Skip to main content

Give agents controlled tools

We help teams expose databases, APIs, repositories, files, and internal systems through scoped MCP servers or tool adapters with clear permissions and auditability.

Available as part of a scoped AI/platform engagement where tool risk and operating ownership are explicit.

Scope an MCP integrationView agent infrastructure

On-request / scoped service

Managed MCP servers are available only as part of a scoped platform infrastructure engagement.

View scope info

Tool access by design

Inventory tools, classify risk, and decide which actions are read-only, approval-required, or blocked.

Hosted or customer-owned

Run MCP servers in customer cloud, Assistance-managed infrastructure, or another agreed runtime based on data and security needs.

Operational controls

Add authentication, secrets handling, rate limits, request logs, monitoring, deployment flow, and runbooks.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefWhat MCP enablesCommon server typesCustom MCP server hostingSecurity model

The Model Context Protocol gives agents a standard way to discover and call tools. The hard part is not just exposing a tool; it is deciding which tool actions are safe, how credentials are handled, what gets logged, and who supports the server when it fails.

Managed MCP Servers is a scoped implementation service for teams building AI assistants or agent workflows that need controlled access to real systems.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

EvidenceSection 01

What MCP enables

Runbooks, dashboards, reviews, and handoff material make the work auditable.

MCP servers expose capabilities that agents can call during a task: query a database, search documents, inspect a repository, read a file, call an internal API, or send a notification.

Benefits when implemented carefully:

  • tool definitions are discoverable and versioned
  • authentication is handled at the server boundary instead of inside prompts
  • permissions can be scoped per workflow or agent
  • request logs create an audit trail
  • tool changes can be deployed without rewriting every agent
Operating modelSection 02

Common server types

Responsibilities, response paths, and technical changes are made explicit before work starts.

Server typeExample capabilitiesRisk controls
PostgreSQL / MySQLschema inspection, read-only queries, approved stored proceduresread-only roles first, query limits, row/tenant boundaries, SQL review for writes
Search / documentssearch, fetch source, summarize metadatasource permissions, freshness checks, citation requirements
Git / repositoryread files, inspect diffs, open draft changesbranch limits, secret scanning, PR-only writes, human review
Issue tracker / supportread tickets, classify, draft updates, change statusallowed projects, approval for external comments, field redaction
Internal APIsfetch business objects, trigger approved workflowsendpoint allowlist, auth scopes, rate limits, idempotency keys
File/object storageread approved objects, write generated artifactspath prefixes, content scanning, retention and deletion rules
OutcomeSection 03

Custom MCP server hosting

Expected changes are framed as practical operating improvements, not unsupported guarantees.

When an existing server is not enough, we can implement or host a custom MCP server as part of a scoped engagement.

What we provide:

  • tool and schema design
  • container or serverless runtime selection
  • TLS and authentication pattern
  • secret injection and rotation plan
  • tool-level permissions
  • request logging with sensitive-field redaction
  • health checks and alerting
  • deployment and rollback workflow
  • runbooks and handoff documentation

Supported implementation paths: Node.js, Python, Go, or containerized binaries, selected by the target systems, SDK maturity, and operating model.

Operating modelSection 04

Security model

The section clarifies how production responsibilities change once the service is in place.

Operating step

Authentication

Every server should identify the calling workflow, agent, or team. API keys, OAuth, mTLS, or private-network access are chosen per environment.

Operating step

Tool-level permissions

Restrict which actions an agent can invoke even within a connected server.

{
  "agentId": "research-agent",
  "server": "postgresql",
  "allowedTools": ["query", "describe_schema"],
  "deniedTools": ["insert", "update", "delete", "drop"]
}

Operating step

Approval boundaries

Early pilots should prefer read-only tools. Writes, sends, deletes, deploys, payment actions, and access changes should require human approval until the workflow is proven.

Operating step

Audit log

Every tool call should record agent identity, tool name, decision path, redacted inputs, output size or summary, latency, status, and timestamp. Export format depends on the customer's logging and SIEM stack.

Operating modelSection 05

Engagement outputs

Responsibilities, response paths, and technical changes are made explicit before work starts.

OutputPurpose
Tool inventoryShows which systems agents need and which actions are risky
Permission matrixDefines allowed, blocked, and approval-required tools/actions
MCP server or adapterImplements the scoped tool boundary
Deployment automationMakes server changes reviewable and repeatable
Monitoring and logsShows health, latency, usage, errors, and audit trail
RunbookDocuments operations, incident handling, key rotation, and owner handoff
Next stepSection 07

Getting Started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Bring the systems your agent needs to access and the actions you want to permit. We will map the tool risk, permission model, runtime, logging, and support boundaries before implementation. Scope an MCP integration →

Ready to get started?

Book a quote review or talk to an engineer.

View scope info

Pricing

Flexible scopes available. if you need custom terms or bundled service pricing.

On-request scope
Quoted

Managed MCP servers are available only as part of a scoped platform infrastructure engagement.

Talk to a senior engineer

Need a clearer path for Managed MCP Servers?

We'll help you understand fit, scope, pricing, and the fastest practical next step for your team.

No obligation • Senior engineer review • Recommendations grounded in your current stack