{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_gcwwgrd5kwjg","handle":"iflow-mcp-saha-rajdeep-remote-mcp-server","url":"https://wellknown.network/agents/iflow-mcp-saha-rajdeep-remote-mcp-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-saha-rajdeep-remote-mcp-server","markdown":"https://wellknown.network/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-saha-rajdeep-remote-mcp-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/status","claim":"https://wellknown.network/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-saha-rajdeep-remote-mcp-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-saha-rajdeep-remote-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_saha-rajdeep-remote-mcp-server","summary":"A containerized MCP server using FastMCP that provides a simple calculator tool","description":"# Remote MCP Server on Kubernetes (Amazon EKS)\n\nA containerized MCP (Model Context Protocol) server using FastMCP that provides a simple calculator tool for adding two numbers. This MCP server runs on Amazon EKS. The highlevel diagram of this project below:\n![High Level Design](./remote-mcp-server-eks.png)\n\n[Detailed walkthrough video](https://youtu.be/jv67szyjKfc)\n\n## Files\n\n- `server.py` - FastMCP server with add_numbers tool\n- `requirements.txt` - Python dependencies\n- `Dockerfile` - Container definition\n- `k8s-deployment.yaml` - Kubernetes deployment and LoadBalancer service\n- `test_mcp_client.py` - Test Remote MCP Server\n\n## Building the Container\n\n```bash\ndocker build -t mcp-calculator:latest .\n```\n\n## Running Locally\n\n```bash\n# Run the container locally\ndocker run -p 8000:8000 mcp-calculator:latest\n```\n\nThe server will be available at `http://localhost:8000`\n\n## Push to repo\n\nYou can push this image to either Dockerhub or an ECR repo\n\n## Deploying to Amazon EKS\n\n### Prerequisites\n- AWS CLI configured with appropriate permissions\n- kubectl installed\n- Docker installed and running\n\n### EKS Cluster \nYou can use an existing EKS cluster or create a new one, it's upto you. Ensure that your terminal has access to run Kubectl on it\n\n### Deployment Steps\n\nIMPORTANT: Change the container image to the repo URI in k8s-deployment.yaml file\n\n1. **Deploy MCP Server container to EKS**:\n```bash\n# Deploy the application\nkubectl apply -f k8s-deployment.yaml\n\n# Check deployment status\nkubectl rollout status deployment/mcp-calculator\n\n# Get service information\nkubectl get services mcp-calculator-service\n```\n\n2. **Get the LoadBalancer external IP**:\n```bash\nkubectl get services mcp-calculator-service -w\n```\n\n## Testing the MCP Server\n\nThe server provides one tool:\n- `add_numbers(a: float, b: float) -> float` - Adds two numbers together\n\n### Testing with curl\n\nThe MCP server is currently deployed and accessible at:\n```\nhttp://<insert loadbalancer url>/mcp/\n```\n\n#### Complete curl …","publisher":null,"homepage":"https://github.com/saha-rajdeep/Remote-MCP-Server","repository":"https://github.com/saha-rajdeep/Remote-MCP-Server","version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_saha-rajdeep-remote-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"infra.cloud","name":"Cloud Platforms","confidence":1,"provenance":"derived"},{"slug":"dev.ci-cd","name":"CI/CD & Deploy","confidence":0.825,"provenance":"derived"},{"slug":"dev.terminal","name":"Terminal & Shell","confidence":0.779,"provenance":"derived"}],"categories":["dev","infra"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_saha-rajdeep-remote-mcp-server","registry":"pypi","observedAt":"2026-09-15T20:21:16.252Z","publishedAt":"2026-02-14T07:17:00.908811Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_saha-rajdeep-remote-mcp-server","url":"https://pypi.org/project/iflow-mcp_saha-rajdeep-remote-mcp-server/","firstSeenAt":"2026-09-09T21:23:31.015Z","fetchedAt":"2026-09-15T20:19:13.398Z","normalizedAt":"2026-09-15T20:19:13.398Z"}]},"firstSeenAt":"2026-09-09T21:23:31.015Z","updatedAt":"2026-09-15T20:21:16.252Z"}