# TaskGrade MCP Server

> TaskGrade MCP Server — eddyvlad-taskgrade. Use this tool when you need to classify software implementation tasks and recommend suitable coding-agent models. It solves problems related to task classification and model recommendation, taking in software implementation tasks as input and outputting classified tasks and recommended models. Ideal for use in software development workflows where automated task classification and model recommendation are required.

Canonical page: https://skillsregistry.net/skills/eddyvlad-taskgrade  
JSON: https://api.skillsregistry.net/v1/skills/eddyvlad-taskgrade

## Description

Classifies software implementation tasks using local Ollama models and recommends coding-agent models based on a deterministic policy.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qr554y9jl4)
- **Repository:** <https://github.com/eddyvlad/taskgrade>

## 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": "eddyvlad-taskgrade"
    }
  }
}
```

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