# Arcate MCP Connect

> Use this tool when you need to integrate AI agents with your product discovery workflow to access signals, roadmaps, and customer feedback. It solves problems related to data ingestion, signal analysis, and initiative planning by providing a natural language interface to search and link data. The Arcate MCP Connect tool takes in natural language commands as input and outputs relevant data and insights to inform product development decisions.

Canonical page: https://skillsregistry.net/skills/arcatehq-arcate-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arcatehq-arcate-mcp

## Description

Gives AI agents direct access to your Arcate product discovery workspace to read signals, browse roadmaps, and ingest new customer feedback. It enables users to search existing data and link signals to initiatives through natural language commands.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/opg3pebg05)
- **Repository:** <https://github.com/ArcateHQ/arcate-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": "arcatehq-arcate-mcp"
    }
  }
}
```

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