Protobuf Transpiler Connector for AI agents.
3 live capabilities
Convert gRPC definitions into valid JSON Schemas.
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Why people use Protobuf Transpiler
Stop manually translating Protobuf definitions with Protobuf to JSON Schema Transpiler
This MCP automates the whole thing. You just give it the string, and you get a valid schema back for your agent to use immediately.
What Vinkius changes
You get valid, actionable JSON Schemas from Protobuf without running a compiler.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Validating API requests
An engineer needs to check if a JSON payload matches a gRPC service definition, so they ask their agent to transpile the proto and validate the data.
- Real-world use case 02
Documenting microservices
A developer uses the MCP to quickly generate human-readable summaries of complex message definitions for team documentation.
- Real-world use case 03
Debugging nested structures
When a schema fails to parse, an engineer uses the scan capability to find hidden complexity or advanced features.
Complete set · 3capabilities
The complete Protobuf Transpiler capability set.
These are the exact actions your AI can choose when you ask it to work with Protobuf Transpiler.
01—03
3 capabilities in this set.
Part of 3 available through Protobuf Transpiler.
- 01 Capability
Summarize message definitions
Extracts and lists all message types found in your schema. This gives your agent a quick overview of the available data structures.
- 02 Capability
Transpile proto to json schema
Transforms raw Protobuf strings into structured JSON Schema objects. It handles type mapping like integers and arrays automatically.
- 03 Capability
Scan for complex elements
Scans your Protobuf definitions to find advanced or nested features. It helps you identify where a schema might be too complex for simple processing.
Set up in minutes
One URL. Then ask Protobuf Transpiler to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Protobuf Transpiler from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Protobuf Transpiler, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Protobuf Transpiler for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Protobuf Transpiler URL.
- Step 03
Save and start
Save the connection and enable Protobuf Transpiler in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"protobuf-to-json-schema-transpiler": {
"url": "https://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Protobuf Transpiler
Open Agent mode in chat and ask: "Using Protobuf Transpiler, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"protobuf-to-json-schema-transpiler": {
"url": "https://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Protobuf Transpiler
Ask Copilot: "Using Protobuf Transpiler, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"protobuf-to-json-schema-transpiler": {
"url": "https://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Protobuf Transpiler
Open Cascade and ask: "Using Protobuf Transpiler, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"protobuf-to-json-schema-transpiler": {
"url": "https://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Protobuf Transpiler
Ask Cline: "Using Protobuf Transpiler, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add protobuf-to-json-schema-transpiler --transport http "https://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Protobuf Transpiler
Ask Claude: "Using Protobuf Transpiler, show me...". 3 tools are ready
Where the request belongs
Work Protobuf Transpiler can move forward.
Backend engineers and API developers who need their AI agents to interact with gRPC-based microservices without manual schema translation.
Backend Engineer
Validating incoming request payloads against existing Protobuf definitions using an agent.
API Developer
Generating documentation or test cases for gRPC services by converting schemas on the fly.
QA Automation Engineer
Creating automated validation scripts that rely on JSON Schema derived from proto files.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
JSON Schema Validator and Flattener
Strictly validate JSON against schemas and flatten nested structures using dot notation.
JSON Schema Validator
Validate JSON documents and lint schemas for structural integrity.
Type Definition Consistency Checker
Ensure structural and type-level synchronization between TypeScript interfaces, Zod schemas, and Pydantic models.
JSON Schema Strict Validator
Perform deterministic JSON validation against Draft-07 and 2020-12 schemas with strict property enforcement.
JSON Schema Function Call Validator
Verify that LLM-generated JSON function calls strictly adhere to your defined JSON Schemas.
GraphQL Schema Breaking Change Detector
Identify breaking changes in GraphQL schemas by comparing SDL strings.
Bring your own AI
Change the model, client or framework. Keep Protobuf Transpiler connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Protobuf Transpiler.
The practical details behind the request, access and result.
How can I use Protobuf to JSON Schema Transpiler to validate my API calls?
You can ask your agent to transpile your .proto file into a JSON Schema. Once converted, your agent can use that schema to check if your incoming JSON payloads are valid.
Does Protobuf to JSON Schema Transpiler handle complex types like arrays?
Yes. It automatically maps protobuf repeated fields into standard JSON array types, ensuring your agent understands the collection structure.
Can I see a summary of all messages in my proto file with this MCP?
Absolutely. You can use the summarization feature to get a high-level list of every message definition found within your schema at once.
Will the Protobuf to JSON Schema Transpiler work with any AI client?
Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf. Once connected via Vinkius, your agent can use these capabilities immediately.
How do I find advanced features in my schema using Protobuf to JSON Schema Transpiler?
You can run a scan specifically designed to identify complex or nested elements. This helps you understand if your schema contains advanced protobuf features that might require special handling.
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.
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.
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.
One connection away
Give your agent a direct line to Protobuf Transpiler.
Connect Protobuf Transpiler once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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