How do I install the server?

Run `uvx praisonai-mcp`, or install it with `pip install praisonai-mcp`.

Which search tools require API keys?

Tavily search requires `TAVILY_API_KEY`, Exa search requires `EXA_API_KEY`, and You.com search requires `YDC_API_KEY`.

Are any search providers available without an API key?

DuckDuckGo, Wikipedia, and arXiv search tools are listed as free providers, and DuckDuckGo is explicitly marked as requiring no API key.

Can the server execute code and modify files?

Yes. Its tools include Python and shell execution, file reading and writing, CSV, JSON, and YAML operations, and code search-and-replace.

Praisonai MCP

ai-agentsdeveloper-toolsworkflowssearchweb-scraping

MCP server for running PraisonAI agents, workflows, searches, crawlers, code execution, and file operations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mervinpraison-praisonai-mcp": {
      "command": "uvx",
      "args": [
        "praisonai-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

PraisonAI MCP exposes PraisonAI agents and 64 built-in tools through MCP clients. Use it to run agents, coordinate multi-step workflows, search and extract web content, manage memory, execute code, and work with files. Several search providers support optional API keys, while DuckDuckGo, Wikipedia, and arXiv searches do not require one.

Use cases

Run an AI agent with a task prompt

Orchestrate multi-step agent workflows

Research topics across web search providers

Crawl webpages and extract structured content

Read, write, and transform local files

Key features

Run PraisonAI agents and delegated handoffs

Create, execute, and export workflows

Search across multiple web providers

Crawl webpages and extract content or links

Execute Python and shell commands

Manage memory, knowledge, sessions, and files

Capabilities & Tool Schemas (80)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Praisonai MCP.

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_run

Run a multi-step workflow

Documentation Overview

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

bash

# 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)

config.json

{
  "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

config.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

config.json

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

Windsurf

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

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:

config.json

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

Continue

Config file: ~/.continue/config.json

config.json

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

Zed

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

config.json

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

Claude Code (CLI)

Terminal

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

bash

python -m praisonai_mcp --sse --port 8080

License

MIT License

Read the full README →View source on GitHub →

Related MCP Servers

View all in Other Tools and Integrations View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

8mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Praisonai MCP

The README states compatibility with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.

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Technical Specs & Signals

CategoryOther Tools and Integrations

PricingFree

10/14 checks healthy over the last 32d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools28/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · praisonai-mcp (PyPI)

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MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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More in 🛠️ Other Tools and Integrations →Alternatives to Praisonai MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Praisonai MCP

ai-agentsdeveloper-toolsworkflowssearchweb-scraping

MCP server for running PraisonAI agents, workflows, searches, crawlers, code execution, and file operations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mervinpraison-praisonai-mcp": {
      "command": "uvx",
      "args": [
        "praisonai-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Use cases

Run an AI agent with a task prompt

Orchestrate multi-step agent workflows

Research topics across web search providers

Crawl webpages and extract structured content

Read, write, and transform local files

Key features

Run PraisonAI agents and delegated handoffs

Create, execute, and export workflows

Search across multiple web providers

Crawl webpages and extract content or links

Execute Python and shell commands

Manage memory, knowledge, sessions, and files

Capabilities & Tool Schemas (80)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Praisonai MCP.

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_run

Run a multi-step workflow

Documentation Overview

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

bash

# 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)

config.json

{
  "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

config.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

config.json

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

Windsurf

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

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:

config.json

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

Continue

Config file: ~/.continue/config.json

config.json

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

Zed

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

config.json

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

Claude Code (CLI)

Terminal

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

bash

python -m praisonai_mcp --sse --port 8080

License

MIT License

Read the full README →View source on GitHub →

Related MCP Servers

View all in Other Tools and Integrations View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

8mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Praisonai MCP

The README states compatibility with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mervinpraison-praisonai-mcp?style=directory)](https://allmcps.com/mcp/mervinpraison-praisonai-mcp)

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<a href="https://allmcps.com/mcp/mervinpraison-praisonai-mcp"><img src="https://allmcps.com/api/badge/mervinpraison-praisonai-mcp?style=directory" alt="Praisonai MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryOther Tools and Integrations

PricingFree

10/14 checks healthy over the last 32d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools28/30

Adoption & activity1/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · praisonai-mcp (PyPI)

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Praisonai MCP

Quick Install

Client Config & Setup

Overview

Use cases

Key features

Documentation Overview

PraisonAI MCP Server

Features

Installation

Available Tools (64 Total)

🤖 Agent Tools (Primary)

🔄 Workflow Tools

🌐 Search Tools (13 tools)

🕷️ Crawl & Scrape Tools

📦 Supporting Tools

🧠 Memory & Knowledge

📋 Planning & Research

💻 Code & Execution

📁 File Operations

🧮 Utilities

📈 Finance

🖼️ Image & Query

✅ Task Management

💾 Session & State

📜 Rules & Guardrails

🖥️ System & Telemetry

🔌 MCP & Hooks