#Integration #Emit/CLI JSON Scraps integrates with AI assistants in two ways. CLI + JSON is the primary path because shell commands plus structured output are the lowest-friction contract any agent can use. MCP is supported for clients that expect Model Context Protocol tools. CLI + JSON (recommended) Any assistant with shell access can query Scraps without a long-running server. ❯ scraps search "rust cli" --logic and --json ❯ scraps get "Getting Started" --json ❯ scraps get "Getting Started" --heading "Install" --json body ❯ scraps get "Getting Started" --json code_blocks ❯ scraps get "Getting Started" --json images ❯ scraps links "Getting Started" --json ❯ scraps backlinks "Configuration" --json ❯ scraps tag list --json ❯ scraps todo --status all --json scraps get --json defaults to title, ctx, and body. It can project specific fields (title, ctx, body, headings, code_blocks, images) so an agent can avoid loading full bodies when it only needs structure or examples. scraps links --json returns outbound link and embed references with optional heading targets; backlinks stays a scrap-level inbound lookup. The full command map is in CLI Overview. Each command's --help documents flags and JSON shape. Bundled AI skills and agents For Claude Code and Codex users, the official scraps plugin packages Karpathy-style Ingest / Query / Lint workflows around the CLI. The Claude Code agents add purpose-driven lint handling and a default Scraps LLM Wiki schema grounded in the official docs: https://github.com/boykush/scraps/tree/main/plugins/scraps Skill / Agent Role /ingest Add a new scrap from a prompt, URL, or markdown; update cross-links /query Answer a question against the wiki with [[Title]] citations lint-rule-handler agent Purpose-driven wiki health checks, one or a few rules at a time scraps-llm-wiki-schema agent Explain Scraps tool usage from the official docs and map LLM Wiki practice to ingest, query, and lint-rule-handler Install instructions live in the plugin README so that marketplace browsers have everything in one place. MCP (for MCP-compatible clients) Scraps ships an MCP server for clients that prefer the Model Context Protocol. The server is bundled as a plugin so installation and tool specifications stay together: https://github.com/boykush/scraps/tree/main/plugins/mcp-server To wire the MCP server into Claude Code manually without the plugin: claude mcp add scraps -- scraps -C ~/path/to/your/wiki mcp serve Replace ~/path/to/your/wiki with the directory containing .scraps.toml. For most read-shaped agent workflows, the CLI + JSON path above is simpler: no long-running process, no MCP client implementation required, works with any shell-capable agent. MCP is the right choice when your agent already expects MCP tools as its integration surface.