# resolve-mcp

> resolve-mcp — unitedideas-resolve-mcp. Use this tool when you need to implement structured error recovery for AI agents, resolving service failures with automated playbooks. The resolve-mcp server provides backoff schedules, retry strategies, and recovery steps for 20+ services, taking in error inputs and returning customized resolution outputs. Ideal for AI applications requiring reliable service interactions, with a free tier supporting up to 500 requests per month.

Canonical page: https://skillsregistry.net/skills/unitedideas-resolve-mcp  
JSON: https://api.skillsregistry.net/v1/skills/unitedideas-resolve-mcp

## Description

MCP server for structured error recovery for AI agents. Returns resolution playbooks (backoff schedules, retry strategies, recovery steps) for 20+ services. Free tier: 500 req/month.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/unitedideas/resolve-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": "unitedideas-resolve-mcp"
    }
  }
}
```

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