved files and Chrome through authorized OpenAI tunnels, with optional shell tools. The Glama-hosted v0.1.0 release is a restricted READ-ONLY documentation demo: five tools can access only bundled public examples, not your computer, browser, credentials, shell, or files.

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

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