# Algorate MCP Server

> Use this tool when you need to benchmark and optimize algorithms across multiple programming languages, including JavaScript, TypeScript, and Python. It solves problems related to performance analysis and comparison, providing AI-powered insights to inform optimization decisions. The Algorate MCP Server takes in code snippets and outputs comprehensive performance reports, making it ideal for use cases where code efficiency and scalability are critical.

Canonical page: https://skillsregistry.net/skills/cmiretf-algorate-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cmiretf-algorate-mcp

## Description

Enables comprehensive algorithm benchmarking, performance analysis, and optimization across JavaScript, TypeScript, and Python code, with AI-powered insights and automated comparisons.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pgxvsa1wq7)
- **Repository:** <https://github.com/cmiretf/algorate-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": "cmiretf-algorate-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cmiretf-algorate-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cmiretf-algorate-mcp/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