Model Context Protocol

OpenCode MCP Server

Autonomous Coding & Environment Control

Grant your AI agents autonomous coding capabilities. This MCP server allows LLMs to create coding sessions, run tasks, and manage files within a secure, sandboxed environment.

Developers use OpenCode MCP to delegate heavy-lifting coding tasks. Instead of manual refactoring, you can tell your AI: 'Use OpenCode to migrate this entire directory to the latest version of Next.js and fix any linting errors.' The agent spins up a session, runs the necessary commands, and provides a verified output while you focus on architecture and design.

  • ✓Securely execute code in a sandboxed environment
  • ✓AI-driven refactoring and debugging workflows
  • ✓Background task execution for long-running jobs
  • ✓Full visibility into AI coding sessions and progress
Deploy Managed ServerExplore Integrations
mcp-config.json
{
  "mcpServers": {
    "opencode": {
      "command": "npx",
      "args": [
  "-y",
  "opencode-mcp"
],
      "env": {
        "OPENCODE_API_KEY": "your_opencode_api_key"
      }
    }
  }
}
Real-World Automation

Common Workflows

See how teams combine this MCP with other tools to automate real business processes.

Continuous Refactoring Loop

Scenario: AI detects a performance bottleneck and uses OpenCode to optimize the specific function.
Steps:
  1. AI identifies slow function via profiling data
  2. OpenCode MCP creates a new coding session
  3. AI executes opencode_run to implement optimization and run tests
  4. AI verifies the fix and submits a PR
Outcome: Codebase quality improves automatically. Engineers save hours on routine performance tuning.
Protocol Definition

Available Tools — In Depth

Detailed reference for each tool exposed by this MCP server, with examples and related use cases.

⚒

opencode_ask

Ask a coding question and get a response after agent finishes

⚒

opencode_run

Execute a specific coding task and wait for completion

⚒

opencode_fire

Start a task in the background and return a sessionId

⚒

opencode_check

Check the status and progress of a background task

⚒

opencode_create_session

Start a new interactive coding session

Setup Guide

Configuration & Best Practices

Setup Checklist

  • ✓
    OPENCODE_API_KEY (required)
    Obtain from your OpenCode dashboard.

When to Use OpenCode MCP Server vs. Alternatives

Use This MCP When:

  • You need AI-native access via natural language
  • Your workflows span multiple tools (MCP composability)
  • You prefer cloud hosting over local Docker
  • You want zero-config deployment with ClawFast
  • Your use case requires LLMs to reason and act autonomously

Consider Alternatives When:

  • You need bulk data sync (use native export/import)
  • Real-time streaming is critical (use native webhooks)
  • You have strict compliance requiring direct API audit logs
  • Your integration is a one-off script (direct SDK may be simpler)
  • You need features not yet exposed by this MCP server
FAQ

Common Questions About OpenCode MCP Server

No additional FAQs for this MCP yet.

Technical Specifications

Protocol
SSE (Server-Sent Events)
Transport
HTTPS (TLS 1.3)
Authentication
Bearer token
Hosting
OpenCode Cloud / ClawFast Bridge

Why Managed MCP?

Model Context Protocol (MCP) is the new standard for AI connectivity. While you can host servers locally, ClawFast provides a production-grade managed environment.

  • 24/7 Availability: No need to keep your local machine running.
  • Secure Secrets: API keys are encrypted at rest and never exposed to logs.
  • SSE Protocol: Native Server-Sent Events (SSE) support for cloud-to-cloud connectivity.
  • Zero Config: One-click deployment with pre-configured templates.

Looking for more ways to use OpenCode MCP Server?

Explore our high-level integration page for OpenCode MCP Server to see business use cases and ready-to-use AI agent templates.

View OpenCode MCP Server Integrations →

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