# specopt-mcp

> Use this tool when you need to optimize prompts and code for AI agents, solving issues with inefficient specifications and skill implementations. It takes in agent files, specifications, and skills as input and outputs optimized versions, streamlining the development process. Ideal for use cases where performance and accuracy are critical, such as large-scale AI deployments or complex agent interactions.

Canonical page: https://skillsregistry.net/skills/nafwa03-specopt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nafwa03-specopt-mcp

## Description

Enables prompt and code optimization using DSPy and MCP, with tools for optimizing agent files, specifications, and skills.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/izmfmzfarq)
- **Repository:** <https://github.com/nafwa03/specopt-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": "nafwa03-specopt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nafwa03-specopt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nafwa03-specopt-mcp/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