# Felt MCP

> Use this tool when you need to programmatically interact with Felt maps, such as listing, retrieving details, or creating new maps using natural language inputs. It solves problems related to map automation and integration, allowing for efficient map management through an MCP server interface. This tool is ideal for use cases that require dynamic map creation or retrieval, with outputs in a machine-readable format.

Canonical page: https://skillsregistry.net/skills/kthy-felt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kthy-felt-mcp

## Description

Enables to interact with Felt maps programmatically through an MCP server. Supports listing, retrieving details, and creating maps with natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tvd2ois9cr)
- **Repository:** <https://github.com/kthy/felt-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": "kthy-felt-mcp"
    }
  }
}
```

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