Access and orchestrate multiple AI models through one unified gateway.
The available material is very limited, but the tool comes from an official registry, is open source, and has recent maintenance, which lowers overall risk. The absence of declared secrets and remote endpoints is a positive sign, but it has code-execution capability without README or permission details, so the overall posture is cautionary rather than high risk.
The material explicitly states that no keys or environment variables are required, and there is no request for API tokens, account credentials, or other sensitive authentication data; based on the available facts, credential exposure appears low.
No remote endpoint is declared, and the material does not describe connections to external services or sending user data to third parties; based on current information, there is no clear data-egress path.
The system checks indicate it has executes-code capability, meaning it may spawn local processes or execute code. This is a normal high-privilege capability for MCP tools and does not by itself justify a high-risk rating, but the missing README and lack of detail on what system capabilities it can invoke warrant caution and runtime restrictions.
The material does not specify what local files, directories, or other resources it can read or write; combined with its code-execution capability, it could theoretically access local data, but there is no evidence that it requests permissions beyond its stated purpose, so this is rated caution rather than risk.
Positive signals include an official registry source, an open-source repository that can be audited, and updates within the last year; these materially reduce supply-chain risk. Points of caution are the missing README, undeclared license, and very low community adoption (0 stars), which limit audit context and external validation.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.CSOAI-ORG/ai-gateway-mcp" MCP server from askskill: Run: claude mcp add 'io-github-csoai-org-ai-gateway-mcp' -- npx -y ai-gateway-mcp
Orchestrate multiple AI agents to automate complex workflows efficiently.
Use AI-powered ops tools for monitoring, troubleshooting, and automation.
Use AI to test APIs, inspect responses, and troubleshoot issues faster.
Bridge A2A governance into MCP workflows for managed AI integration.
Coordinate AI agents through negotiation for more efficient automated workflows.
Provides MCP-based support for building blockchain-related AI applications.