AI Agent for Riza MCP
Integrate Riza MCP Server to empower your AI workflows with secure, isolated code execution and dynamic tool management. Riza MCP wraps the Riza API, giving your LLMs access to code creation, execution, and management endpoints—all seamlessly and securely. Unlock scalable, real-time code interpretation for your AI agents, automate tool lifecycle, and maximize productivity with robust API connectivity.
Seamless Secure Code Execution
Riza MCP enables your AI agents to execute code securely via isolated environments, leveraging the Riza API. Dynamically create, execute, and manage tools—unlocking powerful automation and rapid prototyping, all with enterprise-grade security.
- Isolated Execution.
- Run LLM-generated code in secure, sandboxed environments to eliminate risk and maintain compliance.
- Tool Creation API.
- Easily create reusable code tools programmatically with the Riza Tools API.
- Instant Code Execution.
- Execute arbitrary or saved code on-demand, enabling real-time AI workflows.
- Tool Management.
- Fetch, list, and edit tools for dynamic AI-driven operations.
Flexible Tool Lifecycle Management
Empower your LLM applications to create, edit, fetch, and manage tools directly via the Riza MCP endpoints. Streamline the tool lifecycle—from development to deployment—within your AI agent infrastructure.
- Create & Edit Tools.
- Rapidly build and refine code tools as your AI use cases evolve.
- Fetch & List Tools.
- Access, review, and organize all saved tools for full visibility and control.
- Customizable Integration.
- Adapt Riza MCP to various clients, including Claude Desktop, for tailored AI agent experiences.
Enterprise-Ready Security & Scalability
Benefit from enterprise-grade API security while scaling code execution for any AI workload. Riza MCP’s robust endpoints and secure key management ensure safe, reliable integration in mission-critical environments.
- API Key Security.
- Protect sensitive operations with secure API key management and encrypted connections.
- Scalable Infrastructure.
- Effortlessly scale code interpretation to match your AI agent demands.
MCP INTEGRATION
Available Riza MCP Integration Tools
The following tools are available as part of the Riza MCP integration:
- create_tool
Create and save new tools by providing code, enabling secure execution and reuse.
- fetch_tool
Retrieve saved tools, including their source code, for inspection or editing purposes.
- execute_tool
Execute a saved tool securely using Riza's code interpreter API.
- edit_tool
Modify existing saved tools to update their code or metadata.
- list_tools
List all available saved tools accessible to your account.
- execute_code
Run arbitrary code securely without saving it as a tool, enabling quick code execution.
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What is Riza
Riza is an AI-first infrastructure platform designed to make AI applications more powerful and reliable by allowing large language models (LLMs) to safely execute code. With Riza, LLMs can run code in secure, isolated environments, ensuring that sensitive systems and data remain protected. Riza provides an API-first design so developers can easily integrate code execution capabilities into their AI workflows using RESTful APIs or SDKs for Python, TypeScript, and Go. The platform offers ultra-fast code execution with no cold starts, robust security controls for environment variables and network access, and seamless scaling to billions of executions per month. Riza is trusted by AI-native companies to efficiently run, evaluate, and manage LLM-generated code, both in the cloud or via on-premises deployments.
Capabilities
What we can do with Riza
Riza enables AI agents and developers to execute code securely and efficiently at scale, unlocking new capabilities for AI-powered applications.
- Run LLM-generated code
- Securely execute code written by AI models in isolated environments.
- Analyze and visualize data
- Use Python libraries to analyze data and generate charts or graphs programmatically.
- Extract and transform data
- Write and run code that pulls structured data from diverse, previously-unseen sources.
- Enable end-user code execution
- Safely allow your users to submit and run their own custom code on your platform.
- Evaluate and test AI workflows
- Automatically run evals on generated code to ensure prompt or model changes actually work.
How AI agents benefit from Riza
AI agents benefit from Riza by gaining the ability to autonomously write, execute, and evaluate code with robust security and speed. Riza’s infrastructure allows agents to experiment, create reusable tools, handle data analysis, and transform data on-the-fly without risking production systems. By automating code execution and evaluation, agents become more capable, reliable, and efficient, accelerating innovation and reducing operational overhead for engineering teams.