netcafe-devkit
JSON/YAML, regex, diff, JWT, SQL dialects — the keyless millisecond ops an agent needs mid-task.
Should I use this
Quality & Safety
Findings (6)
- HIGH
- MEDIUMin redact_text
- MEDIUMin make_qr
- LOWin redact_text
- LOWin screenshot_url
- INFOin redact_text
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"netcafe-devkit": {
"url": "https://ainetcafe.com/mcp/dev?s=registry"
}
}
}Remote endpoints
https://ainetcafe.com/mcp/dev?s=registrystreamable-httpWhat it can do
Tool inventory
Tools (14)
🟢what_can_you_do(task)
Describe a task in plain language (any language) and get back exactly which tools on this server do it, with ready-to-run example calls — instead of reading the whole catalogue and guessing. Also returns multi-step recipes when a task needs several tools chained (invoices to a ledger, a bank statement reconciled, a messy CSV turned into a deliverable). Deterministic and free: it calls no model, costs nothing, and never runs out of quota. Call this FIRST when you are not sure what this server offers.
Input Schema
{
"type": "object",
"properties": {
"task": {
"type": "string",
"description": "What you are trying to do, e.g. \"reconcile a bank statement against my books\" or \"把一堆发票整理成能入账的表格\""
}
},
"required": [
"task"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢redact_text(text, only)
Strip emails, phone numbers, ID numbers, API keys, private keys, JWTs, card numbers and IPs out of text, returning the redacted text plus a mapping table to restore them afterwards. Rule-based only — no model sees the input. The same value always maps to the same placeholder, so the answer can be restored.
Input Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to redact."
},
"only": {
"type": "string",
"description": "Optional comma-separated subset, e.g. \"EMAIL,API_KEY,PRIVATE_KEY\"."
}
},
"required": [
"text"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢json_yaml(text, to)
Converts JSON to YAML or YAML to JSON. It works out which one you gave it, so you do not have to say. A parse failure comes back with the parser message instead of silently producing something that looks fine and is not. Use when a config, a CI file, or a Kubernetes manifest needs to be in the other format.
Input Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The JSON or YAML content."
},
"to": {
"type": "string",
"description": "Optional: \"json\" or \"yaml\" to force the direction."
}
},
"required": [
"text"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢validate_json(text, schema)
Checks that text parses as JSON, and optionally that required keys are present with the right top-level types. Returns the specific violations, not just true/false. Checks required + types only — not full JSON Schema, and it says so rather than pretending. Use before feeding generated JSON into something that will fail on it.
Input Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The JSON to validate."
},
"schema": {
"type": "string",
"description": "Optional JSON Schema (as JSON text) — required[] and properties[].type are checked."
}
},
"required": [
"text"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢diff_text(a, b)
Returns which lines were added and which were removed, with line numbers — computed with a longest-common-subsequence, not guessed by a model. Use to compare two versions of a config, a document, or any command output, instead of asking an LLM to eyeball two blobs and hoping it notices.
Input Schema
{
"type": "object",
"properties": {
"a": {
"type": "string",
"description": "The first (before) text."
},
"b": {
"type": "string",
"description": "The second (after) text."
}
},
"required": [
"a",
"b"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢jwt_decode(token)
Decodes the header and payload of a JWT and reports issued-at / expiry as readable timestamps plus seconds remaining. The signature is NOT verified and the response says so — decoding is fine for debugging a token you already hold, but never treat these values as proof of anything; verification needs the secret and belongs in your own service.
Input Schema
{
"type": "object",
"properties": {
"token": {
"type": "string",
"description": "The JWT string."
}
},
"required": [
"token"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢regex_test(pattern, text, flags)
Runs a regular expression against sample text and returns every match with its position and capture groups (named groups included). Use before wiring a pattern into code, instead of guessing whether the escaping survived the trip through JSON and the shell.
Input Schema
{
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "The regular expression, without surrounding slashes."
},
"text": {
"type": "string",
"description": "The text to test against."
},
"flags": {
"type": "string",
"description": "Optional flags, e.g. \"gi\". Default \"g\"."
}
},
"required": [
"pattern",
"text"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢transpile_sql(sql, read, write)
Convert a SQL statement from one dialect to another — mysql, postgres, sqlite, tsql, oracle, snowflake, bigquery, redshift, spark, hive, presto, trino, duckdb, clickhouse, databricks, doris, starrocks and more. Deterministic parser (sqlglot), not an LLM: the same input always produces the same output, and syntax errors come back with the exact line and column. Use it when migrating queries between databases or debugging dialect-specific syntax.
Input Schema
{
"type": "object",
"properties": {
"sql": {
"type": "string",
"description": "The SQL statement (or several, separated by semicolons)."
},
"read": {
"type": "string",
"description": "Source dialect, e.g. \"mysql\". Omit to auto-detect from generic SQL."
},
"write": {
"type": "string",
"description": "Target dialect, e.g. \"postgres\", \"bigquery\", \"doris\"."
}
},
"required": [
"sql",
"write"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}🟢make_qr(text)
Any text or URL → a QR code PNG you can embed or download. Stateless URL form: https://ainetcafe.com/i/qr/<text>
Input Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text or URL to encode."
}
},
"required": [
"text"
]
}Output Schema
{
"type": "object",
"additionalProperties": true
}⚪json_format(json, url, indent)
Validate and pretty-print JSON (2-space indent). Reports the error location if invalid.
Input Schema
{
"type": "object",
"properties": {
"json": {},
"url": {},
"indent": {
"type": "number"
}
},
"additionalProperties": true
}🟢timezone_convert(to, from, time)
Convert a time between time zones, or get current time in any zone. from/to = IANA zone (Asia/Shanghai), time = YYYY-MM-DDTHH:mm (default now).
Input Schema
{
"type": "object",
"properties": {
"to": {
"type": "string"
},
"from": {
"type": "string"
},
"time": {
"type": "string"
}
},
"additionalProperties": true
}⚪unit_convert(value, from, to)
Convert units: length, weight, temperature, area, volume, speed, data size. value + from + to (e.g. 100 km mi, 25 c f).
Input Schema
{
"type": "object",
"properties": {
"value": {
"type": "number"
},
"from": {
"type": "string"
},
"to": {
"type": "string"
}
},
"additionalProperties": true
}⚪sql_from_description(request, schema, dialect)
Plain-language request + table schema → ready-to-run .sql file with comments.
Input Schema
{
"type": "object",
"properties": {
"request": {},
"schema": {
"type": "string"
},
"dialect": {}
},
"additionalProperties": true
}⚪screenshot_url(url, width)
Full-page screenshot of any URL → PNG. The same job screenshot APIs charge $7-79/month for.
Input Schema
{
"type": "object",
"properties": {
"url": {},
"width": {
"type": "number"
}
},
"additionalProperties": true
}Community
Evidence