Merge pull request #39 from stickerdaniel/fix/uvx-import-structure

Fix import structure for uvx installation

Author: stickerdaniel

Dockerfile

@@ -25,5 +25,5 @@ RUN adduser -D -u 1000 mcpuser && chown -R mcpuser:mcpuser /app
 USER mcpuser
 
 # Set entrypoint and default arguments
-ENTRYPOINT ["uv", "run", "main.py"]
+ENTRYPOINT ["uv", "run", "-m", "linkedin_mcp_server"]
 CMD []

README.md

@@ -64,7 +64,7 @@ Suggest improvements for my CV to target this job posting https://www.linkedin.c
         "stickerdaniel/linkedin-mcp-server:latest"
       ],
       "env": {
-        "LINKEDIN_COOKIE": "XXXXXX..."
+        "LINKEDIN_COOKIE": "li_at=YOUR_COOKIE_VALUE"
       }
     }
   }
@@ -120,7 +120,7 @@ Copy the cookie from the output and set it as `LINKEDIN_COOKIE` in your client c
 **HTTP Mode Example (for web-based MCP clients):**
 ```bash
 docker run -it --rm \
-  -e LINKEDIN_COOKIE="your_linkedin_cookie" \
+  -e LINKEDIN_COOKIE="li_at=YOUR_COOKIE_VALUE" \
   -p 8080:8080 \
   stickerdaniel/linkedin-mcp-server:latest \
   --transport streamable-http --host 0.0.0.0 --port 8080 --path /mcp
@@ -216,7 +216,7 @@ If you have [uv](https://docs.astral.sh/uv/) installed, you can run the LinkedIn
 uvx --from git+https://github.com/stickerdaniel/linkedin-mcp-server linkedin-mcp-server --help
 
 # Run with your LinkedIn cookie
-uvx --from git+https://github.com/stickerdaniel/linkedin-mcp-server linkedin-mcp-server --cookie "your_linkedin_cookie"
+uvx --from git+https://github.com/stickerdaniel/linkedin-mcp-server linkedin-mcp-server --cookie "li_at=YOUR_COOKIE_VALUE"
 ```
 
 **Client Configuration for uvx:**
@@ -231,7 +231,7 @@ uvx --from git+https://github.com/stickerdaniel/linkedin-mcp-server linkedin-mcp
         "linkedin-mcp-server"
       ],
       "env": {
-        "LINKEDIN_COOKIE": "your_linkedin_cookie_here"
+        "LINKEDIN_COOKIE": "li_at=YOUR_COOKIE_VALUE"
       }
     }
   }
@@ -293,7 +293,7 @@ uv run pre-commit install
 # 5. Start the server once manually
 # You will be prompted to enter your LinkedIn credentials, and they will be securely stored in your OS keychain
 # Once logged in, your cookie will be stored in your OS keychain and used for subsequent runs until it expires
-uv run main.py --no-headless --no-lazy-init
+uv run -m linkedin_mcp_server --no-headless --no-lazy-init
 ```
 
 ### Local Setup Help
@@ -316,7 +316,7 @@ uv run main.py --no-headless --no-lazy-init
 
 **HTTP Mode Example (for web-based MCP clients):**
 ```bash
-uv run main.py --transport streamable-http --host 127.0.0.1 --port 8000 --path /mcp
+uv run -m linkedin_mcp_server --transport streamable-http --host 127.0.0.1 --port 8000 --path /mcp
 ```
 
 **Claude Desktop:**
@@ -325,7 +325,7 @@ uv run main.py --transport streamable-http --host 127.0.0.1 --port 8000 --path /
   "mcpServers": {
     "linkedin": {
       "command": "uv",
-      "args": ["--directory", "/path/to/linkedin-mcp-server", "run", "main.py"]
+      "args": ["--directory", "/path/to/linkedin-mcp-server", "run", "-m", "linkedin_mcp_server"]
     }
   }
 }

linkedin_mcp_server/__main__.py

@@ -1,8 +1,7 @@
 #!/usr/bin/env python3
 """Entry point for linkedin-mcp-server command."""
 
-# Import main function from the main module at package root
-import main
+from linkedin_mcp_server.cli_main import main
 
 if __name__ == "__main__":
-    main.main()
+    main()

linkedin_mcp_server/cli.py

@@ -46,7 +46,8 @@ def print_claude_config() -> None:
         "--directory",
         current_dir,
         "run",
-        "main.py",
+        "-m",
+        "linkedin_mcp_server",
         "--no-setup",
     ]
 

main.py renamed to linkedin_mcp_server/cli_main.py

@@ -1,6 +1,6 @@
-# main.py
+# linkedin_mcp_server/cli_main.py
 """
-LinkedIn MCP Server - Main application entry point.
+LinkedIn MCP Server - Main CLI application entry point.
 
 Implements a three-phase startup:
 1. Authentication Setup Phase - Credential validation and session establishment
@@ -278,7 +278,9 @@ def get_version() -> str:
         import os
         import tomllib
 
-        pyproject_path = os.path.join(os.path.dirname(__file__), "pyproject.toml")
+        pyproject_path = os.path.join(
+            os.path.dirname(os.path.dirname(__file__)), "pyproject.toml"
+        )
         with open(pyproject_path, "rb") as f:
             data = tomllib.load(f)
             return data["project"]["version"]

pyproject.toml

@@ -13,15 +13,12 @@ dependencies = [
 ]
 
 [project.scripts]
-linkedin-mcp-server = "main:main"
+linkedin-mcp-server = "linkedin_mcp_server.cli_main:main"
 
 [build-system]
 requires = ["setuptools>=68.0", "wheel"]
 build-backend = "setuptools.build_meta"
 
-[tool.setuptools]
-py-modules = ["main"]
-
 [tool.setuptools.packages.find]
 include = ["linkedin_mcp_server*"]
 exclude = ["assets*", "docs*", "tests*"]