Deployment: Dockerfile and Smithery config

Dockerfile

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+# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile
+# Start with a Python image that includes hatchling
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Copy the necessary files
+COPY pyproject.toml README.md /app/
+
+# Install the project's dependencies
+RUN pip install hatchling
+
+# Use hatchling to build the project
+RUN hatch build
+
+# Install the built project
+RUN pip install .
+
+# Expose necessary environment variables for LogSeq API
+ENV LOGSEQ_API_TOKEN=your_token_here
+ENV LOGSEQ_API_URL=http://localhost:12315
+
+# Set the entrypoint to the MCP server script
+ENTRYPOINT ["mcp-logseq"]

README.md

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 # MCP server for LogSeq
+[![smithery badge](https://smithery.ai/badge/mcp-logseq)](https://smithery.ai/server/mcp-logseq)
 
 MCP server to interact with LogSeq via its API.
 

smithery.yaml

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+# Smithery configuration file: https://smithery.ai/docs/config#smitheryyaml
+
+startCommand:
+  type: stdio
+  configSchema:
+    # JSON Schema defining the configuration options for the MCP.
+    type: object
+    required:
+      - logseqApiToken
+    properties:
+      logseqApiToken:
+        type: string
+        description: The API token for the LogSeq server.
+      logseqApiUrl:
+        type: string
+        default: http://localhost:12315
+        description: The URL for the LogSeq server.
+  commandFunction:
+    # A function that produces the CLI command to start the MCP on stdio.
+    |-
+    (config) => ({command: 'mcp-logseq', args: [], env: {LOGSEQ_API_TOKEN: config.logseqApiToken, LOGSEQ_API_URL: config.logseqApiUrl}})