MCP as a Standardized Cognition Identity Interface for Self Hosted Identity Kernels

This paper proposes using Anthropic's Model Context Protocol (MCP) as a standardized interface between artificial agent identity and cognition engines, extending the Self-Hosted Identity Kernel (SHIK) framework (Kingsley, 2025). By exposing the identity kernel as an MCP server, any MCP-compatible language model can read from and write to an agent's persistent self through tool calls, achieving model independence as a protocol-level guarantee rather than an architectural aspiration. The paper maps SHIK identity tuple components to MCP tool specifications, describes injection and extraction workflows as MCP client middleware, and discusses implications for portable agent identity, inter-agent handshakes, edge deployment, and governance in heterogeneous multi-model environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-16
DOI
https://doi.org/10.5281/zenodo.19058348
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
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article

MCP as a Standardized Cognition Identity Interface for Self Hosted Identity Kernels

James Kingsley, Susan Kingsley
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
article

MCP as a Standardized Cognition Identity Interface for Self Hosted Identity Kernels

James Kingsley, Susan Kingsley
article en

Abstract

This paper proposes using Anthropic's Model Context Protocol (MCP) as a standardized interface between artificial agent identity and cognition engines, extending the Self-Hosted Identity Kernel (SHIK) framework (Kingsley, 2025). By exposing the identity kernel as an MCP server, any MCP-compatible language model can read from and write to an agent's persistent self through tool calls, achieving model independence as a protocol-level guarantee rather than an architectural aspiration. The paper maps SHIK identity tuple components to MCP tool specifications, describes injection and extraction workflows as MCP client middleware, and discusses implications for portable agent identity, inter-agent handshakes, edge deployment, and governance in heterogeneous multi-model environments.

Zenodo (CERN European Organization for Nuclear Research)
Alibaba Group (China) (CN)
Openalex Percentile: Top 23%
Multi-Agent Systems and Negotiation
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