Skip to main content

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

Project description

PraisonAI MCP Server

Downloads PyPI License MCP Registry

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 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)

Running as SSE Server

python -m praisonai_mcp --sse --port 8080

Links

License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

praisonai_mcp-0.1.1.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

praisonai_mcp-0.1.1-py3-none-any.whl (17.4 kB view details)

Uploaded Python 3

File details

Details for the file praisonai_mcp-0.1.1.tar.gz.

File metadata

  • Download URL: praisonai_mcp-0.1.1.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.22

File hashes

Hashes for praisonai_mcp-0.1.1.tar.gz
Algorithm Hash digest
SHA256 a99769c45d33dd59e63ee1081a1e80dced7f8e248cd7f3a9cc0975c50513811d
MD5 670bc50bf193cef81f44d681171e489a
BLAKE2b-256 a346fcf506f938a3068b18aff45d6c48724a7a9b69d7652057a46442cc847d0f

See more details on using hashes here.

File details

Details for the file praisonai_mcp-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for praisonai_mcp-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9536230bc6373c786305b17f73ac0651aab0f7b39645d2d7358da2937e8ae854
MD5 b1a728a95a378bcc36efba7dff4e7fbe
BLAKE2b-256 103e1e15ce136a3c003472f58fce1742b4c5a0fd48bdddf9ace17167b84979c7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page