Agentic commerce describes systems where autonomous AI agents execute financial and business actions — placing orders, moving value, or managing entitlements — on behalf of institutions. Institutional adoption requires tokenization standards and robust credential management that deliver auditability, interoperability, lifecycle controls and enterprise-grade key management. Emerging proposals such as ERC-8183 and ongoing UNE–ISO tokenization work are part of a 2024–26 wave of standardization seeking to codify metadata, role-based controls, off-chain attestations and revocation patterns that institutions need. Practical deployments are converging on Model Context Protocol (MCP) patterns that let LLM-based agents interact with enterprise services under policy, observability and cryptographic controls. Relevant tooling includes Bsc-mcp (BNBChain MCP) for on-chain token operations and agent integration; Thales CipherTrust Manager MCP for controlled key management and cryptographic ops; Thales CDSP CAKM MCP for database EKM and transparent data encryption workflows; Thales CDSP CRDP MCP for fine-grained data protection and selective reveal; and Keycloak MCP for identity, realm and user lifecycle tasks. Archestra.AI provides centralized MCP orchestration, registry, security controls and observability for multi-MCP environments. For credential management teams, the intersection of standardized token semantics and MCP-enabled agents matters because it defines how tokens, keys and verifiable credentials are created, delegated, audited and revoked across on-chain and off-chain boundaries. Current trends emphasize zero-trust access, separation of duties via EKM/TDE, provable attestations for regulatory audit trails, and unified MCP gateways to enforce policy. Aligning toolchains with ERC-8183/UNE–ISO outputs reduces integration risk and supports safer, auditable agentic commerce at institutional scale.