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Enter a secret in a local browser form while keeping its value out of the agent transcript.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
5 servers
Enter a secret in a local browser form while keeping its value out of the agent transcript.
Check documented agent-service status and use a separate local signer for identity operations.
Evaluate proposed agent payments against local policies before an application acts on them.
Give agents scoped access to HTTP, SSH and database operations using credentials held in the OS keychain.
Look up on-chain token risk signals and honeypot checks from an MCP client.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.