Enable Intelligent Agent Interoperability with MCP
Oodles AI helps organizations implement Model Context Protocol (MCP) to standardize context exchange between AI agents, tools, and platforms. Our MCP-based solutions enable secure, interoperable, and scalable multi-agent systems across enterprise environments.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open specification for structured context exchange between AI agents, models, and external tools. It defines how context is captured, serialized, transmitted, validated, and retrieved so distributed agent systems can operate with shared state, traceability, and security.
Why Implement MCP?
MCP provides the foundational context layer for agentic systems—ensuring consistent schemas, secure transport, and reliable state sharing across agents, tools, and LLM runtimes.
- • Standardized JSON-based context schemas
- • Secure context transmission with encryption and access control
- • Shared state and memory across distributed agents
- • Transport-agnostic design (REST, WebSocket, gRPC, queues)
- • Auditability, versioning, and compliance-ready logging
Interoperability
Enable agents and tools to exchange context using a shared, protocol-driven contract.
Security
End-to-end encryption and access control for sensitive context.
Scalability
Scale context exchange across large multi-agent systems with predictable performance.
Observability
Complete logging, tracing, and monitoring of context flows.
How Model Context Protocol Works
A standardized lifecycle ensures reliable, secure, and traceable context exchange across distributed AI systems.
1
Context Capture: Agents collect user inputs, tool results, and state into structured MCP objects.
2
Serialization: Context is serialized using MCP schema with metadata, timestamps, and provenance.
3
Transmission: Context is exchanged over REST, WebSocket, gRPC, or message brokers with encryption.
4
Validation & Storage: Recipient validates schema, integrity, and permissions before storage.
5
Retrieval & Use: Authorized agents query context to inform decisions, planning, and actions.
Key Features of MCP
Standardized Schema
JSON-based context format with strict validation and versioning.
Multi-Transport Support
WebSocket, gRPC, HTTP/REST, and message queues.
Access Control
RBAC, ABAC, and token-based authentication for context access.
Context Versioning
Track changes, rollback, and maintain audit trails.
Tool Integration
Standardized adapters for developer tools, collaboration platforms, databases, and APIs.
Observability
Real-time dashboards, logs, and tracing for context flows.
Ready to build with Model Context Protocol? Let's talk
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