Aletheia MCP server
by vikasny30Checks your AI's commands before they run and blocks dangerous ones like deleting files or reading passwords.
AI Library · 4,066 MCP servers
Checks your AI's commands before they run and blocks dangerous ones like deleting files or reading passwords.
Give your coding AI a shared memory that stays tidy, with old notes replaced instead of piling up.
Lets your AI read Edge Delta logs, anomalies and pipelines, and safely test or deploy pipeline changes for you.
Ask your AI questions about your Postgres database and get safe, read-only answers with sensitive data blocked.
Lets your AI check any text for hidden prompt injection attacks before you trust it.
Your AI remembers what it decided, what it rejected and why, so old choices can be revisited.
Lets your AI find cloud and SaaS resources in Firefly and turn them into infrastructure code.
Lets your AI look inside your database: list tables, describe columns, and run queries for you.
Your AI can scan code and config files for hidden tricks like invisible characters and sneaky dependencies.
Give your coding AI a long-term memory file so it remembers your project across sessions.
Ask your AI to check TestDino test runs, debug failures, and manage manual test cases for you.
Ask your AI to check your managed devices for login storms and config drift, and to reboot or reassign profiles with a full audit trail.
Adds a safety guard in front of your AI's tools, blocking risky actions and hiding secrets.
Lets your AI write ready-to-use UploadKit file upload code for your app, with the right components and setup.
Watch and control what your AI does through MCP servers, with timing, logs, and simple allow or deny rules.
Lets your AI act on your computer only inside the rules you set, with backups before file changes.
Ask your AI to check if a website is up, see what is down, and manage your HostTracker monitors in chat.
Lets your AI look inside a libSQL database, read rows, and make changes when you ask.
Check signed receipts and audit bundles offline, right from your AI chat.
Ask your AI about your Kubernetes cluster in plain English and let it look things up or fix them.
Lets your AI safely read and explore a SQLite database file and answer questions about the data inside it.
Lets your AI scan C/C++ code for common memory bugs and check whether a compiled program has security protections turned on.
Lets your AI look through your app's trace data to find errors, slow calls, and token costs.
Lets your AI track what your AI agents cost, find waste, and suggest cheaper models.