# copilot-studio-agent-direct-line-mcp

> Use this tool when you need to integrate conversational AI into your application or automate interactions with Microsoft Copilot Studio Agents. It solves problems such as streamlining conversation management and adding AI-powered chat functionality to your code, accepting inputs like conversation IDs and user messages, and outputting responses and conversation history. Ideal for use cases where you want to leverage AI-driven conversations directly within your development environment.

Canonical page: https://skillsregistry.net/skills/swigerb-copilot-studio-agent-direct-line-mcp  
JSON: https://api.skillsregistry.net/v1/skills/swigerb-copilot-studio-agent-direct-line-mcp

## Description

Enables interaction with Microsoft Copilot Studio Agents through the Direct Line 3.0 API, allowing users to start conversations, send messages, retrieve history, and end conversations directly from their code editor.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f50v1cyn2w)
- **Repository:** <https://github.com/swigerb/copilot-studio-agent-direct-line-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": "swigerb-copilot-studio-agent-direct-line-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swigerb-copilot-studio-agent-direct-line-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swigerb-copilot-studio-agent-direct-line-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