# Report Needs MCP Server

> Use this tool when you need to report infrastructure requirements and deficiencies encountered by AI agents during task execution. It solves problems related to resource allocation, task failure, and performance optimization by providing a centralized server for agents to submit needs and receive necessary support. The tool accepts reports from AI agents as input and outputs resource allocation recommendations and infrastructure adjustments.

Canonical page: https://skillsregistry.net/skills/io-github-jarvisonm4-report-needs  
JSON: https://api.skillsregistry.net/v1/skills/io-github-jarvisonm4-report-needs

## Description

MCP server for AI agents to report infrastructure needs they encounter during task execution

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.JarvisOnM4%2Freport-needs)
- **Repository:** <https://github.com/JarvisOnM4/report-needs>

## 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": "io-github-jarvisonm4-report-needs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-jarvisonm4-report-needs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-jarvisonm4-report-needs/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