# DiscoMCP

> DiscoMCP — ieranama-discomcp. Use this tool when you need to integrate AI agents with MCP servers, enabling seamless communication and automation of tasks. DiscoMCP solves the problem of complex AI-MCP server interactions by providing a soft-landing approach, allowing for efficient and effective integration. It takes in AI agent configurations and MCP server settings as inputs and outputs customized integration protocols, streamlining the integration process in various automation and workflow optimization contexts.

Canonical page: https://skillsregistry.net/skills/ieranama-discomcp  
JSON: https://api.skillsregistry.net/v1/skills/ieranama-discomcp

## Description

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hfczqeywmv)
- **Repository:** <https://github.com/ieranama/discomcp>

## 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": "ieranama-discomcp"
    }
  }
}
```

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