# veloce

> veloce — lokesh-tallapaneni-veloce. Use this tool when you need to build high-performance, asynchronous web applications with streamlined route management. Veloce solves the problem of redundant code by generating HTTP, OpenAPI, and MCP tools from a single route definition, providing a unified interface for development and documentation. It is ideal for use cases requiring fast, scalable, and well-documented web services, with inputs including route definitions and outputs including generated API tools and documentation.

Canonical page: https://skillsregistry.net/skills/lokesh-tallapaneni-veloce  
JSON: https://api.skillsregistry.net/v1/skills/lokesh-tallapaneni-veloce

## Description

Async Python web framework where one route definition drives HTTP, OpenAPI and MCP tools. ASGI-native, written from scratch, batteries included.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Lokesh-Tallapaneni/veloce)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lokesh-tallapaneni-veloce"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lokesh-tallapaneni-veloce` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lokesh-tallapaneni-veloce/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt