# tool-disco

> Use this tool when you need to streamline tool discovery and composition, especially in Azure DevOps environments, to match natural language goals with relevant tools and enable proxy testing. It integrates with wikis and code-graph-rag to solve tooling problems and facilitate efficient workflow setup. Ideal for use cases involving complex toolchains and automated testing workflows.

Canonical page: https://skillsregistry.net/skills/egoughnour-tool-disco  
JSON: https://api.skillsregistry.net/v1/skills/egoughnour-tool-disco

## Description

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

## 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:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rxmpzhrlkq)
- **Repository:** <https://github.com/egoughnour/tool-disco>

## 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": "egoughnour-tool-disco"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/egoughnour-tool-disco` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/egoughnour-tool-disco/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