OPEN SOURCE
Part of AIS Platform

SecureMCP

A Trust Fabric for Multi-Agent Systems

The missing trust layer for the Model Context Protocol (MCP). SecureMCP transforms agent runtimes from opaque executors into cryptographically verifiable trust fabrics with machine-verifiable guarantees of lawful execution, non-repudiation, and tamper-evident provenance.

The Agentic Economy Needs Trust

As billions of AI agents transact, negotiate, and execute tasks on behalf of humans, existing frameworks like FastMCP, LangChain, and AutoGen provide execution and coordination - but not the guarantees of security, compliance, or accountability required in regulated environments. MCP specifies how agents connect, not how they can be trusted.

The Trust Loop

Five tightly coupled modules that transform MCP into a governed runtime

Pluggable Policy Engine

Policies constrain what may happen

Dynamically enforces machine-checkable rules (role-based access, minimum necessary principle) to validate MCP requests before they are processed.

Inter-Agent Contract Module

Contracts codify what was agreed

Encodes agreements into digitally signed, non-repudiable commitments with explicit lifecycles.

Provenance Ledger

The Ledger records what did happen

Anchors every decision, action, and data flow in a tamper-evident, hash-linked structure with Merkle proofs.

Reflexive Core

Ensures unsafe actions cannot happen

Provides runtime self-awareness, detecting anomalies or violations and halting or escalating in real time.

Federated Consent Graph

Ensures only lawful actions can happen

Models entities, jurisdictions, and lawful bases of processing, generating cryptographically signed compliance proofs.

Compliance-Gated Execution

Every agent request results in one of two outcomes - nothing unsafe or non-compliant can proceed silently

APPROVED

Recorded immutably, contractually bound, and accompanied by cryptographic proofs

REJECTED

Denied execution, with the violation permanently logged for audit and accountability

System Guarantees

Formal properties observable at runtime - elevating from best-effort trust to machine-verifiable trust

GuaranteeMechanismProof Artifact
SecurityEd25519 signatures, SHA-256 hashesDigital signature, hash chain
CompliancePolicy Engine + Consent GraphSigned policy decision, consent proof
ResilienceReflexive Core runtime monitoringLogged reflexive event with proof hash
AuditabilityProvenance Ledger + Merkle treesMerkle proof, tamper-evident ledger entry
FederationFederated Consent GraphCross-jurisdiction consent verification

Domain Applications

Critical for high-stakes domains where trust failures have real consequences

Healthcare

  • Patient record governance with HIPAA/GDPR compliance
  • Multi-institution clinical trials across borders

Finance

  • High-frequency trading with real-time compliance
  • Cross-border payments with AML/KYC validation

Industrial IoT

  • Smart factory controller governance
  • Smart grid load balancing with safety limits

Incremental Adoption

Designed for staged deployment without disruptive re-architecture

1

Provenance Ledger

Establish tamper-evident history

2

Policy Engine + Contracts

Enforce and formalize agent behavior

3

Reflexive Core

Enable runtime self-awareness

4

Consent Graph

Cross-border, federated compliance

Provable Trust for the Agentic Economy

"SecureMCP makes every agent transaction provably trustworthy. Open sourcing it ensures trust belongs to everyone, not just one company."

- Wendy Chin, Founder & CEO of PureCipher