Praison AI

★ 1

from MervinPraison

AI Agents framework with 64+ built-in MCP tools for search, memory, workflows, code execution, and file operations. Install via `uvx praisonai-mcp`

🔥🔥🔥🔥✓ VerifiedAccount requiredAdvanced setup

#automation #scraping #git #search #finance #news

PraisonAI MCP Server

An MCP server that exposes PraisonAI AI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.

Features

🤖 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 with uvx or pip install

Available Tools (64 Total)

🤖 Agent Tools (Primary)

The core tools for running AI agents:

Tool	Description
`run_agent`	Run a PraisonAI agent with a prompt
`run_research`	Deep research on any topic
`run_auto_agents`	Auto-generate and run agents for a task
`run_handoff`	Run task with agent handoff/delegation
`generate_agents_yaml`	Generate agents.yaml configuration

🔄 Workflow Tools

Orchestrate multi-step agent workflows:

Tool	Description
`workflow_run`	Run a multi-step workflow
`workflow_create`	Create a new workflow
`workflow_from_yaml`	Create workflow from YAML
`export_to_n8n`	Export workflow to n8n format

🌐 Search Tools (13 tools)

Unified web search with automatic fallback across multiple providers:

Tool	Description
`search_web`	Unified search - Auto-fallback across providers
`get_search_providers`	List available providers and their status
Tavily
`tavily_search`	AI-powered search (requires `TAVILY_API_KEY`)
`tavily_extract`	Extract content from URLs
Exa
`exa_search`	Semantic search (requires `EXA_API_KEY`)
`exa_search_contents`	Search with full content retrieval
`exa_find_similar`	Find similar pages to a URL
You.com
`ydc_search`	AI search with LLM-ready snippets (requires `YDC_API_KEY`)
`ydc_news`	Live news search
Free Providers
`duckduckgo_search`	DuckDuckGo search (no API key)
`wikipedia_search`	Wikipedia search
`arxiv_search`	arXiv academic papers
`searxng_search`	Self-hosted SearxNG meta search

🕷️ Crawl & Scrape Tools

Web crawling and content extraction:

Tool	Description
`crawl4ai_scrape`	Scrape webpage using Crawl4AI
`crawl4ai_extract`	Extract structured data with Crawl4AI
`scrape_page`	Scrape webpage and extract text
`extract_links`	Extract all links from a webpage
`web_crawl`	Crawl website and extract content

📦 Supporting Tools

🧠 Memory & Knowledge

Tool	Description
`memory_add`	Add to memory store
`memory_search`	Search memories
`memory_list`	List all memories
`memory_clear`	Clear memories
`auto_extract_memories`	Auto-extract memories from text
`knowledge_add`	Add to knowledge base
`knowledge_search`	Search knowledge base

📋 Planning & Research

Tool	Description
`plan_create`	Create a plan for a goal
`plan_execute`	Execute a plan step by step
`deep_research`	Deep research with iterations
`analyze_repository`	Analyze a repository
`fast_context_search`	Search codebase for context

💻 Code & Execution

Tool	Description
`run_python`	Execute Python code
`run_shell`	Execute shell commands
`git_commit`	Create git commits
`code_apply_diff`	Apply SEARCH/REPLACE diff
`code_search_replace`	Search and replace in file

📁 File Operations

Tool	Description
`read_file`	Read file contents
`write_file`	Write content to file
`list_directory`	List directory contents
`read_csv`	Read CSV file
`write_csv`	Write CSV file
`read_json_file`	Read JSON file
`write_json_file`	Write JSON file
`read_yaml_file`	Read YAML file
`write_yaml_file`	Write YAML file

🧮 Utilities

Tool	Description
`calculate`	Evaluate math expressions
`get_current_time`	Get current date/time
`solve_equation`	Solve math equations
`convert_units`	Convert between units
`calculate_statistics`	Calculate statistics

📈 Finance

Tool	Description
`get_stock_price`	Get current stock price
`get_stock_history`	Get historical stock data

🖼️ Image & Query

Tool	Description
`analyze_image`	Analyze image using vision
`rewrite_query`	Rewrite query for better results
`expand_prompt`	Expand short prompt to detailed

✅ Task Management

Tool	Description
`todo_add`	Add task to todo list
`todo_list`	List all tasks
`todo_complete`	Mark task as completed

💾 Session & State

Tool	Description
`session_save`	Save current session
`session_load`	Load a saved session
`session_list`	List all sessions

📜 Rules & Guardrails

Tool	Description
`rules_list`	List all defined rules
`rules_add`	Add a new rule
`rules_get`	Get a specific rule
`guardrail_validate`	Validate content against rules

🖥️ System & Telemetry

Tool	Description
`list_processes`	List running processes
`get_system_info`	Get system information
`track_metrics`	Track metrics event
`get_metrics`	Get tracked metrics
`select_model`	Select best model for task

🔌 MCP & Hooks

Tool	Description
`mcp_list_servers`	List MCP servers
`mcp_connect`	Connect to MCP server
`hooks_list`	List available hooks
`docs_search`	Search documentation

Environment Variables

Variable	Description	Required For
`OPENAI_API_KEY`	OpenAI API key	Agent tools
`TAVILY_API_KEY`	Tavily search API key	tavily_search, tavily_extract
`EXA_API_KEY`	Exa search API key	exa_search, exa_search_contents, exa_find_similar
`YDC_API_KEY`	You.com API key	ydc_search, ydc_news
`SEARXNG_URL`	SearxNG instance URL	searxng_search (optional)

License

MIT License

Copy & paste — that's it

# Using uvx (Recommended)
uvx praisonai-mcp

# Using pip
pip install praisonai-mcp

Before it works, you'll need: OPENAI_API_KEYTAVILY_API_KEY

Installation

# Using uvx (Recommended)
uvx praisonai-mcp

# Using pip
pip install praisonai-mcp

MCP Client Configurations

Claude Desktop

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"
      }
    }
  }
}

VS Code (GitHub Copilot)

Config file: .vscode/mcp.json

{
  "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}"
      }
    }
  }
}

Cursor

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "praisonai": {
      "command": "uvx",
      "args": ["praisonai-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key"
      }
    }
  }
}

Windsurf

Config file: ~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "praisonai": {
      "command": "uvx",
      "args": ["praisonai-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key"
      }
    }
  }
}

Cline (VS Code Extension)

Open Command Palette → "Cline: MCP Servers" → Add:

{
  "mcpServers": {
    "praisonai": {
      "command": "uvx",
      "args": ["praisonai-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key"
      }
    }
  }
}

Continue

Config file: ~/.continue/config.json

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "uvx",
          "args": ["praisonai-mcp"]
        }
      }
    ]
  }
}

Zed

Config file: ~/.config/zed/settings.json

{
  "context_servers": {
    "praisonai": {
      "command": {
        "path": "uvx",
        "args": ["praisonai-mcp"]
      }
    }
  }
}

Claude Code (CLI)

claude mcp add praisonai -- uvx praisonai-mcp

Running as SSE Server

python -m praisonai_mcp --sse --port 8080