Bring B2b Intelligence
to Google ADK
Learn how to connect Dalil AI to Google ADK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Dalil AI MCP Server?
Connect your Dalil AI account to any AI agent to streamline your outbound sales and multichannel outreach through natural conversation. Dalil AI provides a powerful platform for discovering deep B2B intelligence, automating LinkedIn engagement, and tracking real-time buying signals across your lead pipeline.
What you can do
- Contact Orchestration — List and create potential prospects programmatically, retrieving detailed professional backgrounds and contact metadata to coordinate outreach
- LinkedIn Automation — Trigger the delivery of personalized messages and connection requests programmatically to maintain high-fidelity professional engagement
- Company Discovery — Access and monitor your tracked organizations and retrieve detailed firmographic and industry intelligence directly through your agent
- Signal Intelligence — Retrieve real-time buying signals for your contacts to prioritize high-intent opportunities and coordinate perfectly timed follow-ups
- Campaign Monitoring — Access your complete directory of outreach campaigns and monitor sales performance metrics directly from your agent
How it works
1. Subscribe to this server
2. Retrieve your Secret API Key from your Dalil AI dashboard settings (usedalil.ai)
3. Start enriching leads and automating your LinkedIn outreach from Claude, Cursor, or any MCP client
No more manual LinkedIn task management or missing high-intent buying signals. Your AI acts as your dedicated sales associate and outreach coordinator.
Who is this for?
- Sales Development (SDRs) — build highly targeted outreach lists and automate LinkedIn tasks using natural language commands
- Account Executives (AEs) — monitor buying signals across key accounts to identify high-intent opportunities without leaving your workspace
- Growth Marketers — integrate real-time sales intelligence and automated outreach into custom growth workflows through simple AI queries
Built-in capabilities (6)
Pass data as a JSON string. Create a new contact
Get buying signals for a contact
List outreach campaigns
List all tracked companies
List all Dalil contacts
Pass data in JSON. Send a LinkedIn message via Dalil
Why Google ADK?
Google ADK natively supports Dalil AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Dalil AI
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Dalil AI tools with BigQuery, Vertex AI, and Cloud Functions
Dalil AI in Google ADK
Dalil AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Dalil AI to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Dalil AI in Google ADK
The Dalil AI 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Dalil AI for Google ADK
Every tool call from Google ADK to the Dalil AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Dalil AI API Key?
Log in to your account at usedalil.ai, navigate to Settings or API, and copy your unique secret key.
Can I automate LinkedIn messages with dynamic text?
Yes! The send_linkedin_message tool allows your agent to dispatch personalized content directly to a contact's LinkedIn profile.
What kind of buying signals does Dalil provide?
Dalil provides real-time indicators such as job changes, company funding rounds, and strategic shifts that signal high purchase intent.
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.
McpToolset not found
Update: pip install --upgrade google-adk