pillar_connect
Connect to your Pillar smart wallet. Opens the Pillar website - if you
This record as markdown: /tools/io-github-aibtcdev-mcp-server/pillar-connect.md
What pillar_connect does on Aibtc
AI agents invoke pillar_connect to trigger actions in Aibtc. 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.
Why pillar_connect is rated High
The tool triggers an external operation (opening a website/initiating a wallet connection), which is an Execute-category action. It interacts with an external system (Pillar smart wallet) rather than simply reading or writing data.
From the tool's definition 'Connect to your Pillar smart wallet. Opens the Pillar website'
Attacks that exploit this kind of access
The rule that runs pillar_connect safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aibtc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pillar_connect, this is the rule to start with:
pillar_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Aibtc, apply this rule, and every pillar_connect call is checked against it from then on.
Questions about pillar_connect
Connect to your Pillar smart wallet. Opens the Pillar website - if you. It is categorised as a Execute tool in the Aibtc MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Aibtc MCP server in PolicyLayer and add a rule for pillar_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 Aibtc. Nothing to install.
pillar_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 pillar_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 pillar_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.
pillar_connect is provided by the Aibtc MCP server (aibtcdev/aibtc-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Aibtc, and thousands of servers like it.
Across the catalogue