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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 1 tools from Regex High-Perf Parser through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Regex High-Perf Parser, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Regex High-Perf Parser in OpenAI Agents SDK
Regex High-Perf Parser and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Regex High-Perf Parser to OpenAI Agents SDK 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 OpenAI Agents SDK
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 OpenAI Agents SDK 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 OpenAI Agents SDK
Every tool call from OpenAI Agents SDK 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 the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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