Deploy production-ready MCP servers in seconds. mcp.ninja handles the infrastructure while you focus on building AI applications.
Select from our growing library of MCP servers. Mix and match servers to extend your AI agent capabilities.
Securely connect your AI agents using our encrypted credentials and managed connections.
Point your agents to our endpoints and we'll handle the rest. Scale automatically as you grow.
Programmatically access and manage your MCP servers using our powerful SDK. Build complex AI workflows with just a few lines of code.
1from mcp.ninja import MCPClient
2
3# Initialize the MCP client
4client = MCPClient(api_key="your_api_key")
5
6# Deploy a new MCP
7mcp = client.deploy(
8 name="data-processor",
9 config={
10 "model": "gpt-o3-mini",
11 "type": "autonomous",
12 "capabilities": [
13 "natural_language",
14 "data_analysis"
15 ]
16 }
17)
18
19# Execute tasks with your MCP
20response = await mcp.execute(
21 task="Analyze customer feedback",
22 input={
23 "data": customer_reviews,
24 "format": "json",
25 "metrics": ["sentiment", "topics", "urgency"]
26 }
27)
28
29print(response.analysis)
30print(response.recommendations)
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Enterprise-grade infrastructure and tools designed for running AI agents at scale
Deploy production-ready MCP servers with a single click in our managed cloud. Get started in minutes, not hours.
Run MCP servers in your own infrastructure with our enterprise solution. Full control over your deployment.
Built-in security features including encryption at rest, role-based access control, and audit logging.
Deploy across 15 data centers in 9 regions worldwide. Achieve low latency and high availability.
Infrastructure specifically tuned for AI agent workloads. Run thousands of agents efficiently at scale.
Easy integration with your existing tools and workflows. Native support for popular AI frameworks.
Automatically scale your infrastructure based on demand. Only pay for what you use.
Built with enterprise compliance requirements in mind. SOC 2 and GDPR compliance available.
Real-time monitoring and analytics for your AI agents. Track performance, usage, and optimize resource allocation.
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