Paws on MCP provides a Python implementation of the MCP specification. It exposes tools for managing AI agent contexts, including context creation, retrieval, and deletion. It connects to various storage backends via plugins. Developers use it to build AI agents that require context management, such as chatbots or virtual assistants.
Paws on MCP provides a Python implementation of the MCP specification. It exposes tools for managing AI agent contexts, including context creation, retrieval, and deletion. It connects to various storage backends via plugins. Developers use it to build AI agents that require context management, such as chatbots or virtual assistants.
pip install paws-on-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"hemanth-paws-on-mcp-github": {
"command": "uvx",
"args": [
"pip install paws-on-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from paws on mcp?"
No configuration required. This server works out of the box.
"What resources are available in paws on mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in paws on mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in paws on mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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