VERSION 2.1.4_STABLE

Model Context Protocol
for Advanced Robotics

Unified communication framework enabling hardware-agnostic integration, sensor fusion, and distributed intelligence for autonomous systems.

12.4ms
Avg Latency
94%
Compatibility
10x
Dev Speed
mcp_server_init.ts
SYSTEM: ONLINE
LOAD: 23.4%
ACTIVE NODES: 8
PROTOCOL: ACTIVE
SCROLL FOR TECHNICAL DETAILS
UNIFIED COMMUNICATION FRAMEWORK

MODEL CONTEXT PROTOCOL

PROTOCOL ARCHITECTURE
NAVIGATIONPERCEPTIONMANIPULATIONMODEL CONTEXT PROTOCOLLIDARCAMERASMOTORSARM CONTROL

Key Protocol Capabilities

Hardware Abstraction Layer

Provides unified API for sensor data integration and actuator control across heterogeneous hardware systems.

Real-time Data Distribution

Zero-copy communication between components with guaranteed quality of service and deterministic latency of 2.4ms.

Shared Memory Architecture

Lightweight interprocess communication with lock-free concurrency control and wait-free read operations.

State Synchronization

Distributed state management with conflict resolution and eventual consistency guarantees between nodes.

DISTRIBUTED COMPUTING FRAMEWORK

SYSTEM ARCHITECTURE

Core Architecture Components

VISCA's Model Context Protocol implements a distributed computing architecture optimized for robotics applications with deterministic latency requirements.

MCP Core Runtime

Manages global state synchronization and context propagation between nodes.

Hardware Abstraction Layer

Provides unified API for heterogeneous hardware integration.

Context Propagation Engine

Distributes computational context across networked robotic components.

Sensor Fusion Pipeline

Real-time integration of multi-modal sensor data with temporal alignment.

MCP CORESTATE SYNCHRONIZATIONCONTEXT PROPAGATIONDISTRIBUTED COMPUTINGHARDWARE ABSTRACTION LAYERSENSORS | ACTUATORS | COMPUTEPERCEPTIONSENSOR FUSIONOBJECT DETECTIONSLAMCONTROLMOTION PLANNINGKINEMATICSFORCE CONTROLAPPLICATION LAYERAUTONOMOUS BEHAVIORS | TASK EXECUTIONDATA STREAMCOMMANDSAPIDRIVERS

Communication Protocol

  • »Transport: TCP/UDP/Shared Memory
  • »Serialization: Zero-copy/Protobuf
  • »QoS: DCPS (DDS Compatible)
  • »Discovery: Dynamic Node Registry

Runtime Performance

  • »Latency: 2.4ms avg, 5.6ms P99
  • »Throughput: 2.4 GB/s intraprocess
  • »Bandwidth: 850 MB/s interprocess
  • »State Sync: <10ms globally consistent

Deployment Options

  • »x86_64, ARM64, RISC-V
  • »Linux (RT Preempt, Xenomai)
  • »ROS/ROS2 Integration
  • »Bare Metal (selected platforms)
QUANTITATIVE SYSTEM EVALUATION

PERFORMANCE BENCHMARKS

Latency Distribution

0ms
250ms
500ms
750ms
2.4ms
AVERAGE
5.6ms
P99
0.3ms
STD DEV

Protocol Comparison

VISCA MCP
2.4 GB/s
ROS2 DDS
480 MB/s
gRPC
390 MB/s
ROS1
120 MB/s
MQTT
60 MB/s
Throughput measured on local network with 1KB message size, single process to process communication

Real-world Performance Metrics

Factory Automation

12x

Faster perception pipeline with 94% reduction in latency variation compared to traditional solutions

Autonomous Navigation

85%

Decrease in compute requirements while maintaining sub-millisecond control loop execution

Multi-Robot Coordination

8.4ms

End-to-end latency for synchronized motion planning across 16 distributed robot nodes

SYSTEM CAPABILITIES & REQUIREMENTS

TECHNICAL SPECIFICATIONS

COMPONENTSPECIFICATIONDETAILS
Core ProtocolTransport LayerTCP/IP, UDP, Shared Memory, DMA
Message FormatBinary (Zero-copy), Protobuf, FlatBuffers
Quality of ServiceReliable, Best-effort, Volatile, Transient, Persistent
SecurityTLS 1.3, AES-256-GCM, ECDHE, X.509 certificates
PerformanceLatency2.4ms avg, 5.6ms P99, 0.3ms std dev
Throughput2.4 GB/s intraprocess, 850 MB/s interprocess
Scalability100+ nodes, 1000+ topics, 10GB/s aggregate bandwidth
CPU Utilization2.3% per 100MB/s throughput on 3.5GHz core
Supported PlatformsOperating SystemsLinux (w/ PREEMPT_RT), QNX, VxWorks, Bare Metal
Hardware Architecturesx86_64, ARM64, RISC-V, PowerPC
Framework IntegrationROS/ROS2, AUTOSAR, PX4, Apollo, OpenVX
Hardware AccelerationCUDA, OpenCL, FPGA offloading (Xilinx, Intel)
DeploymentMemory Requirements4MB core, 128KB per connection, configurable buffers
ContainerizationDocker, K8s, Balena, Podman with RT capabilities
Fault ToleranceNode failover, automatic reconnection, persistent messaging
MonitoringPrometheus metrics, distributed tracing, system health

Minimum System Requirements

  • »
    CPU:Dual-core 1.5GHz+ (x86_64, ARM64, RISC-V)
  • »
    RAM:512MB minimum, 2GB+ recommended
  • »
    Storage:50MB for runtime, 500MB for development tools
  • »
    Network:Gigabit Ethernet, WiFi 5/6, TSN support optional
  • »
    OS:Linux 4.9+ (RT patch recommended), QNX 7.0+

Compliance & Certification(Coming Soon)

  • »
    Safety:ISO 13849 (PLd), IEC 61508 (SIL2)
  • »
    Real-time:POSIX 1003.1b RT extensions, AUTOSAR timing
  • »
    Determinism:Worst-case execution time (WCET) analysis tools
  • »
    Security:NIST Cybersecurity Framework, IEC 62443
  • »
    Standards:OMG DDS, OPC UA TSN, IEEE 1588 PTP
EARLY ADOPTER PROGRAM

ACCESS THE PROTOCOL

Technical Requirements

Development Environment

  • »Linux environment (Ubuntu 20.04 LTS recommended)
  • »C++17 compatible compiler (GCC 9+, Clang 10+)
  • »CMake 3.16+ build system
  • »Git version control

Target Hardware

  • »x86_64 or ARM64 processors (min 2 cores)
  • »512MB RAM minimum (2GB+ recommended)
  • »Network interface (ethernet or WiFi)
  • »Optional: RT Linux kernel for deterministic latency

Technical Expertise

  • »Experience with distributed systems
  • »Familiarity with robotics frameworks (ROS/ROS2)
  • »Understanding of real-time constraints
  • »Concurrent programming knowledge

Limited Beta Access

The MCP early access program is currently limited to selected partners. Access is granted based on technical compatibility and project requirements.

Request Access

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Response time: 24-48 hours for qualified teams