Automate Textcortex tasks and workflows through Rube MCP tool discovery.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "textcortex-automation" skill from askskill: 1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/textcortex-automation/SKILL.md 2. Save it as ~/.claude/skills/textcortex-automation/SKILL.md 3. Reload skills and tell me it's ready
When developers integrate Textcortex into an automation flow, they can first discover the current tools and schemas before execution to avoid failures caused by interface changes.
Content or marketing teams can use Rube MCP to consistently check connection status, reuse sessions, and run Textcortex-related operations with less repeated setup.
When tasks require bulk execution or paginated results, users can continue fetching additional pages and reuse the same session throughout the workflow.
The README explains how to automate Textcortex operations through Composio's toolkit via Rube MCP. It covers prerequisites, connection setup and authorization, the required pattern of discovering tools with RUBE_SEARCH_TOOLS, checking connection status with RUBE_MANAGE_CONNECTIONS, and executing tasks with RUBE_MULTI_EXECUTE_TOOL. It also highlights key pitfalls such as schema changes, mandatory memory fields, session reuse, pagination handling, and avoiding hardcoded tool slugs or arguments.
Automate Textcortex operations through Composio's Textcortex toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/textcortex
RUBE_MANAGE_CONNECTIONS with toolkit textcortexRUBE_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 textcortexAlways discover available tools before executing workflows:
RUBE_SEARCH_TOOLS
queries: [{use_case: "Textcortex 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 Textcortex task"}]
session: {id: "existing_session_id"}
RUBE_MANAGE_CONNECTIONS
toolkits: ["textcortex"]
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 Textcortex-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit textcortex |
| 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 |
Powered by Composio
It uses Rube MCP to access Composio's Textcortex toolkit for automating Textcortex-related operations. The docs emphasize searching for tools first, then executing with the returned schemas.
You need Rube MCP connected and RUBE_SEARCH_TOOLS available. You also need to create and activate a 'textcortex' connection through RUBE_MANAGE_CONNECTIONS.
Because tool schemas may change, the docs explicitly warn against hardcoding tool slugs or arguments. Searching first gives you the latest fields, execution plans, and known pitfalls.
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