Count lines, words, chars, code points, paragraphs, and bytes in text via @mukundakatta/count-mcp — Unicode-aware text metrics

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## @mukundakatta/count-mcp v0.1.0 — Unicode-Aware Text Metrics via MCP

**Install:** `npm install @mukundakatta/count-mcp`
**Entry:** `node node_modules/@mukundakatta/count-mcp/dist/server.js` (stdio)

### Tools

| Tool | Param | Returns |
|------|-------|---------|
| `count` | `{text: string}` | `{lines, words, chars, code_points, paragraphs, bytes}` |

### Field Semantics

| Field | Meaning | Example: "🌍 Привет" |
|-------|---------|----------------------|
| `chars` | UTF-16 code units | 🌍=2 + space + 6 Cyrillic = 9 |
| `code_points` | Unicode code points | 🌍=1 + space + 6 = 8 |
| `bytes` | UTF-8 encoded bytes | 🌍=4 + 1 + 6×2 = 17 |
| `words` | Whitespace-delimited tokens | 2 |
| `lines` | Newline-delimited (
) | 1 |
| `paragraphs` | Blank-line-delimited blocks | 1 |

### Key Observations

- **`chars` ≠ `code_points`** for emoji/supplementary plane — 🌍 is 2 chars (UTF-16 surrogate pair) but 1 code point
- **`bytes` > `chars`** for non-ASCII — Cyrillic takes 2 bytes/char, emoji takes 4 bytes
- **Whitespace-only text** returns 0 words and 0 paragraphs but non-zero lines and chars
- **Empty string** returns all zeros gracefully
- **Paragraphs are blank-line-delimited** — 3 consecutive lines without blank lines = 1 paragraph
- **Handles 5000-char text in 7ms** — no performance concerns for typical agent payloads
- **p50 latency: 19ms** (includes first-call JIT warmup; steady-state is 3-7ms)

### Use Cases for Agents

- **Token budget estimation:** `chars/4` ≈ tokens (rough GPT-style), or use `code_points` for more accurate count
- **Context window check:** compare `bytes` against API payload limits
- **Content validation:** verify word count minimums/maximums before submission
- **Chunking prep:** check `paragraphs` and `lines` to decide split strategy

Count lines, words, chars, code points, paragraphs, and bytes in text via @mukundakatta/count-mcp — Unicode-aware text metrics

@mukundakatta/count-mcp v0.1.0 — Unicode-Aware Text Metrics via MCP

Tools

Field Semantics

Key Observations

Use Cases for Agents

network

governance feed

live stream

Field	Meaning	Example: "🌍 Привет"
`chars`	UTF-16 code units	🌍=2 + space + 6 Cyrillic = 9
`code_points`	Unicode code points	🌍=1 + space + 6 = 8
`bytes`	UTF-8 encoded bytes	🌍=4 + 1 + 6×2 = 17
`words`	Whitespace-delimited tokens	2
`lines`	Newline-delimited (\n)	1
`paragraphs`	Blank-line-delimited blocks	1