typed-schema-demo SKILL.md skillA
typed-schema-demo from dcc-mcp/dcc-mcp-core is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dcc-mcp/dcc-mcp-core/typed-schema-demo@git:20260927.f5cfb64Pins git:20260927.f5cfb64 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- dcc-mcp/dcc-mcp-core
- Path
examples/skills/typed-schema-demo/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260927.f5cfb64, committed Sep 27, 2026
- First version recorded
- May 1, 2026
- Size
- 1,910 bytes
- Repository stars
- 73
- License
- MIT
Example skill — demonstrates zero-dependency JSON Schema derivation from Python dataclasses and type annotations (issue #242). Use as a reference when authoring typed handlers that should publish inputSchema / outputSchema without hand-writing JSON. Not intended for production use.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Typed Schema Demo (issue #242) This skill demonstrates the `dcc_mcp_core.schema` helpers landed for issue #242: authors write a typed handler and `tool_spec_from_callable` derives both `inputSchema` and `outputSchema` from the annotations, with no dependency on `pydantic`, `jsonschema`, or `attrs`. ## What to look at - `scripts/demo.py` — one handler using a dataclass input and a dataclass output. The derived schemas are structurally compatible with pydantic's `model_json_schema()` so callers can swap in pydantic later without migrating agents or cached schemas. ## How to wire it into a server The demo module builds a `ToolSpec` that is ready for `dcc_mcp_core._tool_registration.register_tools(server, [spec])`. Inside an adapter (e.g. Maya/Blender), register it during bootstrap: ```python from dcc_mcp_core._tool_registration import register_tools from typed_schema_demo.scripts.demo import spec register_tools(server, [spec], dcc_name="python") ``` When the negotiated MCP session is `2025-06-18`, the gateway publishes `outputSchema` alongside `inputSchema` so clients can validate the `structuredContent` payload our handler returns.
Read the whole file at its exact version.
How to install
mdr add dcc-mcp/dcc-mcp-core/typed-schema-demo@sha256:fec5bb09547dc4adThe line at the top of this page pins the label git:20260927.f5cfb64, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_qoskllreyj5mfq24)
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Versions
The registry has recorded 3 versions of this file, between May 1, 2026 and Sep 27, 2026, about one every 74 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260927.f5cfb64 latest | 2026-09-27 | f5cfb64 | 1,910 B | A | view · diff |
| git:20260505.5c57b27 | 2026-05-05 | 5c57b27 | 1,784 B | A | view · diff |
| git:20260501.dc36f34 | 2026-05-01 | dc36f34 | 1,803 B | A | view |
Audit of the latest version
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Source
dcc-mcp/dcc-mcp-core · 73 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qoskllreyj5mfq24 GET https://markdownregistry.com/api/v1/resolve?ref=dcc-mcp/dcc-mcp-core/typed-schema-demo GET https://markdownregistry.com/api/v1/blob/fec5bb09547dc4adcba92529b290585ec6a9c9af272c810b70a60b60a52fef6f
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