# flowcastle-mcp

> flowcastle-mcp — flowcastle-telegram-bot-templates. Use this tool when you need to build, edit, and deploy Telegram bots efficiently, solving problems such as streamlining bot development and management. It provides a hosted visual flow platform with 16 tools and 23 ready-to-use templates, accepting workspace context as input and producing deployed bots as output. Ideal for use cases requiring rapid bot development and deployment, such as automating customer support or creating interactive experiences.

Canonical page: https://skillsregistry.net/skills/flowcastle-telegram-bot-templates  
JSON: https://api.skillsregistry.net/v1/skills/flowcastle-telegram-bot-templates

## Description

Build, edit, and deploy Telegram bots on FlowCastle's hosted visual flow platform: 16 tools to read workspace context, learn the flow format, validate and apply flow edits, and manage broadcasts. Ships with 23 ready-to-use bot templates and runs as a stdio bridge (mcp-remote) to the hosted Streamable HTTP endpoint.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/atfmenkiyy)
- **Repository:** <https://github.com/FlowCastle/telegram-bot-templates>

## 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": "flowcastle-telegram-bot-templates"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flowcastle-telegram-bot-templates` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flowcastle-telegram-bot-templates/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