MCP Server Development
MCP Server Integration
Reserved for an MCP case study: internal systems exposed to AI assistants as typed, scoped, audited tools.
Content placeholder — project detail not yet published
- Client
- To be confirmed
- Year
- —
- Services
- MCP Server Development, Custom AI Agents
The challenge
What was actually wrong
Placeholder. Replace with the systems involved, who needed assistant access to them, and the access-control constraints that applied.
The solution
What we built
Placeholder. Replace with the tools and resources exposed, the permission model, and how calls are audited.
Implementation
How the work was carried out
The sequence that mattered, including the decisions that prevented later rework.
Technology stack
- Model Context Protocol
- Python
- FastAPI
- Pydantic
- OAuth 2.0
- 01
Capability mapping
Placeholder — the questions and actions that became tools and resources.
- 02
Contract design
Placeholder — input and output schemas, error taxonomy and scopes.
- 03
Security review
Placeholder — the boundaries checked and what was deliberately not exposed.
- 04
Rollout
Placeholder — clients configured and the runbook delivered.
Services delivered
What this project drew on
01
MCP Server Development
Custom Model Context Protocol servers that expose your data and actions as typed tools — with authentication, scoped permissions and audit logging built in from the start.
02Custom AI Agents
Support agents, document processing, lead qualification and multi-step workflows — built on retrieval over your own content, with evaluation and escalation designed in.
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- A written scope and fixed quote before work starts
- Payments handled securely through Stripe
- Code, accounts and documentation stay yours
- Typical first reply within 24–48 hours