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Back to HomeModel Context Protocol
MCP server with 69+ tools for AI agent integrations, automation, and universal LLM adapter system
Available MCP Tools
File System
Read, write, and manage files across your system
SystemWeb Scraping
Extract data from websites and APIs
DataDatabase Query
Query SQL and NoSQL databases
DataEmail Integration
Send and receive emails programmatically
CommunicationCalendar Access
Read and write calendar events
ProductivityPayment Processing
Process payments and refunds
CommerceImage Generation
Generate images with AI models
AICode Execution
Execute code in sandboxed environments
DevelopmentSupported Protocols
stdio
Standard input/output for local processes
HTTP
RESTful API endpoints for remote access
WebSocket
Real-time bidirectional communication
gRPC
High-performance RPC framework
Universal LLM Adapter
Claude
connectedOpenAI
connectedGemini
connectedLocal Models
availableQuick Start Example
from mcp import MCPClient
# Initialize MCP client
client = MCPClient(protocol="stdio")
# Use any of 69+ tools
result = client.tools.file_system.read(
path="/data/customers.json"
)
# Process with any LLM
response = client.llm.claude.complete(
prompt=f"Analyze this data: {result}",
model="sonnet"
)
print(response)MCP Features
69+ Pre-built Tools
Access file systems, databases, APIs, and more through standardized interfaces
Universal LLM Adapter
Switch between Claude, GPT-4, Gemini, and local models with one interface
Multiple Protocols
stdio for local agents, HTTP/WebSocket for remote integrations
Agent Automation
Build AI agents that can take actions across your entire system
69+ tools • Multi-LLM support • Enterprise ready