mcpField
A
Akeyless Agentic Runtime Authority

Akeyless Agentic Runtime Authority

Local
github.com/akeyless-communitySecurity

About Akeyless Agentic Runtime Authority

Secretless database and cloud access via Akeyless RTA. Credentials never enter the model.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"akeyless-community-akeyless-rta": {
"command": "npx",
"args": [
"-y",
"@akeyless-community/devin-connector"
],
"env": {
"AKEYLESS_GATEWAY_URL": "<AKEYLESS_GATEWAY_URL>",
"AKEYLESS_ACCESS_TYPE": "<AKEYLESS_ACCESS_TYPE>",
"AKEYLESS_ACCESS_ID": "<AKEYLESS_ACCESS_ID>",
"AKEYLESS_ACCESS_KEY": "<AKEYLESS_ACCESS_KEY>",
"AKEYLESS_AGENT_ID": "<AKEYLESS_AGENT_ID>"
}
}
}
}
Run commandnpx -y @akeyless-community/devin-connector
Environment variables to set
AKEYLESS_GATEWAY_URLSecretAkeyless Gateway address (e.g. https://gw.example.com:8000/api/v2)
AKEYLESS_ACCESS_TYPESecretAuthentication method: access_key, saml, oidc, universal_identity, jwt, aws_iam, azure_ad, or gcp
AKEYLESS_ACCESS_IDSecretAkeyless Access ID
AKEYLESS_ACCESS_KEYSecretAkeyless Access Key (for access_key auth)
AKEYLESS_AGENT_IDSecretAgent ID for ARA audit sessions

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@akeyless-community/devin-connector0.1.0

Tools

4

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
payloadstringYesThe query or command to execute (e.g. SELECT * FROM users LIMIT 10).
agent-idstringNoAgent identifier for auditing purposes.
secret-namestringYesFull path of the Akeyless secret — dynamic or rotated (e.g. /MyFolder/my-mysql-ds).
original-userstringNoThe human end-user behind the agent (for auditing).
original-promptstringNoThe user's original natural-language request before the agent translated it into a query.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.