MCP Security Risks Every Enterprise Should Know
The Model Context Protocol is connecting AI agents to enterprise systems at scale. But MCP servers introduce new attack surfaces — from credential exposure to prompt injection relay. Here's what security teams need to address.
The Model Context Protocol (MCP) has gone from niche experiment to enterprise standard in under a year. Originally introduced by Anthropic to give AI assistants structured access to external tools and data, MCP is now the de facto protocol for connecting LLMs to databases, APIs, file systems, and cloud services.
The productivity gains are undeniable. Developers use MCP servers to give Claude or GPT access to their codebase, documentation, and deployment pipelines. Sales teams connect agents to CRM data. Finance teams build MCP integrations for real-time reporting. The ecosystem is booming.
But enterprises are adopting MCP faster than they're securing it. Most MCP servers run with no authentication, store credentials in plaintext configuration files, and grant agents unrestricted access to the systems they connect to. For security teams, this is a ticking time bomb.
The MCP Explosion
5 MCP Security Risks You Can't Ignore
Credential Exposure in MCP Server Configs
MCP servers require credentials to access the systems they connect to — database passwords, API keys, OAuth tokens. Most store these in plaintext JSON configuration files on developer laptops or CI/CD runners.
Overly Permissive Tool Definitions
MCP tools are defined with broad capabilities by default. A "database" MCP server typically exposes SELECT, INSERT, UPDATE, and DELETE operations — even when the agent only needs to read data. Tool definitions rarely scope access to specific tables or columns.
Prompt Injection Relay
MCP servers return data from external systems to the LLM. If that data contains malicious instructions — embedded in emails, documents, or database records — the LLM may follow them. MCP creates a bridge between untrusted data and privileged tool execution.
No Authentication Standard
The MCP specification does not mandate authentication between clients and servers. Most community MCP servers run on localhost with no auth. In enterprise deployments with remote MCP servers, there's no standard way to verify who is connecting or what permissions they should have.
Supply Chain Risks
The MCP ecosystem is largely community-driven. Thousands of open-source MCP servers are published on npm and GitHub with minimal vetting. Enterprises install these servers to connect agents to Slack, Jira, Confluence, and other tools — granting third-party code access to production systems.
How TigerIdentity Secures MCP
TigerIdentity's MCP Gateway sits between AI agents and MCP servers, adding authentication, authorization, and audit to every tool invocation — without modifying your existing MCP servers.
MCP Gateway Proxy
All MCP traffic routes through TigerIdentity's gateway. Agents connect to the gateway instead of directly to MCP servers. The gateway handles authentication, evaluates policies, and proxies authorized requests to the target server.
Tool-Level Authorization
Every MCP tool invocation is evaluated against policy in real-time. Policies can restrict which tools an agent can call, what parameters it can pass, and what data it can access — all based on the agent's identity and context.
Credential Vaulting
MCP server credentials are stored in TigerIdentity's encrypted vault — not in plaintext config files. Credentials are injected at runtime with automatic rotation. Agents never see the actual credentials.
Behavioral Analysis
ML models track normal tool usage patterns for each agent. Unusual patterns — sudden spikes in database queries, access to new tables, or tool calls outside typical workflows — trigger automatic throttling or session revocation.
MCP Access Policy Example
Here's how TigerIdentity governs MCP tool access. This policy allows an analytics agent to read data via MCP but blocks writes and restricts access to sensitive tables:
policy "mcp-analytics-agent":
description: "MCP tool access for analytics agents"
principals:
type: ai_agent
attributes:
agent_type: analytics
mcp_enabled: true
default_decision: deny
rules:
# Allow read-only database queries
- name: database-read
effect: allow
resources:
type: mcp_tool
server: database-server
tool_name: query
conditions:
- mcp.params.query starts_with "SELECT"
- mcp.params.table not in ["users_pii", "payments", "credentials"]
- time.is_business_hours() == true
rate_limit:
max_requests: 100
window: 1h
# Block all write operations
- name: block-writes
effect: deny
priority: 100
resources:
type: mcp_tool
server: database-server
conditions:
- mcp.params.query starts_with ["INSERT", "UPDATE", "DELETE", "DROP"]
# Allow Slack read, block Slack write
- name: slack-read
effect: allow
resources:
type: mcp_tool
server: slack-server
tool_name: [search_messages, get_channel_history]
- name: slack-write-block
effect: deny
resources:
type: mcp_tool
server: slack-server
tool_name: [send_message, upload_file]Secure Your MCP Infrastructure
Add authentication, authorization, and audit to every MCP tool invocation. TigerIdentity's MCP Gateway deploys in minutes with zero changes to your existing servers.
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