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OpenCode Documentation for AI Agents & MCP

OpenCode documentation details configuring AI agents, defining reusable behaviors with SKILL.md, and integrating with development environments via ACP, MCP, and LSP. It guides users on extending functionality and automating coding tasks for AI workflows.

Pages
34
491
Tokens
~93K
Updated
Oct 14, 2026
Monitoring
Active

Works with

  • ChatGPT
  • Claude
  • Cursor
  • MCP clients
Solutions

What AI Agents Can Do With This Source

Use OpenCode Documentation to complete source-specific tasks, make informed decisions, and follow evidence-backed workflows.

Integrating OpenCode with an ACP-compatible editor

The documentation provides configuration steps and examples for setting up OpenCode as an ACP-compatible subprocess in editors like Zed.

Defining reusable agent behaviors using SKILL.md files

The source explains how to define agent skills by placing SKILL.md files in specific project or global directories for on-demand discovery and loading.

Configuring and utilizing specialized AI agents

The documentation details how to configure primary agents and subagents, including their types, tool access, and how to switch between them during a session.

Extending OpenCode with external tools via MCP

The documentation describes how to add local and remote MCP servers to OpenCode's configuration, making external tools automatically available to the LLM.

Creating custom commands for repetitive tasks

The documentation provides instructions on defining custom commands using markdown files or the OpenCode config, allowing agents to automate specific prompts in the TUI.

Leveraging LSP servers for agent feedback and diagnostics

The source explains how OpenCode integrates with LSP servers to use diagnostics as feedback, listing built-in servers and their requirements for popular languages.

Coverage

What's Indexed from OpenCode

A quick look at the main areas Bulkgrid has indexed and keeps ready for AI search, MCP, extraction, and change detection.

Content

/packages/web/src/content

34 pages

Explains how to configure OpenCode's AI agents, integrate with development environments via ACP, define reusable skills, manage custom commands, and interact through the command-line interface.

Advantages

Why Use Bulkgrid for AI-Ready Sources

Bulkgrid turns important websites into fresh, queryable, AI-ready sources without making teams maintain the infrastructure.

Spend Fewer Tokens

Retrieve the right source context instead of sending large pages, pasted docs, or noisy search results into every prompt.

Improve Answer Accuracy

Ground responses in current, source-backed evidence to reduce hallucinations and avoid relying on stale model memory.

Use Fresh Source Data

Keep important websites automatically recrawled and updated so AI is not working from old content.

Query Instantly

Search already-indexed source content immediately instead of crawling pages at question time.

No Infrastructure Maintenance

Bulkgrid handles crawling, rendering, retries, storage, indexing, recrawls, and change detection.

Change Detection

See when pages are added, removed, updated, or fail so teams can react without checking manually.

Give Your Agents Up-to-Date Knowledge from OpenCode

Search and use knowledge from OpenCode in ChatGPT, Claude, Cursor, and any MCP-compatible client.