# bandiradar-mcp

> Use this tool when you need to monitor and rank Italian public funding opportunities against a company profile. It solves the problem of manually searching and matching funding opportunities by normalizing them into a canonical model and using a two-stage matcher. The tool takes company profiles and funding opportunities as inputs and outputs ranked funding matches, streamlining the process of finding relevant public funding.

Canonical page: https://skillsregistry.net/skills/mayai-it-bandiradar  
JSON: https://api.skillsregistry.net/v1/skills/mayai-it-bandiradar

## Description

Enables monitoring Italian public funding opportunities, normalizing them into a canonical model, and ranking them against a company profile with a two-stage matcher.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jbiv0ikefr)
- **Repository:** <https://github.com/mayai-it/bandiradar>

## 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": "mayai-it-bandiradar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mayai-it-bandiradar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mayai-it-bandiradar/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