# StacksFinder

> Use this tool when you need to determine the optimal technology stack for your large language model (LLM) projects, as it analyzes various frameworks, databases, and technologies across multiple dimensions to provide personalized recommendations. StacksFinder solves problems related to tech stack selection, comparison, and migration, and offers features such as daily demo recommendations, project estimation, and technical debt audits. It accepts project requirements as input and outputs tailored tech stack suggestions, making it ideal for developers and project managers seeking to streamline their technology selection process.

Canonical page: https://skillsregistry.net/skills/stacksfinder  
JSON: https://api.skillsregistry.net/v1/skills/stacksfinder

## Description

Provides deterministic tech stack recommendations for LLM clients. Analyzes frameworks, databases, and other technologies across six dimensions: performance, developer experience, ecosystem, maintainability, cost, and compliance. Free features include listing technologies, analyzing individual technologies, comparing options, and daily demo recommendations. Pro tier adds unlimited recommendations, project estimation, technical debt audits, and migration planning.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stacksfinder)
- **Repository:** <https://github.com/hoklims/stacksfinder-mcp>

## 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": "stacksfinder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stacksfinder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stacksfinder/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