Compatible with every major AI agent and IDE
What is the Regex High-Perf Parser MCP Server?
When asked to find 'all IPv4 addresses' or 'all order IDs' in a 10,000-line log file, LLMs will frequently drop results or truncate the response due to context limits. The Regex High-Perf Parser executes standard V8 Regular Expressions strictly on the local runtime, returning a complete, deterministic JSON array of every single match found. Zero dropped entities, zero hallucinations.
Built-in capabilities (1)
You provide the text and the regex, and this tool returns an exact array of matches. Extracts exact string matches from a large text using Regular Expressions (Regex)
Why Google ADK?
Google ADK natively supports Regex High-Perf Parser as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 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 Regex High-Perf Parser
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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 Regex High-Perf Parser tools with BigQuery, Vertex AI, and Cloud Functions
Regex High-Perf Parser in Google ADK
Regex High-Perf Parser and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Regex High-Perf Parser 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 | 4,000+ 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 Regex High-Perf Parser in Google ADK
The Regex High-Perf Parser 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 1 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
Regex High-Perf Parser for Google ADK
Every tool call from Google ADK to the Regex High-Perf Parser MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Why shouldn't I just ask the LLM to extract data?
LLMs truncate long outputs. If a log file contains 800 email addresses, the LLM will output a few and say '...and so on'. This tool guarantees 800/800 extractions.
Does it support Regex flags?
Yes, you can pass standard flags like 'g' (global), 'i' (case-insensitive), or 'm' (multiline).
Is it secure for large logs?
Yes, V8 Regex engine is optimized in C++, executing extractions over multi-megabyte strings in milliseconds.
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
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