Toreleon cli (#22)

* Add CI/CD workflows for testing, version bumping, and PyPI publishing; enhance README with development and CI/CD details; implement comprehensive tests for MCPHub and MCPServers functionality.

* Enhance CI workflow by installing all extras with Poetry

* Refactor CI workflow to include version bumping and streamline package publishing using Poetry

* Update README to clarify MCPHub installation options with framework-specific dependencies

* Restrict pull request triggers to the release branch only

* Update CI workflow to enable fail-fast strategy and restrict Python versions to 3.12 only

* Refactor CI workflows to remove version bumping from CI and add tagging functionality; update README for clarity on automatic versioning and tagging process.

* Refactor CI workflows to integrate version bumping and ensure proper versioning before publishing; update version-bump workflow to set outputs for new version.

* Bump version to 0.1.6 in pyproject.toml

* Refactor CI workflows: remove version-bump workflow and integrate version extraction and tagging directly in the publish job; update package version to 0.1.7 in pyproject.toml

* Fix test data structure in TestMCPServersParams to match expected format

Updated the mock data in the test for _load_predefined_servers_params to reflect the correct structure, ensuring that the "mcpServers" key wraps the predefined server details. This change enhances the accuracy of the test and aligns it with the actual implementation.

* Add CLI commands and utilities for MCPHub configuration management

- Implemented CLI commands for initializing, adding, removing, and listing MCP servers.
- Created utility functions for loading and saving configuration files.
- Added tests for CLI commands to ensure proper functionality and error handling.

Author: toreleon

examples/with_config/test.py

@@ -1,26 +1,34 @@
 from mcphub import MCPHub
-import json
 
-async def main():
+server_name = "Gloomysunday28/mcp-server"
 
+async def framework_examples():
     hub = MCPHub()
 
+    # 1. OpenAI Agents Integration
     async with hub.fetch_openai_mcp_server(
-        mcp_name="MCP-Mirror/Automata-Labs-team_MCP-Server-Playwright",
+        mcp_name=server_name,
         cache_tools_list=True
     ) as server:
-        # Step 3: List available tools from the MCP server
-        # This shows what capabilities are available to your agent
         tools = await server.list_tools()
-        
-        # Pretty print the tools for better readability
-        tools_dict = [
-            dict(tool) if hasattr(tool, "__dict__") else tool for tool in tools
-        ]
-        print("Available MCP Tools:")
-        print(json.dumps(tools_dict, indent=2))
+        print(f"Tools from MCP server: {tools}")
+    # 2. LangChain Tools Integration
+    langchain_tools = await hub.fetch_langchain_mcp_tools(
+        mcp_name=server_name,
+        cache_tools_list=True
+    )
+    
+    print(f"LangChain tools from MCP server: {langchain_tools}")
+    
+    # 3. Autogen Adapters Integration
+    autogen_adapters = await hub.fetch_autogen_mcp_adapters(
+        mcp_name=server_name
+    )
+    # Use adapters with Autogen
+
+    print(f"Autogen adapters from MCP server: {autogen_adapters}")
 
 
 if __name__ == "__main__":
     import asyncio
-    asyncio.run(main())
+    asyncio.run(framework_examples())