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Authenticate, inspect capabilities, check credits, and run Risha.ai generation requests.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Risha.ai MCP Server" yet — see the docs or source repo.
Connect to the Risha.ai MCP Server, authenticate first, then list the available model capabilities for my account and check the remaining credits. Return a table with capability name, purpose, and credit status.
A structured table showing authentication status, available capabilities, and remaining account credits.
Use the Risha.ai MCP Server to submit a generation request for 'write three ad copies for a new e-commerce product' and automatically poll until the job is complete. Return the final output and job status.
The output includes job submission details, polling progress, and the final three generated ad copies.
Through the Risha.ai MCP Server, check which generation capabilities the current API supports and determine whether 'bulk text generation' is feasible; if yes, provide a recommended calling flow.
A capability-fit assessment plus a recommended call flow for the requested use case.
Securely run code and manage reusable tools for LLM-driven workflows.
View tenant-scoped AI credit usage data for admin users.
Query normalized usage, cost, and dashboard data across OpenAI and Anthropic.
Connect AI to Redash for read-only queries, dashboards, and alerts.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Expose modular retrieval and reasoning tools to AI assistants through MCP.