agentic-ai
MCP server from sayantac/agentic-ai-mcp-server
claude mcp add --transport stdio sayantac-agentic-ai-mcp-server docker run -p 8081:8081 agentic-ai-mcp-server \ --env SERVER_PORT="Override the listening port (e.g., 8082)"
How to use
Agentic AI MCP Server is a Spring Boot application that provides AI-powered dog adoption scheduling services. It is packaged as a Docker image for easy deployment, and can also be run locally with Maven and Java. Once started, the server runs on a configurable port (default 8081) and exposes its capabilities via standard Spring Boot endpoints. Use Docker to run the pre-built image, or build locally to run the JAR file with Java. If you need to expose a different port, you can set the SERVER_PORT environment variable when starting the container (for example, to use 8082 instead of 8081). This server focuses on coordinating adoption scheduling with AI-assisted logic, enabling streamlined interactions for dog adoption workflows.
How to install
Prerequisites:
- Docker (recommended for quick setup)
- Java 21 and Maven 3.9+ if you prefer building locally
Option 1: Install and run with Docker
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Build or pull the Docker image (if you have a prebuilt image, you can skip the build step): docker build -t agentic-ai-mcp-server .
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Run the container (default port 8081): docker run -p 8081:8081 agentic-ai-mcp-server
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(Optional) Override the port using SERVER_PORT, for example to 8082: docker run -p 8082:8082 -e SERVER_PORT=8082 agentic-ai-mcp-server
Option 2: Run locally (build from source)
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Prerequisites: Java 21 and Maven 3.9+.
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Build the project: mvn clean package
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Run the packaged JAR: java -jar target/agentic-ai-mcp-server-0.0.1-SNAPSHOT.jar
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By default, the server will listen on port 8081. To change the port, set SERVER_PORT in your environment before launching the app, or pass the appropriate JVM/system properties as needed.
Additional notes
Notes:
- The default service port is 8081; you can override it with the SERVER_PORT environment variable when using Docker.
- Docker is the recommended deployment method per the README; the image name used in instructions is agentic-ai-mcp-server.
- If you build locally, ensure you are using Java 21 and Maven 3.9+ as specified in the development prerequisites.
- When mapping ports in Docker, ensure the host port is available and not already in use by another service.
- No npm package is specified for this server (null npm package in this documentation).