# @navop/mcp

> @navop/mcp — feigecode-navop-mcp. Use this tool when you need to integrate AI agents with Navop desktop applications, enabling seamless interaction and automation. It solves problems of compatibility and communication between AI systems and Navop software, allowing for standardized input and output via the MCP protocol. This bridge provides a standardized interface for AI agents to send and receive data to and from Navop applications.

Canonical page: https://skillsregistry.net/skills/feigecode-navop-mcp  
JSON: https://api.skillsregistry.net/v1/skills/feigecode-navop-mcp

## Description

MCP stdio bridge to a running Navop desktop application, enabling AI agents to interact with Navop via MCP protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hu5hn7y0fb)
- **Repository:** <https://github.com/feigeCode/navop-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": "feigecode-navop-mcp"
    }
  }
}
```

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