HashiCorp Vault MCP Server for Google ADKGive Google ADK instant access to 50 tools to Approle Login, Configure Aws Root, Configure Database, and more

Name: HashiCorp Vault
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add HashiCorp Vault as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The HashiCorp Vault MCP Server for Google ADK is a standout in the Fort Knox category — giving your AI agent 50 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="hashicorp_vault_agent",
    instruction=(
        "You help users interact with HashiCorp Vault "
        "using 50 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About HashiCorp Vault MCP Server

Connect your HashiCorp Vault instance to any AI agent to automate secrets management and security operations through natural language.

Google ADK natively supports HashiCorp Vault as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 50 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Secrets Management — Read, write, and list KV secrets directly from your secure mounts using the KV engine.
Dynamic Credentials — Generate on-demand credentials for Databases, AWS, and PKI certificates without manual intervention.
Token Operations — Create, lookup, and renew tokens to manage session lifecycles and access control.
Transit Encryption — Encrypt and decrypt data using Vault's transit engine to protect sensitive information without exposing keys.
System Administration — Check cluster health, manage mounts, and configure auth methods or ACL policies directly.

The HashiCorp Vault MCP Server exposes 50 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 50 HashiCorp Vault tools available for Google ADK

When Google ADK connects to HashiCorp Vault through Vinkius, your AI agent gets direct access to every tool listed below — spanning secrets-management, encryption, key-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

approle

Approle login on HashiCorp Vault

configure

Configure aws root on HashiCorp Vault

Configure AWS root credentials

configure

Configure database on HashiCorp Vault

Configure a database connection

configure

Configure kubernetes auth on HashiCorp Vault

Configure Kubernetes authentication

create

Create acl policy on HashiCorp Vault

Create or update an ACL policy

create

Create approle role on HashiCorp Vault

Create or update an AppRole role

create

Create aws role on HashiCorp Vault

Create an AWS role

create

Create database role on HashiCorp Vault

Create a database role

create

Create pki role on HashiCorp Vault

Create a PKI role

create

Create token on HashiCorp Vault

Create a new Vault token

create

Create transit key on HashiCorp Vault

Create a new Transit key

create

Create userpass user on HashiCorp Vault

Create a new Userpass user

decrypt

Decrypt transit on HashiCorp Vault

Decrypt data using Transit engine

delete

Delete kv secret on HashiCorp Vault

Delete the latest version of a KV v2 secret

enable

Enable audit device on HashiCorp Vault

Enable an audit device

enable

Enable auth method on HashiCorp Vault

Enable a new auth method

enable

Enable engine on HashiCorp Vault

Enable a new secrets engine

encrypt

Encrypt transit on HashiCorp Vault

Encrypt data using Transit engine

generate

Generate approle secret id on HashiCorp Vault

Generate a new Secret ID for an AppRole

generate

Generate aws creds on HashiCorp Vault

Generate dynamic AWS credentials

generate

Generate database creds on HashiCorp Vault

Generate dynamic database credentials

generate

Generate pki root on HashiCorp Vault

Generate a new PKI root certificate

get

Get init status on HashiCorp Vault

Check Vault initialization status

get

Get openapi spec on HashiCorp Vault

Generate OpenAPI V3 document of mounted backends

get

Get system health on HashiCorp Vault

Check Vault system health

github

Github login on HashiCorp Vault

initialize

Initialize vault on HashiCorp Vault

Initialize a new Vault cluster

issue

Issue pki cert on HashiCorp Vault

Issue a new PKI certificate

kubernetes

Kubernetes login on HashiCorp Vault

list

List acl policies on HashiCorp Vault

List ACL policies

list

List audit devices on HashiCorp Vault

List enabled audit devices

list

List auth methods on HashiCorp Vault

List enabled auth methods

list

List kv secrets on HashiCorp Vault

List secrets in a KV v2 engine path

list

List mounts on HashiCorp Vault

List mounted secrets engines

list

List token accessors on HashiCorp Vault

List token accessors (requires sudo)

lookup

Lookup lease on HashiCorp Vault

Lookup a lease by ID

lookup

Lookup self token on HashiCorp Vault

Lookup details about the current Vault token

map

Map github team on HashiCorp Vault

Map a GitHub team to Vault policies

read

Read kv metadata on HashiCorp Vault

Read metadata for a KV v2 secret

read

Read kv secret on HashiCorp Vault

Read a secret from KV v2 engine

renew

Renew lease on HashiCorp Vault

Renew a lease

renew

Renew self token on HashiCorp Vault

Renew the current Vault token

revoke

Revoke lease on HashiCorp Vault

Revoke a lease

revoke

Revoke pki cert on HashiCorp Vault

Revoke a PKI certificate

revoke

Revoke self token on HashiCorp Vault

Revoke the current Vault token

rotate

Rotate transit key on HashiCorp Vault

Rotate a Transit key

seal

Seal vault on HashiCorp Vault

Seal the Vault

unseal

Unseal vault on HashiCorp Vault

Unseal the Vault with a key share

userpass

Userpass login on HashiCorp Vault

write

Write kv secret on HashiCorp Vault

Create or update a secret in KV v2 engine

Connect HashiCorp Vault to Google ADK via MCP

Follow these steps to wire HashiCorp Vault into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 50 tools from HashiCorp Vault via MCP

Why Use Google ADK with the HashiCorp Vault MCP Server

Google ADK provides unique advantages when paired with HashiCorp Vault through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with HashiCorp Vault

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine HashiCorp Vault tools with BigQuery, Vertex AI, and Cloud Functions

HashiCorp Vault + Google ADK Use Cases

Practical scenarios where Google ADK combined with the HashiCorp Vault MCP Server delivers measurable value.

Enterprise data agents: ADK agents query HashiCorp Vault and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine HashiCorp Vault tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query HashiCorp Vault regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including HashiCorp Vault

Example Prompts for HashiCorp Vault in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with HashiCorp Vault immediately.

"Check the health and initialization status of my Vault server."

"Read the secret stored at 'secret/data/production/api-keys'."

"Renew my current Vault token for another hour."

Troubleshooting HashiCorp Vault MCP Server with Google ADK

Common issues when connecting HashiCorp Vault to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

HashiCorp Vault + Google ADK FAQ

Common questions about integrating HashiCorp Vault MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.