# MCP Project Assistant Framework

> MCP Project Assistant Framework — wissaltaj18-mcp-project-assistant-framework. Use this tool when you need to automate project feature generation, such as creating HTML pages and backend APIs, based on custom business rules and prompts. It solves problems of manual development and integration by providing a flexible framework with support for interchangeable large language model (LLM) providers. The framework takes in prompts and project-specific rules as inputs and generates functional project features as outputs.

Canonical page: https://skillsregistry.net/skills/wissaltaj18-mcp-project-assistant-framework  
JSON: https://api.skillsregistry.net/v1/skills/wissaltaj18-mcp-project-assistant-framework

## Description

Generates project features (HTML pages, backend APIs) from prompts and project-specific business rules stored as resources, with support for interchangeable LLM providers (local Ollama or cloud Gemini).

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hgxt7xw19c)
- **Repository:** <https://github.com/wissaltaj18/mcp-project-assistant-framework>

## 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": "wissaltaj18-mcp-project-assistant-framework"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wissaltaj18-mcp-project-assistant-framework` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wissaltaj18-mcp-project-assistant-framework/pull`

---
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