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Control and monitor overseer.nvim tasks from MCP coding agents in Neovim.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "overseer-nvim-mcp" yet — see the docs or source repo.
List all current tasks in overseer.nvim and mark which are running and which have finished.
A task list with run states, so I can quickly understand the current development workload.
Start the frontend development server in overseer.nvim and keep showing the latest log output.
A task is created and run with tailing logs, instead of spawning an invisible background process.
Find the most recently failed build task and restart it; if it is still running, stop it first and then start it again.
The target task is identified and controlled with stop/restart actions to restore the development flow.
When using Claude Code, Codex, or another MCP agent inside Neovim, developers can let the agent inspect, start, and stop overseer.nvim tasks directly. This gives the agent the same visibility and control over local development tasks as the user.
When an agent starts a local development server, the process lands in the user's task list instead of becoming an invisible orphaned process. The user can then keep viewing logs and controlling it from overseer.nvim.
For build, test, or service tasks, users can have the MCP tool perform tail, restart, and stop actions through the agent. It fits development workflows where task status must be inspected and recovered quickly.
It is an MCP server for overseer.nvim. It lets MCP coding agents running inside Neovim list, run, tail, restart, and stop tasks.
A known prerequisite is using overseer.nvim inside Neovim together with an MCP-capable coding agent. The description mentions Claude Code, Codex, Gemini CLI, and opencode.
It places agent-started development services into the user's own task list. That means they do not become invisible orphaned processes, and the user can still inspect and control them.
Orchestrate multiple AI agent CLIs for complex collaborative tasks with shared memory.
Let AI control Neovim sessions for coding, diagnostics, and terminal workflows.
Let AI navigate, inspect, and edit code through Neovim tooling.
Manage concurrent OpenCode coding sessions across multiple repositories.
Unify coding agents into local MCP tools for recursive delegation and management.
Control Claude Code sessions in tmux with fine-grained orchestration and efficient extraction.