* fix: validate parsed JSON at untrusted boundaries with Valibot Clipboard HTML, library revisions from shared storage, MCP and automation WebSocket messages, the MCP discovery file, sidecar output and AI/MCP tool arguments were JSON.parse'd and cast to their expected types, so a malformed payload reached the document or crashed paste. They now go through v.pipe(v.string(), v.parseJson(), Schema), which reports bad JSON and a wrong shape as the same validation failure. The path_set tool rejects an invalid VectorNetwork and shares its parser with create_vector. The CLI library catalog validates its files and runs revisions through the same size, identity and content-hash checks as the app; reading image bytes as index-keyed records also stops them coming back empty. Hand-rolled typeof readers for plugin data, document metadata, caches and preferences become schemas with their behaviour preserved, and readCacheJSON takes a schema for its payload. open-pencil/no-unvalidated-json-parse rejects type assertions on JSON.parse results other than `as unknown` in src and packages/*/src. * refactor: validate parsed JSON in tests and tooling Extend open-pencil/no-unvalidated-json-parse beyond source: tests, helpers and repo tooling now parse JSON through Valibot schemas instead of asserting a type. The shared fixture reader returns a validated object; its old array annotation never matched the fixtures. * fix: validate clipboard geometry bytes, library images and model catalogs Clipboard geometry blobs and library image bytes must be bytes at contiguous indexes, so out-of-range or gapped values are rejected instead of silently becoming different geometry or images; serialized library nodes must carry source metadata. The models.dev and OpenRouter responses are validated like their cached copies, and activate-tab rejects a CDP frame it cannot read instead of hanging. * refactor: extend the JSON validation lint to .json() results no-unvalidated-json-parse now also rejects type assertions on Response, Bun.file and shell .json() results, the same unchecked parse in another form. MCP server tests read /health through a validated readHealth helper and discovery files through parseDiscoveryInfo; the remaining tooling reads its JSON through schemas. * test: validate the RPC request body in the CLI app export test * test: validate CLI JSON output in the tool and app command tests * test: compare the malformed models.dev fallback with the curated list |
||
|---|---|---|
| .. | ||
| bin | ||
| src | ||
| tests | ||
| AGENTS.md | ||
| package.json | ||
| README.md | ||
| tsconfig.json | ||
| tsdown.config.ts | ||
@open-pencil/mcp
Model Context Protocol server for OpenPencil. It lets MCP clients such as Claude Code, Cursor, and Windsurf inspect and edit designs through the running app, reusing the same tool definitions as the built-in AI chat.
npm install -g @open-pencil/mcp
openpencil-mcp # stdio transport for MCP clients
openpencil-mcp-http # Streamable HTTP transport for browser extensions and scripts
On macOS and Linux, local clients prefer a private Unix domain socket; Windows and unavailable sockets fall back to localhost TCP. File access is limited to the effective MCP root.
- Setup and client configuration: https://openpencil.dev/programmable/mcp-server
- Source and issues: https://github.com/open-pencil/open-pencil
MIT License.