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Connect to Akamai APIs for edge diagnostics, debugging, and network analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-connector-for-akamai" yet — see the docs or source repo.
Connect to the Akamai APIs and inspect recent edge diagnostic data for a specified domain. Analyze abnormal cache hit rates, origin latency, or edge node errors, then provide troubleshooting recommendations.
A diagnostic summary, likely root causes, and prioritized troubleshooting recommendations.
Use the Akamai-related tools to analyze how this request is handled across the edge network, identify steps that may cause slowness or failures, and explain the evidence.
A request path analysis, identified problematic steps, and supporting technical explanations.
Summarize network analytics available from the Akamai APIs for the past 7 days, including latency, error rates, and regional differences, and highlight any important anomalous trends.
A network performance trend summary with key metric changes, anomalous regions, and suggested next actions.
Query Akamai Cloud account inventory, pricing, GPU availability, and limits in plain language.
Connect AI assistants to AWS resources and workflows through open-source MCP servers.
Connect to the mcp API via MCP to extend AI tool capabilities.
Connect SEO APIs to analyze backlinks, keywords, and website traffic trends.
Test MCP OAuth login and retrieve the authenticated user's identity and plan.
Browse AppCrane tools offline and proxy AI app deployment and management