Model Context Protocol (MCP) Development & Integration Solutions
Oodles AI delivers production-ready Model Context Protocol (MCP) solutions that enable AI assistants to securely share context with external tools, databases, and APIs. We design and build custom MCP servers that standardize how AI systems access data, invoke tools, and maintain contextual continuity across enterprise applications.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard introduced by Anthropic that defines how AI assistants interact with external systems in a structured and secure way. MCP enables AI clients to discover and use resources, tools, and prompts exposed by MCP servers through a consistent protocol.
MCP servers act as middleware layers that connect AI assistants with databases, file systems, internal APIs, and business applications. Oodles AI uses MCP to build context-aware AI integrations that are interoperable, auditable, and scalable across enterprise environments.
Why Choose Our MCP Development Services?
Oodles AI specializes in building MCP servers that bridge AI assistants with enterprise data and tooling, enabling reliable context sharing and tool-driven automation.
- • Custom MCP server development using official MCP SDKs
- • Implementation in Python, TypeScript, or language-aligned stacks
- • Integration with databases, internal APIs, and file systems
- • Secure authentication, authorization, and access controls
- • Production deployments with logging, monitoring, and observability
Context Sharing
Enable AI assistants to retrieve and operate on structured data, files, and APIs using standardized MCP resources.
Tool Integration
Expose executable tools and actions that AI assistants can discover and invoke through the MCP protocol.
Standardized Protocol
Implement open MCP specifications to ensure compatibility across MCP-compliant AI clients and platforms.
Enterprise Ready
Implement open MCP specifications to ensure compatibility across MCP-compliant AI clients and platforms.
Our MCP Server Development Process
A structured delivery model used by Oodles AI to design, build, and deploy MCP servers in production environments.
Requirements Analysis
Identify enterprise data sources, tools, and workflows that need to be exposed through MCP.
Server Architecture
Design MCP server architecture defining resources, tools, prompts, and access boundaries.
Implementation
Implement MCP servers using SDKs, integrate databases and APIs, and define request handlers.
Testing & Validation
Validate server behavior using MCP-compatible clients, ensuring correct context resolution and responses.
Deploy & Monitor
Deploy MCP servers with authentication, logging, monitoring, and performance tracking enabled.
Ready to build powerful MCP servers? Let's talk
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