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Manage concurrent OpenCode coding sessions across multiple repositories.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "opencode-agent-mcp" yet — see the docs or source repo.
Use this MCP tool to manage OpenCode coding agents in two repositories and create separate sessions.
Return independent sessions for each repo with message exchange support.
Distribute this set of coding tasks across multiple workspaces for concurrent processing while keeping contexts isolated.
Route tasks concurrently by workspace without context mixing.
List and manage current OpenCode sessions across multiple repositories, and support sending and receiving messages.
Show cross-repository session state and allow two-way messaging.
When a developer needs to work across several repositories at once, this tool can assign independent OpenCode agents to separate workspaces. It enables concurrency while keeping each context isolated.
If an upstream AI agent needs to exchange messages with coding agents, this MCP server exposes session capabilities over stdio JSON-RPC. It is suitable for automated coding collaboration and session state management.
It is an MCP server that exposes independent OpenCode AI coding agents to upstream agents. It supports concurrent multi-workspace routing, plus session management and message exchange across multiple repositories.
It helps you manage coding agents across multiple repositories without mixing contexts. It is especially useful when you need to handle tasks in several codebases concurrently.
From the provided information, it exposes capabilities via stdio JSON-RPC, so the upstream agent must be able to connect that way. For more specific installation or runtime requirements, see the source repository.
Let AI assistants use OpenCode CLI and multiple models through one interface.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Connect AI to OpenCode for autonomous coding, debugging, and refactoring across projects.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Connect coding agents in a secure network for collaboration and gated execution.
Unify coding agents into local MCP tools for recursive delegation and management.