Automate Sendloop tasks through Rube MCP with tool discovery first.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "sendloop-automation" skill from askskill: 1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/sendloop-automation/SKILL.md 2. Save it as ~/.claude/skills/sendloop-automation/SKILL.md 3. Reload skills and tell me it's ready
When marketers want AI to handle repetitive Sendloop operations, they can use Rube MCP to discover the right tools first and then run the workflow. This reduces manual parameter lookup and repetitive work.
After connecting Rube MCP in a client, developers can follow the documented pattern: discover tool schemas, verify the connection, and then execute Sendloop tools. This is useful when schemas may change over time.
Before running a Sendloop workflow, users can confirm the connection is ACTIVE and use exact field names and types from the discovered schemas. This reduces failures caused by incomplete setup or argument mismatches.
The README explains how to automate Sendloop operations through Composio's toolkit via Rube MCP. It covers prerequisites, connection and authorization steps, and the recommended workflow: search tools first, verify the Sendloop connection, then execute with schema-compliant arguments. It also highlights common pitfalls such as changing schemas, required memory fields, session reuse, and pagination handling.
Automate Sendloop operations through Composio's Sendloop toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/sendloop
RUBE_MANAGE_CONNECTIONS with toolkit sendloopRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit sendloopAlways discover available tools before executing workflows:
RUBE_SEARCH_TOOLS
queries: [{use_case: "Sendloop operations", known_fields: ""}]
session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Sendloop task"}]
session: {id: "existing_session_id"}
RUBE_MANAGE_CONNECTIONS
toolkits: ["sendloop"]
session_id: "your_session_id"
RUBE_MULTI_EXECUTE_TOOL
tools: [{
tool_slug: "TOOL_SLUG_FROM_SEARCH",
arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"
RUBE_SEARCH_TOOLSRUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing toolsmemory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with Sendloop-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit sendloop |
| Execute | RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs |
| Bulk ops | RUBE_REMOTE_WORKBENCH with run_composio_tool() |
| Full schema | RUBE_GET_TOOL_SCHEMAS for tools with schemaRef |
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You need Rube MCP connected and `RUBE_SEARCH_TOOLS` available first. You also need an active Sendloop connection set up through `RUBE_MANAGE_CONNECTIONS`.
Because tool slugs, input fields, and schemas may change, the docs explicitly say not to hardcode them. Calling `RUBE_SEARCH_TOOLS` first gives you the current tools, schemas, and known pitfalls.
The docs say no API key is needed when adding `https://rube.app/mcp` as the MCP server endpoint. However, you still need to authorize the sendloop toolkit connection and confirm it is ACTIVE.
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