Integrating OpenCode with development environments
The documentation provides configuration steps and examples for using OpenCode via the Agent Client Protocol (ACP) in compatible editors like Zed and JetBrains.
All sources
OpenCode
https://opencode.ai/docsOpenCode Documentation for AI Agents & MCP Integration
Explore OpenCode documentation to integrate AI coding agents with development environments using ACP, define reusable agent behaviors with SKILL.md, and extend functionality via MCP servers. Access guides for configuring AI models like OpenCode Zen and Go, and learn about secure enterprise deployment and data handling.
- Pages
- 36
- Sections
- 518
- Tokens
- ~108.7K
- Refreshed
- Sep 23, 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.
Defining reusable agent behaviors for OpenCode
The documentation details how to create SKILL.md files with required frontmatter and placement rules for OpenCode to discover and load custom skills.
Extending OpenCode with external tools and plugins
The documentation explains how to add local or remote tools using the Model Context Protocol (MCP) by configuring them in the OpenCode Config.
Configuring AI models for OpenCode agents
The documentation outlines how to connect to LLM providers, including OpenCode Zen and Go, by running the /connect command and pasting an API key.
Deploying OpenCode securely in an enterprise
The documentation describes OpenCode Enterprise features like central config, SSO integration, and internal AI gateway use to ensure data stays within infrastructure.
Researching optimal AI models for coding tasks
OpenCode Zen and Go provide curated lists of tested and verified models, along with their respective access methods and performance characteristics, to guide model selection.
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.
Web
/packages/web
36 pages
This folder encompasses the OpenCode web package, containing its source code and all public documentation for integration, skills, and enterprise deployment.
Src
/packages/web/src
36 pages
This directory holds the primary source code for the OpenCode web package, including its content and comprehensive documentation.
Content
/packages/web/src/content
36 pages
Includes 36 indexed pages spanning Docs within the Content section.
Docs
/packages/web/src/content/docs
36 pages
This directory serves as the primary repository for OpenCode's public documentation, covering topics like ACP support, agent skills, CLI, and enterprise features.
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.