Connect to a Metashape network processing server.
AI agents invoke network_connect to trigger actions in Metashape MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool establishes a network connection to an external processing server, which is an external operation with side effects (network state change, potential resource allocation on remote server). It doesn't merely read data but actively initiates a connection, placing it in the Execute category. Misuse could expose the system to unauthorized network endpoints or exhaust remote resources.
From the tool's definition Connect to a Metashape network processing server
Documented attack patterns abuse exactly the kind of access network_connect gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Metashape MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for network_connect:
{
"version": "1",
"default": "deny",
"tools": {
"network_connect": {
"limits": [
{
"counter": "network_connect_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} network_connect stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Connect to a Metashape network processing server. It is categorised as a Execute tool in the Metashape MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Metashape MCP Server MCP server in PolicyLayer and add a rule for network_connect: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Metashape MCP Server. Nothing to install.
network_connect is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the network_connect rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for network_connect. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
network_connect is provided by the Metashape MCP Server MCP server (jenkinsm13/metashape-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Metashape MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
112 Metashape MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.