tdmcp-tool-builder
SkillFiles & storageHow to author one new tdmcp MCP tool the house way — the file shape (XImpl + registerX), the Python-bridge pattern (buildPayloadScript/parsePythonReport over executePythonScript), the result helpers (errorResult/guardTd/jsonResult/structuredResult), fail-forward error handling, ESM/.js + Biome style, and the offline msw unit test that proves it. Load this whenever building, extending, reviewing, or testing a tdmcp tool file under src/tools/** (and its test under tests/unit/**). Use it for every Phase-13 / v0.5.0 feature-build tool and any re-run after a gate failure.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the tdmcp-tool-builder skill
What this skill tells your AI
The instructions your AI receives, as published by pantani/tdmcp in .agents/skills/tdmcp-tool-builder/SKILL.md and read by ahel’s review.
You build one new tdmcp tool, end to end, matching the repo so closely a reviewer cannot tell which files are new. tdmcp is a TouchDesigner MCP server: a Node/TS server (this repo) drives a Python bridge running inside TouchDesigner. A "tool" is a TS handler that the AI can call; most tools do their work by sending one Python script to the bridge and parsing a JSON report back.
The canonical template is src/tools/layer2/manageComponent.ts. Read it
first, every time. Copy its shape exactly. The rules below explain why each
piece exists so you make the right call on edge cases.
The contract: one file, two exports (+ schema)
Every tool file exports three things and nothing surprising:
export const xSchema = z.object({ … })— the Zod input schema. Each field gets a.describe()written for an AI caller (say what it does and the units).export async function xImpl(ctx: ToolContext, args): Promise<CallToolResult>— the pure, testable handler. It takes the injectedToolContext({ client, knowledge, recipes, logger, vault?, allowRawPython }) and the validated args. All TD work goes throughctx.client. Unit tests call this directly with a mocked client — so it must never read globals or env directly.export const registerX: ToolRegistrar = (server, ctx) => server.registerTool( name, { title, description, inputSchema: xSchema.shape, annotations }, (args) => xImpl(ctx, args)).
Types come from ../types.js (ToolContext, ToolRegistrar). The name is
snake_case (add_custom_parameters); the file is camelCase
(addCustomParameters.ts); the registrar is registerAddCustomParameters.
annotations describe side effects for the client UI. Mutating builders use
{ readOnlyHint: false, destructiveHint: false, openWorldHint: true }. Pure read
tools use { readOnlyHint: true, openWorldHint: true }. A tool that can wipe data
sets destructiveHint: true.
Read tools: prefer structuredResult + outputSchema
If the tool's job is to return data for an agent to process (analysis,
inspection), also export xOutputSchema = z.object({...}), pass
outputSchema: xOutputSchema.shape in the registration, and return
structuredResult(summary, data) (see snapshotTdGraph.ts). The text block stays
a one-line summary; the data rides the structured channel so agents read it with
code instead of re-parsing a JSON fence.
The bridge pattern (most tools)
Appending parameters, walking children, editing a DAT — these have no dedicated
REST endpoint, so you do them in one Python pass. Do not add REST
endpoints; executePythonScript is the agreed escape hatch.
import { buildPayloadScript, parsePythonReport } from "../pythonReport.js";
const X_SCRIPT = `
import json, base64, traceback
_p = json.loads(base64.b64decode("__PAYLOAD_B64__").decode("utf-8"))
report = {"...": ..., "warnings": []}
try:
_c = op(_p["comp"])
if _c is None:
report["fatal"] = "Not found: " + str(_p["comp"])
else:
... # do the work; append per-item failures to warnings
except Exception:
report["fatal"] = traceback.format_exc().splitlines()[-1]
print(json.dumps(report)) # the report is the LAST line of stdout
`;
export function buildXScript(payload: object): string {
return buildPayloadScript(X_SCRIPT, payload);
}
- Payload travels as base64.
buildPayloadScript(TEMPLATE, payload)replaces__PAYLOAD_B64__withbase64(JSON.stringify(payload)), so arbitrary artist strings (quotes, newlines, unicode) can never break Python quoting. Never string-interpolate user input into Python. - Keep all TD globals inside the script.
op,project,app,absTime,meexist only in the bridge's exec scope. Reference them only inside the template string. - The report is the last
print(json.dumps(...)).parsePythonReport<T>( exec.stdout)recovers it even if TD logs other lines first. Define a TSinterface XReport { …; warnings: string[]; fatal?: string }forT. - Run it:
const exec = await ctx.client.executePythonScript(script, true);thenparsePythonReport<XReport>(exec.stdout). (Thetruereturns stdout.)
Fail-forward, never throw
Inputs are already validated by the Zod schema. Past that, a handler must never
throw. Wrap the bridge call in guardTd(fn, onOk) (from ../result.js): it runs
fn, and converts any thrown TdError into a friendly errorResult instead of
exploding out of the MCP handler. In onOk, branch on report.fatal →
errorResult(msg, report); otherwise return jsonResult(summary, report).
Inside Python, collect per-item problems into report["warnings"] and keep going —
a partial result that did 4 of 5 things is more useful than a hard failure. Reserve
report["fatal"] for "nothing could be done" (target not found, wrong op type).
The result helpers (all from src/tools/result.ts):
errorResult(message, data?)—isError: true; optionaldataappended as a JSON fence. Use forfataland for pre-flight arg checks the schema can't express.jsonResult(summary, data)— a text summary + pretty JSON fence. The default for mutating tools.structuredResult(summary, data)— summary +structuredContent. For read tools (pair withoutputSchema).guardTd(fn, onOk)— the try/catch wrapper. Always use it for bridge calls.imageResult,textResult— rarely needed here.
