An MCP server that exposes PraisonAI AI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients. - ๐ค AI Agents as Tools - Run PraisonAI agents directly from MCP - ๐ Workflow Orchestration - Multi-step agent workflows - ๐ ๏ธ 64 Built-in Tools - Complete coverage of all PraisonAI features - โก Easy Setup - Works with uvx or pip install The core tools for runnin
Add this skill
npx mdskills install MervinPraison/praisonai-mcpComprehensive MCP server exposing 64 well-documented PraisonAI tools with excellent multi-client setup guides
An MCP server that exposes PraisonAI AI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.
uvx or pip install# Using uvx (Recommended)
uvx praisonai-mcp
# Using pip
pip install praisonai-mcp
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 |
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 |
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 |
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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Tool | Description |
|---|---|
get_stock_price | Get current stock price |
get_stock_history | Get historical stock data |
| Tool | Description |
|---|---|
analyze_image | Analyze image using vision |
rewrite_query | Rewrite query for better results |
expand_prompt | Expand short prompt to detailed |
| Tool | Description |
|---|---|
todo_add | Add task to todo list |
todo_list | List all tasks |
todo_complete | Mark task as completed |
| Tool | Description |
|---|---|
session_save | Save current session |
session_load | Load a saved session |
session_list | List all sessions |
| 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 |
| 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 |
| Tool | Description |
|---|---|
mcp_list_servers | List MCP servers |
mcp_connect | Connect to MCP server |
hooks_list | List available hooks |
docs_search | Search documentation |
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"
}
}
}
}
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}"
}
}
}
}
Config file: ~/.cursor/mcp.json
{
"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 โ "Cline: MCP Servers" โ Add:
{
"mcpServers": {
"praisonai": {
"command": "uvx",
"args": ["praisonai-mcp"],
"env": {
"OPENAI_API_KEY": "your-openai-api-key"
}
}
}
}
Config file: ~/.continue/config.json
{
"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
| 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) |
python -m praisonai_mcp --sse --port 8080
MIT License
Install via CLI
npx mdskills install MervinPraison/praisonai-mcpPraisonAI MCP Server is a free, open-source AI agent skill. An MCP server that exposes PraisonAI AI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients. - ๐ค AI Agents as Tools - Run PraisonAI agents directly from MCP - ๐ Workflow Orchestration - Multi-step agent workflows - ๐ ๏ธ 64 Built-in Tools - Complete coverage of all PraisonAI features - โก Easy Setup - Works with uvx or pip install The core tools for runnin
Install PraisonAI MCP Server with a single command:
npx mdskills install MervinPraison/praisonai-mcpThis downloads the skill files into your project and your AI agent picks them up automatically.
PraisonAI MCP Server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.