Compatible with every major AI agent and IDE
What is the Regex Toolkit MCP Server?
Parsing unstructured text to find contact information is a classic LLM vulnerability. AI models often "guess" email boundaries or invent fake phone numbers when summarizing text. The Regex Toolkit MCP enforces strict mathematical patterns to guarantee 100% extraction and validation accuracy.
The Superpowers
- Flawless Extraction: Pull every single valid Email, URL, or Phone number from a giant block of text instantly into a clean JSON array.
- Zero-Trust Validation: Ensure that user inputs are structurally perfect before passing them to external databases or CRMs.
- PII Redaction Engine: Instantly mask sensitive client data (
[EMAIL_REDACTED]) before generating public reports or passing context to unsecure layers. - Privacy First (Local): Your data never leaves your infrastructure. The regex engine compiles and executes entirely locally.
Built-in capabilities (3)
Extracts all unique emails, URLs, or phone numbers from a large body of text
Redacts sensitive PII (emails, phones, URLs) from a text blob by replacing them with [REDACTED] tags
Validates if a single string perfectly matches an email, URL, or phone format
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 3 tools from Regex Toolkit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Regex Toolkit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
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
- —
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 Toolkit in OpenAI Agents SDK
Regex Toolkit and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Regex Toolkit 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 Toolkit in OpenAI Agents SDK
The Regex Toolkit 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 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 Toolkit for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Regex Toolkit MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Why use this instead of asking the AI to find the emails?
Because LLMs predict text probabilistically. They might miss emails embedded in weird characters (like contact@company.com. with a trailing dot) or hallucinate non-existent addresses. Regex provides mathematical certainty.
Does the PII masking send data to the cloud?
Never. The mask_sensitive_data tool runs exclusively on your local Javascript engine (V8). It acts as a local firewall, ensuring sensitive strings are redacted before any external processing happens.
What format of phone numbers are supported?
The regex captures international formats with country codes (e.g., +1, +55), optional parentheses for area codes, and spacing/hyphens commonly used globally.
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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