"A multifunctional research MCP server for a deep researcher subagent" matching MCP servers:

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

An MCP server that allows a planning agent to delegate tasks to executor agents (e.g., Claude Code, Aider) with bi-directional communication and real-time log streaming.

Enables Codex to use Grok Build CLI as a controlled subagent via MCP tools for independent investigation, review, and isolated implementation tasks.

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.

MCP server that launches and supervises coding-CLI subagents (claude, opencode) in detached tmux windows, collapsing the ceremony of starting a TUI coding assistant into a single tool call.

Exposes the local Claude Code CLI as a subagent for Codex, enabling background review and implementation jobs with two fixed permission tiers.

Enables MCP hosts to delegate coding tasks to Pi CLI as a programmable sub-agent with session tracking and process management.

Enables Claude Code to delegate tasks to Google Antigravity (Gemini) as an autonomous subagent, including codebase exploration, architecture analysis, multi-file code generation, and technical Q&A, without requiring external API keys.

A local MCP server that enables Codex and other MCP clients to orchestrate native external coding-agent harnesses through a normalized lifecycle, with guarded execution and deterministic testing.

Enables delegating coding tasks to isolated Claude Code subprocesses billed against a GLM Coding Plan, with tools to delegate, await, continue, list, cancel, and inspect runs.

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.

Lets Claude Code delegate bounded coding tasks to a GLM model as a sub-agent through a single MCP tool that reads, writes, edits, lists directories, and runs shell commands inside a specified project folder. Each run returns only a short report with changed files and token usage, keeping GLM's intermediate tool traffic out of Claude's context.

Enables Codex to delegate review and implementation tasks to the local Qoder CN CLI as background jobs, with two permission tiers and polling-based status updates.

A stdio MCP server that lets Codex Desktop/CLI delegate implementation tasks to Claude Code CLI with workspace validation, Git status checks, and session resume capabilities.

Exposes pi as a sub-agent for MCP-capable coding assistants, enabling task dispatch, messaging, and interactive dialog handling via tools like pi_dispatch, pi_send, and pi_respond.

Enables Claude Code to delegate coding tasks—investigation, review, long-running background jobs, and optional file edits—to a locally installed OpenAI Codex CLI, with the model and reasoning effort chosen per task and read-only execution by default. Follow-up requests reuse Codex's existing context, and write-enabled delegations can be confined to a managed git worktree so the user's own checkout stays untouched.

Enables Codex to delegate tasks to interactive Claude Code sessions as role-controlled subagents for exploration, code review, and implementation, using the existing Claude Code installation on macOS.

An MCP server that uses Google Antigravity subagents as parallel workers for coding agents, enabling efficient task delegation with compact results.

Enables Codex to delegate coding tasks to a persistent DeepSeek Harness agent that can read repositories, edit files, and run tests, while letting users follow up, monitor progress, and interrupt the work.

Enables MCP clients to drive local Codex on a target Git repository: inspect repo state, start and follow up on tasks, review events and diffs, and record audit evidence for research governance.