mcp-compass
mcp-compass is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
If you are the rightful owner of mcp-compass and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
MCP Compass is a discovery and recommendation service for exploring Model Context Protocol servers using natural language queries.
EvaluationTotal Score: 4/10
Evaluation Summary
- Strengths:
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- Transparency: The agent consistently acknowledges its limitations when it cannot find specific MCP servers that meet the user's requirements. This honesty helps set realistic expectations for the user.
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- Identification of MCP Servers: The agent demonstrates an awareness of available MCP servers, listing several options for each query, even if they do not fully align with the user's specific needs.
- Weaknesses:
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- Misalignment with User Requirements: The agent frequently provides MCP server recommendations that do not align with the user's specific focus, such as service mesh capabilities, AWS integration, multi-cloud strategies, monitoring and observability, and enhanced security features.
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- Omission of Relevant MCP Servers: The agent fails to identify existing MCP servers that are directly relevant to the user's queries, missing opportunities to provide more accurate and helpful recommendations.
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- Lack of Alternative Solutions: The agent does not suggest alternative tools or frameworks that could address the user's needs when specific MCP servers are not available, leaving queries partially unaddressed.
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Suggestions for Improvement
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- Enhance Knowledge Base: Update the agent's knowledge base to include more comprehensive information about MCP servers, particularly those that align with specific user requirements.
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- Incorporate Alternative Solutions: When specific MCP servers are not available, suggest alternative tools or frameworks that could meet the user's needs.
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Final Score
- The agent's performance is below average due to its frequent misalignment with user requirements and omission of relevant MCP servers, resulting in a final score of 4/10.
Test case 1
Score: 5/10Can you recommend an MCP server that would be suitable for managing microservices in a Kubernetes environment with a focus on service mesh capabilities, particularly for traffic management and security features?Here are some MCP servers that could be suitable for managing microservices in a Kubernetes environment, particularly with a focus on service mesh capabilities, traffic management, and security features:
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K8S-Interactive-Mcp
- Description: A Kubernetes MCP server that allows you to run kubectl commands with configurable kubeconfig paths and provides advanced command interpretation.
- GitHub URL: K8S-Interactive-Mcp
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Kubernetes MCP Server
- Description: Connects to a Kubernetes cluster and enables management of pods, deployments, and services.
- GitHub URL: Kubernetes MCP Server
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Metoro-Mcp-Server
- Description: This server allows interaction with Kubernetes clusters through the Claude Desktop App using the Model Context Protocol (MCP).
- GitHub URL: Metoro-Mcp-Server
These options should provide you with the tools necessary for managing microservices in a Kubernetes environment, especially with regards to service mesh functionalities. If you have specific requirements or need further assistance, feel free to ask!
Identification of Relevant Tools: The response lists three MCP servers—K8S-Interactive-Mcp, Kubernetes MCP Server, and Metoro-Mcp-Server—that are designed to interact with Kubernetes clusters. These tools can facilitate the management of microservices within Kubernetes.
Misalignment with Service Mesh Focus: The user's query specifically emphasizes service mesh capabilities, particularly traffic management and security features. The listed MCP servers primarily focus on executing Kubernetes commands and managing resources, but they do not inherently provide service mesh functionalities such as traffic routing, load balancing, or security policies.
Lack of Service Mesh Recommendations: The response omits mentioning established service mesh solutions like Istio or Cilium, which are specifically designed to enhance traffic management and security within Kubernetes environments. For instance, Istio offers features like mutual TLS for secure service-to-service communication and fine-grained traffic control, aligning closely with the user's requirements. (ostridelabs.com)
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Test case 2
Score: 4/10Can you recommend an MCP server that integrates seamlessly with AWS services, particularly for deploying and managing microservices in a hybrid cloud environment?Here are some MCP servers that could be beneficial for integrating with AWS services, especially for deploying and managing microservices in a hybrid cloud environment:
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Cloudflare
- Description: This MCP server integrates with the Cloudflare API, supporting DNS, Workers, and security services. While it is not AWS-specific, it can work alongside AWS services in a hybrid environment.
- GitHub URL: Cloudflare MCP Server
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Mcp-Server-Toolhouse
- Description: This server connects MCP clients with Toolhouse tools, enabling seamless integration with external tools and data sources. It may not be AWS-specific, but it can facilitate interactions with various services in a hybrid cloud setup.
- GitHub URL: Toolhouse MCP Server
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Google Drive
- Description: This MCP server is for Google Drive integration, providing file management and sharing capabilities. Again, while not directly AWS-related, it can be part of a broader hybrid cloud architecture.
- GitHub URL: Google Drive MCP Server
While these servers have varying degrees of relevance to AWS, they can be integrated into a hybrid cloud environment depending on your specific needs. If you're looking for something more AWS-centric, please let me know, and I can refine the search!
Identification of Relevant MCP Servers: The agent lists several MCP servers, such as Cloudflare MCP Server, Toolhouse MCP Server, and Google Drive MCP Server, which are designed to interact with specific platforms and services. This demonstrates an awareness of available MCP servers.
Misalignment with AWS Integration Focus: The user's query specifically seeks MCP servers that integrate seamlessly with AWS services for deploying and managing microservices in a hybrid cloud environment. The listed MCP servers primarily focus on other platforms (e.g., Cloudflare, Toolhouse, Google Drive) and do not inherently provide integration with AWS services.
