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FlowCastle

FlowCastle

Remote
flowcastle.aiDeveloper Tools2Updated 14w ago

About FlowCastle

FlowCastle provides a visual workflow platform, Telegram bot templates, and an MCP server for developers building bots with AI coding agents. Agents can inspect workspaces, validate flow actions, and apply changes that remain visually editable.

Key features

  1. 01Visual Telegram bot workflow builder
  2. 0223 JSON bot templates
  3. 0316 MCP tools for flow editing
  4. 04Validate and apply flow actions
  5. 05REST API for contacts and broadcasts

Use cases

  1. 01Draft a Telegram bot flow with an AI coding agent
  2. 02Start from and customize a bot template
  3. 03Inspect and edit flows visually after agent changes

MCP support

FlowCastle exposes a remote MCP server over Streamable HTTP. Its tools let MCP clients inspect workspaces, retrieve templates, validate proposed actions, and apply flow changes.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.flowcastle.ai/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://api.flowcastle.ai/api/mcpAuth required

Tools

58

This tool takes no parameters.

Details

From the project README

Telegram bot templates + MCP server for AI bot development

Ready-to-use Telegram bot templates and an MCP server — build, edit, and deploy Telegram bots from Claude Code, Codex, Cursor, or any MCP-capable AI agent. No SDK boilerplate: describe the bot, and your agent assembles the flow.

Dragging a connection onto empty canvas to create a payment block, then configuring a Telegram Stars product — no code

FlowCastle is a visual workflow builder for Telegram bots and web chat: flows, triggers, conditions, AI steps, payments (Stripe / YooKassa / Telegram Stars), broadcasts, drip sequences, and integrations (Gmail, Google Sheets, Notion, OpenAI, …) — with a REST API and an MCP server, so bot development works straight from your AI coding agent. Every block an agent creates through MCP is the same block you can drag, wire, and edit visually.

This repo is for developers. It contains:

PathWhat it is
templates/23 production bot templates as JSON — the same source that powers the template gallery and the MCP get_flow_example tool
mcp/MCP server reference: endpoint, auth, all 16 tools, and a snapshot of the flow-action schema used by apply_actions

Build a bot from your AI agent (MCP)

FlowCastle exposes an MCP server over Streamable HTTP:

POST https://api.flowcastle.ai/api/mcp
Authorization: Bearer <your-application-api-key>   # starts with app_

Get a key: sign up → create an application → API page → MCP tab.

Claude Code

export FLOWCASTLE_MCP_TOKEN='<your-application-api-key>'

claude mcp add --transport http flowcastle https://api.flowcastle.ai/api/mcp \
  --header "Authorization: Bearer $FLOWCASTLE_MCP_TOKEN"

Codex

codex mcp add flowcastle \
  --url https://api.flowcastle.ai/api/mcp \
  --bearer-token-env-var FLOWCASTLE_MCP_TOKEN

Cursor / any MCP client (JSON config)

{
  "mcpServers": {
    "flowcastle": {
      "type": "http",
      "url": "https://api.flowcastle.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer <your-application-api-key>"
      }
    }
  }
}

Then just ask your agent things like:

"Look at my FlowCastle workspace and add a lead-qualification flow: greet on /start, ask three button questions, save answers to contact variables, and notify me."

The agent reads your workspace with get_workspace_summary / get_flow_context, drafts a batch of flow-builder actions, checks it with validate_actions, and applies it with apply_actions. See mcp/README.md for the full tool reference.

Templates

Each JSON file in templates/ is a complete bot: metadata (title, summary, use-cases, suggested variables, required modules) plus a schemaExample.actions array — an ordered batch of create_flow / create_block / create_link / create_variable operations in the exact format apply_actions accepts.

Three ways to use them:

  1. One-click install from the gallery: flowcastle.ai/templates
  2. Via MCP — ask your agent to search_flow_examples / get_flow_example and apply one (optionally customized) to your workspace
  3. As reference — study how real flows wire triggers, conditions, wait-for-reply steps, payments, and AI blocks

Full index and format description: templates/README.md.

REST Public API

Application-scoped REST API for contacts, contact variables, goal events, flow sends, and broadcasts:

Auth uses the same app_… application key (Authorization: Bearer or X-API-Key).

Guides

Step-by-step builds on the FlowCastle blog:

Links

Contributing

Found a bug in a template, or built a flow worth sharing? Open an issue or PR — templates are plain JSON, and validate_actions (via MCP) will tell you if a batch is well-formed.

License

The contents of this repository are licensed under the MIT License.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.