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MCP, Tool & Agent Integration Engineering

Security-first design, development, review, and repair of MCP servers, agent tools, agent-to-agent connections, and workflow integrations.

The objective

Give models useful capabilities without turning every integration into an invisible authority escalation.

We build and assess integration surfaces from transport and authentication through tool contracts, permissions, validation, execution, observability, and change control. Every tool receives an explicit purpose, identity, data boundary, side-effect class, and failure behavior.

The service covers local and remote MCP deployments, internal APIs, databases, SaaS systems, code execution, agent-to-agent communication, and orchestrated workflows. Integrations are built to be understandable, testable, pin-able, and safe to evolve.

Often requested as

MCP server developmentMCP security reviewAI tool callingAgent integrationA2A / multi-agent integration

Assessment surface

What we cover

01Custom MCP server and agent-tool development
02OAuth, OIDC, scoped tokens, and non-human identity
03Strict input/output schemas and resource validation
04Tool poisoning, rug-pull, and manifest integrity controls
05Mutating-operation approvals and least-privilege exposure
06Sandboxing, network segmentation, and execution isolation
07Session, tenant, credential, and compute separation
08Signed releases, dependency review, CI gates, and audit logs

The handoff

What you receive

01Production-ready MCP service or hardened integration
02Schema-strict tool and resource contracts
03Identity, permission, and approval model
04Automated security and regression validation
05Deployment, operations, and safe-extension documentation

Designed outcomes

Strict tool contractsControlled authorityVerifiable integrationsMaintainable operations

How it works

Define the contract

Specify workflow, identities, authority, data classification, side effects, and required tool surface.

Design the boundary

Choose transport, authentication, permissions, validation, isolation, and approval behavior.

Build or harden

Implement the integration with defensive defaults, tests, observability, and release controls.

Prove & hand off

Validate misuse cases and deliver evidence, documentation, and safe change guidance.

Operating boundary: All work is performed within explicitly authorized scope. High-risk actions remain human-approved, and findings are communicated with evidence, uncertainty, and practical remediation context.

Research-driven security

Built for attack surfaces traditional security models were not designed to see.

Aetherward’s assessment methods are informed by continuous internal research into behavioral attack chains, legitimate-tool abuse, permission composition, cross-tool escalation, context manipulation, model-to-tool boundary failures, poisoning, and abnormal agent behavior.

Explore Aetherward research ↗

Additional capabilities

Fixed-scope or project-based

Security Automation Engineering

Custom security tooling for teams that need specialized automation without building a full internal platform.

Triage automationDetection toolingScope-aware scannersEvidence collectionThreat-intelligence workflowsAnalyst tooling

Recurring engagement

Ongoing AI Security & Architecture Advisory

Independent review as models, data, integrations, vendors, threats, and business requirements change.

Architecture reviewIntegration reviewThreat updatesRelease gatesSecurity driftDecision support

Building or deploying an AI system?

Assess it. Secure it. Build it. Repair it. ↗