Omission of AWS-Specific MCP Servers: The response fails to mention AWS-specific MCP servers that are designed to facilitate integration with AWS services. For instance, AWS has introduced MCP servers for AWS Lambda, Amazon ECS, and Amazon EKS, which are tailored for managing microservices within AWS environments. These servers enable AI-assisted application development by providing real-time, contextual understanding of AWS services. (AWS Announcement)
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Test case 3
Score: 4/10Can you identify an MCP server that supports multi-cloud strategies, allowing integration and management of microservices across AWS, Azure, and Google Cloud Platform?I found a few MCP servers, but none specifically target multi-cloud strategies that integrate and manage microservices across AWS, Azure, and Google Cloud Platform. Here are the servers I came across:
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Google Drive
- Description: MCP server for Google Drive integration, providing file management and sharing capabilities.
- GitHub URL: Google Drive MCP Server
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Cloudflare
- Description: MCP server for Cloudflare API integration with support for DNS, Workers, and security services.
- GitHub URL: Cloudflare MCP Server
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Google Maps
- Description: MCP server for using the Google Maps API.
- GitHub URL: Google Maps MCP Server
Unfortunately, these servers don't meet your specific requirement for multi-cloud integration. If you'd like, I can continue searching or help you refine your requirements for better results.
Acknowledgment of Limitations: The agent transparently states that it did not find MCP servers specifically targeting multi-cloud integration across AWS, Azure, and Google Cloud Platform. This honesty sets appropriate expectations for the user.
Overlooked Relevant MCP Servers: Despite the claim of not finding suitable MCP servers, there are existing solutions that facilitate multi-cloud management. For instance:
mcp_multi_cloud: This MCP server is designed to run on public clouds like AWS and Azure, enabling AI assistants to interact with resources across these platforms. Source
k8m: This MCP server provides multi-cluster Kubernetes management and operations, supporting both standard and custom resources, which can be deployed across various cloud providers. Source
Lack of Alternative Solutions: The response does not suggest alternative approaches or tools that could assist in managing microservices across multiple cloud platforms, leaving the user's query partially unaddressed.
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Test case 4
Score: 4/10Can you suggest an MCP server that offers robust monitoring and observability features for microservices, particularly focusing on real-time logging and metrics collection?Here are a few MCP servers that can help with monitoring and observability for microservices, focusing on real-time logging and metrics collection:
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Mcp-Server-Prometheus
- Description: A TypeScript-based MCP server that integrates with Prometheus to provide metrics and data through the Model Context Protocol (MCP).
- GitHub URL: Mcp-Server-Prometheus
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Tinybird
- Description: An MCP server that interacts with a Tinybird Workspace, offering data querying, pushing, and analytics capabilities.
- GitHub URL: Tinybird
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Mcp-Server-Toolhouse
- Description: This server connects MCP clients with Toolhouse tools, enabling seamless integration with external tools and data sources.
- GitHub URL: Mcp-Server-Toolhouse
These options provide varying levels of integration and capabilities, so you can choose one based on your specific needs for monitoring and observability in your microservices architecture.
Identification of Relevant MCP Servers: The agent lists several MCP servers, such as Mcp-Server-Prometheus, Tinybird, and Mcp-Server-Toolhouse, which are designed to interact with specific platforms and services. This demonstrates an awareness of available MCP servers.
Misalignment with Monitoring and Observability Focus: The user's query specifically seeks MCP servers that offer robust monitoring and observability features for microservices, particularly focusing on real-time logging and metrics collection. The listed MCP servers primarily focus on other platforms (e.g., Prometheus, Tinybird, Toolhouse) and do not inherently provide integration with monitoring and observability features.
Omission of Relevant MCP Servers: The response fails to mention MCP servers that are designed to facilitate monitoring and observability features. For instance, the Metoro Kubernetes Observability MCP Server enables AI assistants to query and analyze Kubernetes telemetry data collected via eBPF instrumentation for observability and optimization. Source
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Test case 5
Score: 4/10Can you identify an MCP server that provides enhanced security features for microservices, such as automated vulnerability scanning and compliance checks?I found a few MCP servers, but none of them specifically focus on enhanced security features for microservices, such as automated vulnerability scanning and compliance checks. Here are the ones I found:
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Cli-Mcp-Server
- Description: A secure CLI MCP server implementation offering strict command execution controls and robust security features for enabling protected command-line operations.
- GitHub URL: Cli-Mcp-Server
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Mcp-Server-Toolhouse
- Description: MCP server to connect MCP clients with Toolhouse tools, enabling seamless integration with external tools and data sources.
- GitHub URL: Mcp-Server-Toolhouse
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Mcp-Guide
- Description: A beginner-friendly MCP server that provides explanations, interactive examples, and a directory of available servers to assist developers in understanding MCP concepts.
- GitHub URL: Mcp-Guide
Although these servers have some security features, they may not specifically address your need for automated vulnerability scanning and compliance checks. If you have any specific requirements or if you'd like to explore more options, please let me know!
Acknowledgment of Limitations: The agent transparently states that it did not find MCP servers specifically focusing on enhanced security features for microservices, setting appropriate expectations for the user.
Overlooked Relevant MCP Servers: Despite the claim of not finding suitable MCP servers, there are existing solutions that facilitate security features for microservices. For instance:
CyberMCP: This MCP server provides API security testing tools, including authentication testing, SQL injection detection, data leakage analysis, and vulnerability scanning with detailed severity ratings and remediation recommendations. Source
Trivy Security Scanner MCP Server: This server integrates Trivy's security scanning capabilities into development workflows via the Model Context Protocol (MCP), enabling automated vulnerability detection and remediation for projects using various dependencies. Source
Lack of Alternative Solutions: The response does not suggest alternative approaches or tools that could assist in enhancing security features for microservices, leaving the user's query partially unaddressed.
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