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chore: add MCP token measurement script and docs #507
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jonathannorris
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feat-cleanup-mcp-tool-types
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chore-measure-token-size
Sep 5, 2025
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,135 @@ | ||
| #!/usr/bin/env ts-node | ||
| import { registerAllToolsWithServer } from '../src/mcp/tools' | ||
| import type { DevCycleMCPServerInstance } from '../src/mcp/server' | ||
| import type { IDevCycleApiClient } from '../src/mcp/api/interface' | ||
|
|
||
| type Collected = { | ||
| name: string | ||
| description: string | ||
| inputSchema?: unknown | ||
| outputSchema?: unknown | ||
| } | ||
|
|
||
| const collected: Collected[] = [] | ||
|
|
||
| const mockServer: DevCycleMCPServerInstance = { | ||
| registerToolWithErrorHandling(name, config) { | ||
| collected.push({ | ||
| name, | ||
| description: config.description, | ||
| inputSchema: config.inputSchema, | ||
| outputSchema: config.outputSchema, | ||
| }) | ||
| }, | ||
| } | ||
|
|
||
| // We do not need a real client to collect tool metadata | ||
| const fakeClient = {} as unknown as IDevCycleApiClient | ||
|
|
||
| registerAllToolsWithServer(mockServer, fakeClient) | ||
|
|
||
| let openAiEncoderPromise: Promise<(input: string) => number[]> | undefined | ||
| async function countOpenAI(text: string): Promise<number> { | ||
| try { | ||
| if (!openAiEncoderPromise) { | ||
| openAiEncoderPromise = import('gpt-tokenizer').then((m) => m.encode) | ||
| } | ||
| const encode = await openAiEncoderPromise | ||
| return encode(text).length | ||
| } catch { | ||
| return 0 | ||
| } | ||
| } | ||
| let anthropicCounterPromise: Promise<(input: string) => number> | undefined | ||
| async function countAnthropic(text: string): Promise<number> { | ||
| try { | ||
| if (!anthropicCounterPromise) { | ||
| anthropicCounterPromise = import('@anthropic-ai/tokenizer').then( | ||
| (m) => m.countTokens, | ||
| ) | ||
| } | ||
| const countTokens = await anthropicCounterPromise | ||
| return countTokens(text) | ||
| } catch { | ||
| return 0 | ||
| } | ||
| } | ||
|
|
||
| type ResultRow = { | ||
| name: string | ||
| anthropic: { | ||
| description: number | ||
| inputSchema: number | ||
| outputSchema: number | ||
| total: number | ||
| } | ||
| openai: { | ||
| description: number | ||
| inputSchema: number | ||
| outputSchema: number | ||
| total: number | ||
| } | ||
| } | ||
|
|
||
| const rows: ResultRow[] = [] | ||
| let grandAnthropic = 0 | ||
| let grandOpenAI = 0 | ||
|
|
||
| async function main() { | ||
| for (const t of collected) { | ||
| const d = t.description ?? '' | ||
| const i = t.inputSchema ? JSON.stringify(t.inputSchema) : '' | ||
| const o = t.outputSchema ? JSON.stringify(t.outputSchema) : '' | ||
|
|
||
| const [aDesc, aIn, aOut] = await Promise.all([ | ||
| countAnthropic(d), | ||
| i ? countAnthropic(i) : Promise.resolve(0), | ||
| o ? countAnthropic(o) : Promise.resolve(0), | ||
| ]) | ||
| const aTotal = aDesc + aIn + aOut | ||
|
|
||
| const [oDesc, oIn, oOut] = await Promise.all([ | ||
| countOpenAI(d), | ||
| i ? countOpenAI(i) : Promise.resolve(0), | ||
| o ? countOpenAI(o) : Promise.resolve(0), | ||
| ]) | ||
| const oTotal = oDesc + oIn + oOut | ||
|
|
||
| grandAnthropic += aTotal | ||
| grandOpenAI += oTotal | ||
|
|
||
| rows.push({ | ||
| name: t.name, | ||
| anthropic: { | ||
| description: aDesc, | ||
| inputSchema: aIn, | ||
| outputSchema: aOut, | ||
| total: aTotal, | ||
| }, | ||
| openai: { | ||
| description: oDesc, | ||
| inputSchema: oIn, | ||
| outputSchema: oOut, | ||
| total: oTotal, | ||
| }, | ||
| }) | ||
| } | ||
|
|
||
| rows.sort((a, b) => a.name.localeCompare(b.name)) | ||
|
|
||
| console.log( | ||
| JSON.stringify( | ||
| { | ||
| tools: rows, | ||
| totals: { anthropic: grandAnthropic, openai: grandOpenAI }, | ||
| }, | ||
| null, | ||
| 2, | ||
| ), | ||
| ) | ||
| } | ||
|
|
||
| main().catch((err) => { | ||
| console.error(err) | ||
| process.exit(1) | ||
| }) | ||
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nit: the variable names could be more verbose. not blocking