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MCP connectors your security team can inventory.

Model Context Protocol is how an agent calls a database, a SaaS API, or an internal service without a one-off integration for every model. We implement the servers, the allow-list, and the review process. The deep governance write-up lives in our MCP guide.

Talk to an AI consultantSee related use cases
One connector, many models
Inventory and approval
Pairs with A2A

Where this shows up in the work

These are the use cases we usually pair with Model Context Protocol. Each one is a real page, not a slogan.

Helpdesk

AI IT Support Transformation

Agents that can query ITSM and knowledge, not the whole LAN.

Legal

AI Legal Document Excellence

A repository connector with read scope, not blanket drive access.

Data

AI Data Analytics Excellence

Warehouse tools with row-level policy still in force.

Governance

AI Compliance Monitoring Excellence

Every connector in a register a regulator can ask for.

How we implement it

Salesforce and CRM

Read and, when approved, write through a scoped MCP server.

Internal APIs

Wrap the services your agents actually need, not the whole estate.

Knowledge stores

Files, wikis, and graph memory (Neo4j, Cognee) exposed as tools.

What we deliver

MCP server design and hosting for the systems you approve
A registry: owner, scope, approval date, renewal
Prompt-injection and over-permission review before production
A pointer into the full governance guide for security stakeholders

Full connector governance checklist: MCP governance guide.

Talk to an AI consultant

Tell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.

Get in Touch

You might also need

A2A Protocol

Agent2Agent interop across CrewAI, ADK, and Agentforce.

Claude (Anthropic)

Deploy Claude enterprise-wide via API, AWS Bedrock, or Azure.

OpenAI

GPT models and the Agents SDK. Azure OpenAI when you need it.

See all AI tools

Talk to an AI consultant

Tell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.

Get in Touch

You might also need

A2A Protocol

Agent2Agent interop across CrewAI, ADK, and Agentforce.

Claude (Anthropic)

Deploy Claude enterprise-wide via API, AWS Bedrock, or Azure.

OpenAI

GPT models and the Agents SDK. Azure OpenAI when you need it.

See all AI tools

Model Context Protocol FAQ

Is MCP a product you sell, or a protocol you implement?

A protocol. We implement the servers, the inventory, and the access review. The longer security write-up is on our MCP governance guide.

How is MCP different from A2A?

MCP is agent-to-tool. A2A is agent-to-agent. Production stacks usually need both.

Where is the full governance checklist?

In the MCP governance guide. This page is the implementation offer; that page is the control detail.

Agents already calling tools you have not inventoried?

We will list the connectors, tighten scope, and put an approval step in front of production data.

Talk to an AI consultant