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Adoption

Ecosystem

SDKs, developer tools, and reference runtimes that support adoption of the MPLP protocol standard.

Informative Ecosystem Overview: The tools and SDKs described on this page are reference implementations that support evaluation and adoption of the MPLP protocol. They are optional and not required for protocol adoption. This listing does not constitute certification, endorsement, or recommendation. For normative protocol definitions, see docs.mplp.io. For source of truth, see GitHub.

Reference SDKs

Official Libraries

Reference implementations for building protocol-conformant agents.

MPLP Python SDK

Reference SDK for building MPLP-conformant agents in Python. Provides canonical data models and utilities enabling protocol-level validation and structured execution scaffolding.

Includes core protocol primitives, schema validators, coordination helpers, and conformance tooling.

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MPLP TypeScript SDK

Reference SDK for implementing MPLP protocol semantics in TypeScript. Provides strongly-typed definitions and execution scaffolding aligned with the MPLP specification.

Includes core protocol primitives, schema validators, coordination helpers, and conformance tooling.

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Adoption Tooling

Developer Tools

Utilities for observing, validating, and mediating protocol executions.

Inspector

Visual inspection tool for observing MPLP executions. Enables developers to examine protocol states, lifecycle transitions, and inter-agent interactions in a structured and traceable form.

Registry

Decentralized registry for discovering protocol-defined agents and capabilities. Supports semantic lookup and capability metadata aligned with MPLP module definitions.

Validator

Tool for producing verification evidence from agent executions. Evaluates behavior against Golden Flow scenarios as described in the specification.

Gateway

Protocol-aware gateway for routing and mediating external interactions. Provides a controlled boundary between MPLP executions and external systems while preserving protocol semantics.

Execution

Runtimes

Reference and community runtimes for complete MPLP execution lifecycles.

Reference Runtimes

Reference

Reference execution runtimes that demonstrate how MPLP semantics can be composed into a complete execution lifecycle, without prescribing a single implementation.

Community Runtimes

Community

Third-party execution runtimes implementing MPLP semantics, developed and maintained by the community with varying degrees of protocol coverage.

Governance & Standards

Protocol Governance

MPLP governance model, standards alignment, and lifecycle contracts.

Governance Overview

What MPLP governs, what it doesn't, and how the protocol evolves.

Agent OS Protocol

The constitutional definition: Protocol OS vs Runtime OS.

Evidence Chain

Plan → Confirm → Trace: the governance triad for auditability.

Governed Stack

How MPLP relates to MCP, orchestrators, and runtimes.

ISO/IEC 42001

Alignment reference for AI management systems.

NIST AI RMF

Alignment reference for AI risk management.

Positioning Notice: This website provides discovery and positioning content only. For formal protocol definitions, see docs.mplp.io. Source of truth: GitHub Repository.