The Layer-1 orchestration pattern (only if extending a Layer-1 builder)
Layer-1 tools that build a whole wired network use a different spine:
runBuild(async () => { const builder = await createSystemContainer(ctx, parent, name); await builder.add(type, name); await builder.python(...); return finalize( ctx, { summary, builder, outputPath, controls, extra }); }) (see
createSyncExternalClock.ts). Only follow this if your task explicitly says to
extend a Layer-1 file. New standalone tools use the bridge pattern above.
Style (Biome enforces it — match exactly)
- ESM / NodeNext: every relative import must end in
.js(../result.js,../types.js,../pythonReport.js). Omitting it fails the build. - 2-space indent, double quotes, semicolons, trailing commas, 100-col width.
noUncheckedIndexedAccessis on — guard array/object index access.- Don't hand-format; the lead runs
./node_modules/.bin/biome check .andformat. Just keep it close.
The test (offline, required — copy a sibling)
Every tool ships a tests/unit/<tool>.test.ts that runs with no TouchDesigner:
msw mocks the bridge. Copy the closest sibling:
- Bridge-pattern tool → copy
tests/unit/documentNetwork.test.tsfor the structure, but the assertion style of abuildPayloadScripttool: overridePOST ${TD_BASE}/api/execwithserver.use(...)to capture the script, pull the base64 out (/b64decode\("([^"]+)"\)/),JSON.parse(Buffer.from(b64, "base64").toString("utf8")), and assert the payload you sent. - Layer-1 tool → copy
tests/unit/createSyncExternalClock.test.ts(captureCreateBodies+captureExecScripts).
Boilerplate that every test needs:
import { HttpResponse, http } from "msw";
import { afterAll, afterEach, beforeAll, describe, expect, it } from "vitest";
import { makeTdServer, TD_BASE } from "../helpers/tdMock.js";
import { xImpl, xSchema } from "../../src/tools/layerN/x.js";
import { TouchDesignerClient } from "../../src/td-client/touchDesignerClient.js";
import { KnowledgeBase } from "../../src/knowledge/index.js";
import { RecipeLibrary } from "../../src/recipes/loader.js";
import { silentLogger } from "../../src/utils/logger.js";
import type { ToolContext } from "../../src/tools/types.js";
const server = makeTdServer();
beforeAll(() => server.listen({ onUnhandledRequest: "error" }));
afterEach(() => server.resetHandlers());
afterAll(() => server.close());
function makeCtx(): ToolContext {
return {
client: new TouchDesignerClient({ baseUrl: TD_BASE, timeoutMs: 2000 }),
knowledge: new KnowledgeBase(),
recipes: new RecipeLibrary(),
logger: silentLogger,
};
}
TD_BASE is http://127.0.0.1:9980. The default handlers in
tests/helpers/tdMock.ts already answer /api/exec (returns {result:null, stdout:""}), /api/nodes, /api/preview/:seg, topology, etc. To assert on or
shape a response, server.use(...) an override inside the test.
Cover three things, minimum:
- Happy path builds the expected payload — decode it and assert the fields you put in (page name, param specs, old/new strings…). Assert the friendly summary text.
- Bridge
fatal(override/api/execto return a stdout whose JSON report has"fatal") → result hasisError: trueand does not throw. - Bad input → either the schema rejects it (
expect(() => xSchema.parse(bad)).toThrow()) orxImplreturns anisErrorresult. Assert it never throws out of the handler.
Run your test in isolation before declaring done:
npx vitest run tests/unit/<tool>.test.ts.
Also typecheck — vitest does not. vitest strips types, so it will pass code
that tsc rejects. Run npx tsc --noEmit (or npm run typecheck) too. The most
common trap: a Zod field with .default(...) is required in the impl's
z.infer arg type (the inferred output type), so when your test calls
xImpl(ctx, {...}) directly (bypassing schema parsing) you must pass every
defaulted field explicitly — omit one and vitest is green but tsc fails. Test the
default itself separately via xSchema.parse({}).field.
Scope — stay in your lane
You create only new files: the tool file and its test. You never edit
src/tools/layer*/index.ts, src/cli/agent.ts, src/prompts/index.ts, docs,
CHANGELOG, ROADMAP, or any other shared file — the lead wires your registrar
into the layer index and adds the matching CLI command after you finish. This is
how parallel builders avoid stepping on each other (one shared file edited by many
agents = merge hell). If you think a shared file must change, say so in your
final report; do not edit it.
Do not invent operator types or TD API calls. When unsure whether
op.appendXYZ/a parameter name/an extension par exists, probe it (the script
can read dir(comp) / comp.pars() and report) or consult the operator knowledge
base under src/knowledge/data — never guess a method that fails silently at
runtime.
Definition of done (self-check before reporting)
- File exports
xSchema,xImpl,registerX(+xOutputSchemaif a read tool). - Bridge tool uses
buildPayloadScript+parsePythonReport; all TD globals live inside the script string; payload is base64 (no string interpolation). - Handler never throws:
guardTdaround the bridge call;fatal→errorResult; per-item issues →warnings. - Every relative import ends in
.js; Biome-clean (2-space, double quotes, trailing commas). - Test exists, runs offline (msw), asserts payload + summary + a no-throw
bad/fatal case, and passes via
npx vitest run tests/unit/<tool>.test.ts. - You touched only your two new files.
- Final report names the tool, the two files, the bridge calls used, anything
you had to probe/assume, and the exact CLI command + layer index entry the
lead should add (
registerX→ whichindex.ts;xImpl/xSchema→ CLI key).
Signals
- GitHub stars
- 41
- Forks
- 9
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
tdmcp-tool-builder- Source
- github.com/pantani/tdmcp