Praison AI
About
AI Agents framework with 64+ built-in MCP tools for search, memory, workflows, code execution, and file operations. Install via `uvx praisonai-mcp`
Details
- Author
- mervinpraison
- Categories
- Developer Tools, AI, Automation, Search
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Setup
Install Praison AI in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/mervinpraison/praisonai-mcp
Follow the installation instructions in the repository README, then restart your MCP client.
An MCP server that exposesPraisonAIAI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.
- 🤖AI Agents as Tools- Run PraisonAI agents directly from MCP
- 🔄Workflow Orchestration- Multi-step agent workflows
- 🛠️64 Built-in Tools- Complete coverage of all PraisonAI features
- ⚡Easy Setup- Works withuvxorpip install
# Using uvx (Recommended) uvx praisonai-mcp # Using pip pip install praisonai-mcp
Unified web search with automatic fallback across multiple providers:
Config file:~/Library/Application Support/Claude/claude_desktop_config.json(macOS)
{ "mcpServers": { "praisonai": { "command": "uvx", "args": ["praisonai-mcp"], "env": { "OPENAI_API_KEY": "your-openai-api-key", "TAVILY_API_KEY": "your-tavily-api-key" } } } }
{ "inputs": [ { "type": "promptString", "id": "openai-key", "description": "OpenAI API Key", "password": true } ], "servers": { "praisonai": { "command": "uvx", "args": ["praisonai-mcp"], "env": { "OPENAI_API_KEY": "${input:openai-key}" } } } }
{ "mcpServers": { "praisonai": { "command": "uvx", "args": ["praisonai-mcp"], "env": { "OPENAI_API_KEY": "your-openai-api-key" } } } }
Config file:~/.codeium/windsurf/mcp_config.json
{ "mcpServers": { "praisonai": { "command": "uvx", "args": ["praisonai-mcp"], "env": { "OPENAI_API_KEY": "your-openai-api-key" } } } }
Open Command Palette → "Cline: MCP Servers" → Add:
{ "mcpServers": { "praisonai": { "command": "uvx", "args": ["praisonai-mcp"], "env": { "OPENAI_API_KEY": "your-openai-api-key" } } } }
{ "experimental": { "modelContextProtocolServers": [ { "transport": { "type": "stdio", "command": "uvx", "args": ["praisonai-mcp"] } } ] } }
Config file:~/.config/zed/settings.json
{ "context_servers": { "praisonai": { "command": { "path": "uvx", "args": ["praisonai-mcp"] } } } }
claude mcp add praisonai -- uvx praisonai-mcp
python -m praisonai_mcp --sse --port 8080
- 📖Documentation
- 🐙PraisonAI
- 📦MCP Registry
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