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Connect Protobuf To JSON Schema Transpiler to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn gRPC definitions into structured data for your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Protobuf Transpiler.

  1. 01

    Summarize message definitions

    Provides a high-level summary of all messages found within a schema.

  2. 02

    Transpile proto to JSON schema

    Converts a Protobuf schema string into a structured JSON Schema object by mapping types to standard JSON formats.

  3. 03

    Scan for complex elements

    Identifies advanced Protobuf features within a schema to help you understand its complexity.

Real work

What teams actually run

01

Agentic Data Validation

Your agent uses the converted JSON Schema to check if incoming data matches your Protobuf definitions.

02

Schema Inspection

You quickly scan a large .proto file to see how many messages are defined.

03

Automated Documentation

The agent summarizes message structures to create human-readable overviews of a service.

04

Complexity Auditing

You use the scan capability to find nested or advanced elements before deploying an agent to a service.

One connector, every AI

Protobuf Transpiler works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Protobuf Transpiler to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

678ms average. Fast in production.

Protobuf Transpiler is checked daily against the live service.

Daily averagePeak 778ms
Oct 3Today
Fastest day
548ms
Slowest day
778ms
14-day trend
Improving-7%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Protobuf Transpiler, so you can see the experience inside your AI.

It does not authenticate your account with Protobuf Transpiler. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Protobuf Transpiler Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Protobuf Transpiler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "protobuf-to-json-schema-transpiler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Protobuf Transpiler in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Protobuf Transpiler owners hand off.

This is built for engineers working with gRPC and Protobuf who need to feed schema context into AI agents.

  • 01

    Backend Engineers

    They hand off .proto files to the agent to generate validation logic.

  • 02

    Data Engineers

    They use it to translate service definitions into formats compatible with data pipelines.

  • 03

    AI Developers

    They provide schema context to agents so they can interact with gRPC services.

FAQ

Questions Protobuf Transpiler owners ask.

  • 01

    Do I need to install a Protobuf compiler?

    No. This MCP handles the transpilation directly, so you don't need a full compiler environment to work with your schemas.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    How does it handle repeated fields?

    The transpiler maps Protobuf repeated fields to standard JSON arrays.

  • 04

    Can it detect nested messages?

    Yes, you can use the scan capability to identify nested message structures and other complex elements.

  • 05

    Is the conversion deterministic?

    Yes, the transpiler provides deterministic conversion from .proto definitions to JSON Schema objects.

  • 06

    What does the transpile_proto_to_json_schema capability do?

    It takes a raw Protobuf string and converts it into a functional JSON Schema, identifying messages, fields, and types.

  • 07

    Can I check for repeated fields in my schema?

    Yes, you can use the scan_for_complex_elements capability to detect if your schema contains repeated fields or nested structures.

  • 08

    How can I get a quick overview of my message definitions?

    Use the summarize_message_definitions capability to retrieve a list of all identified message names and the total field count.

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