Skill UI

Automate Zoho CRM tasks through Composio’s Rube MCP toolkit: connect via RUBE_MANAGE_CONNECTIONS, search modules, and run workflows for searches, record creation, updates, conversions, and tagging with schema-aware parameters.

Documents the current unavailability of Zoho Desk tooling in Composio, outlines setup steps for MCP discovery, and suggests alternative helpdesk automation toolkits while waiting for Zoho integrations.

Automates Zoho Inventory workflows by orchestrating Composio toolkit calls through the Rube MCP interface, guiding you to first search tools, verify connections, and execute multi-step operations with schema compliance and session reuse.

Automates Zoho Invoice workflows using the Rube MCP-powered Composio toolkit, covering tool discovery, connection validation, and schema-compliant execution sequences.

Automates Zoho Mail operations via Rube MCP and Composio toolkits, guiding tool discovery, connection validation, and schema-compliant multi-tool execution for reliable workflows.

Automates Zoom meeting scheduling, webinars, recordings, participant tracking, and reporting via Composio’s Rube MCP toolkit, ensuring tool schemas are discovered before each workflow.

Automates Zoominfo operations through Composio Rube MCP, guiding discovery, connection checks, and execution patterns with mandatory searches before every tool use.

Automate Zylvie operations via Composio’s Zylvie toolkit through the Rube MCP workflow, covering MCP setup, connection checks, tool discovery, execution patterns, and safety steps for schema compliance and pagination.

Guides orchestrating Zyte API actions through the Composio Zyte API toolkit via Rube MCP; emphasizes searching tools first, establishing an active connection, and executing schema-compliant workflows with dedicated session and memory handling.

BGPT Paper Search queries the remote MCP server to retrieve structured experimental data from full-text studies, returning methods, results, sample sizes, quality scores, and conclusions for efficient literature reviews and evidence synthesis.

A powerful tool to scaffold and ship production-ready Model Context Protocol (MCP) servers directly from OpenAPI specifications. It supports Python and TypeScript, ensuring schema validation, safe evolution, and robust tool definition generation, eliminating the need for manual wrapper coding. Use it to expose existing REST APIs to LLM agents or build shared tool integrations.

This comprehensive guide details how to set up and configure AWS Machine Capability Platform (MCP) servers for advanced AI agent use. It provides two options: a Full AWS MCP Server (for API calls and documentation search) and a basic AWS Documentation MCP (for documentation search only). Instructions cover prerequisites, configuration methods (via JSON settings), necessary IAM permissions, and troubleshooting tips for seamless integration of AWS services into AI workflows.