Multiple connections increase risk because every additional server adds credentials, configuration, and a new place for mistakes to happen. They also expand the tool surface an AI model must reason over, which can degrade selection quality and encourage overbroad access. In practice, the larger the tool sprawl, the harder it is to govern least privilege and maintain consistent policy.
Why Multiple MCP Connections Increase Enterprise Risk
Each additional MCP server creates another credential path, another policy boundary, and another opportunity for misconfiguration. That matters because MCP is not just a connector layer, it is a control plane for tool access, data movement, and agent execution. As the tool count grows, so does the chance that an AI agent will select the wrong capability, inherit excessive access, or operate against inconsistent policy. Current guidance from OWASP Agentic AI Top 10 and NHI research from Top 10 NHI Issues both point to the same operational reality: the security model weakens when access is spread across many independently managed endpoints.
NHIMG’s research on The State of MCP Server Security 2025 found that 53% of MCP servers expose credentials through hard-coded values in configuration files, which turns connection sprawl into secret sprawl. In practice, many security teams encounter the blast radius only after one server has been over-permissioned or one stale credential has already been reused across multiple tool paths.
How It Works in Practice
Operational risk appears in three layers. First, every MCP connection tends to carry its own authentication material, such as API keys, tokens, or certificates, which increases exposure if configuration drift is not tightly controlled. Second, each server expands the agent’s tool surface, making it harder to ensure the model chooses the right function under pressure or ambiguity. Third, enterprise policy becomes fragmented when one server uses different scopes, logging, or approval logic than another.
For that reason, enterprise teams increasingly align MCP governance with OWASP Top 10 for Agentic Applications 2026 and the NIST Cybersecurity Framework 2.0. That means treating each server as a workload identity with its own trust boundary, not as a shared convenience layer. A mature implementation typically includes scoped credentials, short TTL secrets, explicit tool allowlists, central policy-as-code, and telemetry that ties every tool call back to a business purpose.
- Use per-server identities rather than shared credentials.
- Scope tools to the smallest action set the agent actually needs.
- Issue short-lived secrets and revoke them automatically after task completion.
- Log tool selection, policy decisions, and downstream effects for auditability.
NHIMG’s Ultimate Guide to NHIs — Why NHI Security Matters Now is useful context here because the same identity problem repeats across every additional server: more connections mean more non-human identities to govern, and more places where least privilege can quietly erode. These controls tend to break down in fast-moving engineering environments where teams can spin up new MCP servers faster than security can review their scopes.
Where the Risk Becomes Hard to Control
Tighter MCP governance often increases integration overhead, so organisations have to balance agility against assurance. That tradeoff becomes visible in environments with frequent model changes, multi-team ownership, or developer-managed connectors, where a strict approval workflow can slow delivery while a loose workflow can produce silent privilege creep.
The biggest edge case is tool overlap. When multiple servers expose similar functions, the agent may route to an unintended path, especially if one server has broader access or weaker policy enforcement. There is no universal standard for this yet, but current guidance suggests converging on one authoritative source for each sensitive capability and avoiding duplicated tool definitions unless there is a clear trust or business separation.
Another hard case is hybrid estates. If some MCP endpoints sit behind strong identity controls while others rely on static configuration, governance becomes only as strong as the weakest connection. That is why NHIMG research on Analysis of Claude Code Security is relevant: once an agent can chain tools across systems, a single weak connection can become an enterprise-wide escalation path.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10, CSA MAESTRO and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST AI RMF and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | A2 | Tool sprawl and unsafe tool use are core agentic risks. |
| CSA MAESTRO | T2 | MAESTRO addresses agent tool governance and execution boundaries. |
| NIST AI RMF | GOVERN | Risk governance is needed for autonomous, multi-connector AI systems. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Multiple connections multiply secret exposure and credential lifecycle risk. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access is central to limiting MCP connector blast radius. |
Restrict agent tools to explicit allowlists and review each MCP connection as an attack surface.
Related resources from NHI Mgmt Group
- Why do vague or overlapping MCP tool descriptions create operational risk in multi-server environments?
- When does adding identity security capabilities create operational risk instead of reducing it?
- Why do shadow APIs and undocumented services create operational and security risk in federated enterprises?
- Why do broad SAP SD transaction permissions increase operational and fraud risk in enterprise environments?
