data-ai MCP Server
Give your AI agent tools that work across machines — peer-to-peer MCP bridge with permissions and zero config networking.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Invoke a tool on a remote peer
Schedule a tool call on a recurring interval (minimum 5 s). Returns a `job_id`; fires `cron.fired` events each time it triggers.
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Fetch a peer's raw DHT announcement
List all active cron jobs on this node.
Progressive tool discovery — summary by default, full schemas with `--query`
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List AI models available on the network (local + remote peers)
Cancel a scheduled job by `job_id`.
Returns tool names, descriptions, and JS function signatures grouped by category. Accepts an optional query to filter.
Wrap **any** tool call in a background task. Returns a `task_id` immediately and emits a `task.done` or `task.failed` event when the call finishes.
Executes a JavaScript snippet in Node.js with all local tools pre-loaded as async functions.
Search for tools across peers by name
Run a command in `cmd /C` (Windows) or `sh -c` (Unix). Dangerous patterns (format, shutdown, etc.) are blocked by a built-in deny list. Output is truncated at 1 MB.
List discovered nodes (from local cache)
Block until events matching given topics arrive; supports cursor-based resumption
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Push an event to the local event queue with a topic and payload
Check if a peer is connected
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What it does
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Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.
Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.
Implementing AWS Security Hub to aggregate security findings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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