Creating custom commands for OpenCode
The documentation explains how to define custom commands using markdown files or JSON in the OpenCode config, allowing agents to automate repetitive tasks with tailored prompts and arguments.
All sources
Intro | AI coding agent built for the terminal
https://opencode.ai/docsOpenCode Documentation for AI Coding Agents & MCP Integration
Explore OpenCode documentation to integrate, build, and operate your AI coding agent. Learn to configure LLM providers, create custom commands, and integrate with LSP servers, MCP tools, and ACP-compatible editors. This resource also covers secure deployment for OpenCode Enterprise, enabling AI workflows for developers.
- Pages
- 36
- Sections
- 517
- Tokens
- ~106.8K
- Refreshed
- -
- Monitoring
- Active
Works with
- ChatGPT
- Claude
- Cursor
- MCP clients
Solutions
What AI Agents Can Do With This Source
Use Intro | AI coding agent built for the terminal Documentation to complete source-specific tasks, make informed decisions, and follow evidence-backed workflows.
Configuring LLM providers and models for OpenCode
The documentation provides steps to connect API keys for various LLM providers and select specific models, enabling OpenCode to utilize diverse AI capabilities effectively.
Integrating OpenCode with Language Server Protocol (LSP) servers
The source lists built-in LSP servers and explains how OpenCode uses their diagnostics as feedback, enhancing the agent's code analysis and correction capabilities.
Extending OpenCode with Model Context Protocol (MCP) tools
The documentation provides instructions for adding local and remote MCP servers to OpenCode, making external tools automatically available to the LLM for richer context.
Configuring OpenCode for Agent Client Protocol (ACP) editors
The source offers configuration examples for integrating OpenCode with various ACP-compatible editors like Zed and JetBrains IDEs, enabling its use within preferred development environments.
Securing OpenCode Enterprise deployments
The documentation outlines how OpenCode Enterprise supports central configuration, SSO integration, and internal AI gateways to ensure code and data remain within an organization's infrastructure.
Coverage
What's Indexed from Intro | AI coding agent built for the terminal
A quick look at the main areas Bulkgrid has indexed and keeps ready for AI search, MCP, extraction, and change detection.
Web
/packages/web
36 pages
Contains 36 indexed pages under /packages/web.
Src
/packages/web/src
36 pages
Contains 36 indexed pages under /packages/web/src.
Content
/packages/web/src/content
36 pages
Contains 36 indexed pages under /packages/web/src/content.
Docs
/packages/web/src/content/docs
36 pages
Contains 36 indexed pages under /packages/web/src/content/docs.
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 Intro | AI coding agent built for the terminal
Search and use knowledge from Intro | AI coding agent built for the terminal in ChatGPT, Claude, Cursor, and any MCP-compatible client.