Bring Social Listening
to Google ADK
Learn how to connect X (Twitter) to Google ADK and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the X (Twitter) MCP Server?
Connect your X (Twitter) developer account to any AI agent and take full control of your social listening workflow through natural conversation.
What you can do
- Recent Tweet Search — Search for latest public discussions (up to past 7 days) across the network using exact keywords, hashtags, or handles
- User Lookups — Fetch precise profile metadata of a specific user by their @username, revealing follower counts, verified states, and biographies
- Tweet Introspection — Provide a raw Tweet ID and instantly collect isolated text content alongside full engagement metrics (likes, retweets)
How it works
1. Subscribe to this server
2. Enter your X (Twitter) App Bearer Token
3. Start scanning social data securely from Claude, Cursor, or any MCP-compatible client
No need to scrape HTML or fiddle with complex Postman queries. Your AI agent becomes your eyes on the timeline.
Who is this for?
- Founders & Creators — track brand mentions or specific niche keywords to respond early to sentiment shifts
- Product Researchers — pull lists of recent tweets about competitors and ask the agent to summarize common user pain points
- Marketing Teams — audit influencers' engagement by checking exact follower counts and most prominent tweets in seconds
Built-in capabilities (3)
Retrieve the text and engagement metrics of a specific Tweet by its numeric ID
Do not include the "@" symbol. Fetch full details of a specific Twitter/X user by their @username (follower count, bio, verified status)
Provide a search query string. Search for recent public tweets (up to last 7 days) using keywords, hashtags, or handles
Why Google ADK?
Google ADK natively supports X (Twitter) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 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 X (Twitter)
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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 X (Twitter) tools with BigQuery, Vertex AI, and Cloud Functions
X (Twitter) in Google ADK
X (Twitter) and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect X (Twitter) 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 X (Twitter) in Google ADK
The X (Twitter) 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 3 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
X (Twitter) for Google ADK
Every tool call from Google ADK to the X (Twitter) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI search for tweets containing a specific competitor's hashtag?
Yes. Ask the agent to run a recent search tool utilizing your query (e.g., '#competitor'). It will grab the last 10 matching tweets within seconds, giving you raw sentiment and user commentary without opening the app.
How far back in time can the agent search for tweets?
The tool uses the standard v2 API limited to Recent Searches. This means the agent can perfectly fetch any matching tweets published in the last 7 days. It is optimized for reactive, fast-paced monitoring workflows.
Can it tell me if a specific user is verified or how many followers they have?
Absolutely. Providing the agent with the user's handle will invoke the lookup tool. It returns exactly what the developer sees: the verified status, follower metrics, account description, and geographic location if public.
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.
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Update: pip install --upgrade google-adk