Why This Project Matters#

Multi-agent systems become difficult to govern when tool access, shared context, service discovery, authorization, and workflow state are handled through separate ad hoc integrations.

MCP 2.0 explores a structured control plane for those concerns. It uses gRPC and Protocol Buffers for explicit service contracts, then layers discovery, middleware, event exchange, and capability-aware access around the protocol boundary.

System Scope#

The repository implements the foundations of a distributed agent platform:

• a registry service for service registration and lookup;
• a context and tool server for structured agent interactions;
• an event-bus service for asynchronous coordination;
• middleware for cross-cutting protocol behavior;
• authorization concepts for limiting agent and service capabilities;
• a client example that exercises the service contracts;
• PostgreSQL initialization for durable platform state; and
• Protocol Buffer definitions that keep requests and responses typed across services.

Architecture#

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Agents and Clients
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       |
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       v
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Capability and policy checks
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       |
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       v
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MCP 2.0 orchestration layer
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  |-- Discovery and registry
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  |-- Context and tool services
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  |-- Event-driven coordination
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  |-- Middleware and observability
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       |
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       v
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Knowledge stores, enterprise tools, APIs, and other agents

The control plane separates protocol contracts from service implementation. An agent discovers a service, presents the appropriate capability context, and exchanges typed messages without coupling every participant to custom integration code.

Protocol and Service Design#

Protocol Buffers define the shared message schema, while gRPC provides transport and service interfaces. This combination supports explicit request and response types, service discovery, streaming patterns, and language-independent clients.

The platform design groups responsibilities into four layers:

Repository Structure#

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MCP2.0/
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|-- auth.py
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|-- client_example.py
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|-- context_tool_server.py
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|-- event_bus_server.py
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|-- init_db.sql
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|-- middleware.py
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|-- protos/
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|   `-- mcp2.proto
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|-- registry_server.py
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`-- requirements.txt

The implementation is a platform prototype rather than a claim of production readiness. A production deployment would still require hardened identity, secrets management, policy administration, telemetry, failure recovery, load testing, and isolation for untrusted tool execution.

Engineering Value#

MCP 2.0 demonstrates how multi-agent coordination can be treated as distributed-systems infrastructure instead of a collection of loosely connected prompts. Typed contracts make service boundaries inspectable, while the registry and event layers give agents a consistent way to discover capabilities and coordinate structured work across services.

The project is especially relevant to agent platforms that need reusable tool access, shared context, durable service knowledge, and governed delegation without embedding every workflow inside one monolithic runtime.