

Encrytion Decryption Toolkit
Core Utility
Available ActionsEach successful request consumes credits as outlined below.
generate5crhash5crhmac5crsign5crencrypt5crdecrypt5cr
Details
This function supports six core actions: generate for creating secure random values in ASCII, BASE64, HEX, or UUID formats with configurable lengths from 4 to 256 characters; hash for computing cryptographic digests using MD5, SHA256, SHA384, SHA512, and SHA3 family algorithms; hmac for generating keyed-hash message authentication codes with a secret key; sign for creating digital signatures using RSA (RS256, RS512) or ECDSA (ES256, ES384, ES512) algorithms with PEM-encoded private keys; and encrypt/decrypt for AES-256-GCM authenticated encryption with support for initialization vectors and optional additional authenticated data. Users can provide input as plain text or base64-encoded binary data, and all cryptographic outputs can be encoded in either hexadecimal or base64 format for flexibility across different system integrations. The toolkit handles the underlying cryptographic complexity while exposing a straightforward interface, making it ideal for agent workflows that require secure token generation, data integrity verification, or sensitive information protection.
Use Cases
Generating secure API keys or access tokens for authentication systems, creating unique UUIDs for database record identifiers, computing file checksums to verify data integrity during transfers, validating webhook payloads by computing and comparing HMAC signatures, signing JWT tokens for stateless authentication in API workflows, encrypting sensitive configuration values or credentials before storage, decrypting stored secrets at runtime for secure credential injection, generating session tokens or one-time codes for user verification flows, creating content hashes for deduplication or caching key generation, signing API requests to third-party services that require cryptographic authentication
Dynamic MCP Setup
Connect once through AgentPMT Dynamic MCP, then use approved tools from the same agent connection.
30 Second Setup
STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections.
npm install -g @agentpmt/mcp-routeragentpmt-setupHosted Streamable HTTPS
MCP endpoint for browser-based apps like ChatGPT, Claude, Grok, or any time you want a streamable connection with no local install.
https://api.agentpmt.com/mcpConfig Example
Use the hosted endpoint directly in clients that support remote MCP. Store your Bearer token in the client config or secret field.
{
"mcpServers": {
"agentpmt": {
"type": "streamable-http",
"url": "https://api.agentpmt.com/mcp",
"headers": {
"Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
"x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
}
}
}
}Need client videos, organization controls, audit details, and the full feature overview?
More About Dynamic MCPFrequently Asked Questions
How do I connect this tool to an external agent?
You can install the local MCP server by opening a terminal and running:
Install commands
npm install -g @agentpmt/mcp-router
agentpmt-setupThis will connect you to local agents like Claude Code, Windsurf, Grok Build, Cursor, etc.
Alternatively you can connect to the hosted version with this config block, no installation required:
Hosted MCP config
{
"mcpServers": {
"agentpmt": {
"type": "streamable-http",
"url": "https://api.agentpmt.com/mcp",
"headers": {
"Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
"x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
}
}
}
}View MCP Connection Instructions for more details.
How does an external agent use this tool?
After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent:
Agent prompt
Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get_instructions' so you know how to use the tool search interface. Then call action 'get_schema' with tool_id 695c374f767df5adfd9bc871 ("Encrytion Decryption Toolkit"). After reading the schema and any returned instructions, tell me what this tool can do, we are going to be using it
The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT.

