AgentStack
MCP verified MIT Self-run

Praisonai Mcp

mcp-mervinpraison-praisonai-mcp · by MervinPraison

MCP server that exposes PraisonAI tools for Claude Desktop, Cursor, and other MCP clients

No reviews yet
0 installs
0 views
view→install

Install

$ agentstack add mcp-mervinpraison-praisonai-mcp

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Praisonai Mcp? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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

Installation

# Using uvx (Recommended)
uvx praisonai-mcp

# Using pip
pip install praisonai-mcp

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 |


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

Environment Variables

| Variable | Description | Required For | |----------|-------------|--------------| | OPENAI_API_KEY | OpenAI API key | Agent tools | | TAVILY_API_KEY | Tavily search API key | tavilysearch, tavilyextract | | EXA_API_KEY | Exa search API key | exasearch, exasearchcontents, exafindsimilar | | YDC_API_KEY | You.com API key | ydcsearch, ydcnews | | SEARXNG_URL | SearxNG instance URL | searxngsearch (optional) |


Running as SSE Server

python -m praisonai_mcp --sse --port 8080

Links

License

MIT License

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.