# agents-mcp

> Use this tool when you need to integrate AI agents into custom workflows, leveraging OpenAI-compatible APIs for advanced natural language processing and machine learning capabilities. It solves problems related to automated decision-making, data analysis, and complex task execution by supporting persistent memory, preset agents, and multi-step workflows. Ideal for use cases requiring flexible and scalable AI-driven pipelines and swarms.

Canonical page: https://skillsregistry.net/skills/dedinc-agents-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dedinc-agents-mcp

## Description

Enables running AI agents via OpenAI-compatible APIs with custom system prompts, models, and queries. Supports persistent memory, preset agents, and multi-step workflows like pipelines and swarms.

## 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:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mo5jxawcmy)
- **Repository:** <https://github.com/DedInc/agents-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": "dedinc-agents-mcp"
    }
  }
}
```

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