Technical Writing Prover Connector for AI agents.
1 live capability
Ensure your developer documentation is accurate, structured, and ready for production.
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Why people use Technical Writing Prover
Technical Writing Prover: Fixing the Wall of Text in Developer Docs
Technical Writing Prover changes this by enforcing the Diátaxis framework. It forces your agent to organize content into tutorials, how-to guides, references, or explanations so your readers don't get lost. Instead of a messy pile of info, you get a structured guide where the reader knows exactly what to do next.
What Vinkius changes
You get production-ready documentation that actually helps users instead of confusing them.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
API Documentation Audit
A developer wants to know if their new Auth API guide is clear enough for a frontend user.
- Real-world use case 02
Tutorial Verification
A team wants to make sure their 'Getting Started' guide actually works for beginners.
- Real-world use case 03
Internal Knowledge Base
A manager wants to turn messy Slack threads into structured internal how-to guides.
Complete set · 1capability
The complete Technical Writing Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Technical Writing Prover.
01
1 capability in this set.
Part of 1 available through Technical Writing Prover.
- 01 Capability
Validate technical writing
This capability checks your documentation for audience definition, Diátaxis structure, and working examples. It provides a specific verdict and coaching on how to fix identified gaps like missing error paths or vague terms.
Set up in minutes
One URL. Then ask Technical Writing Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Technical Writing Prover 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_OWaZOabijYQqiXzNKgOGtWneCoMKT68VO6tDqnNd/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 Technical Writing Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Technical Writing Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_OWaZOabijYQqiXzNKgOGtWneCoMKT68VO6tDqnNd/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 Technical Writing Prover URL.
- Step 03
Save and start
Save the connection and enable Technical Writing Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"technical-writing-prover": {
"url": "https://edge.vinkius.com/vk_preview_OWaZOabijYQqiXzNKgOGtWneCoMKT68VO6tDqnNd/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 Technical Writing Prover
Open Agent mode in chat and ask: "Using Technical Writing Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"technical-writing-prover": {
"url": "https://edge.vinkius.com/vk_preview_OWaZOabijYQqiXzNKgOGtWneCoMKT68VO6tDqnNd/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 Technical Writing Prover
Ask Copilot: "Using Technical Writing Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"technical-writing-prover": {
"url": "https://edge.vinkius.com/vk_preview_OWaZOabijYQqiXzNKgOGtWneCoMKT68VO6tDqnNd/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 Technical Writing Prover
Open Cascade and ask: "Using Technical Writing Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"technical-writing-prover": {
"url": "https://edge.vinkius.com/vk_preview_OWaZOabijYQqiXzNKgOGtWneCoMKT68VO6tDqnNd/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 Technical Writing Prover
Ask Cline: "Using Technical Writing Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add technical-writing-prover --transport http "https://edge.vinkius.com/vk_preview_OWaZOabijYQqiXzNKgOGtWneCoMKT68VO6tDqnNd/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 Technical Writing Prover
Ask Claude: "Using Technical Writing Prover, show me...". 1 tools are ready
Where the request belongs
Work Technical Writing Prover can move forward.
This is for the developer experience (DX) engineer who needs to keep API docs accurate, the technical writer who wants to maintain a consistent brand voice, and the product manager who needs to audit internal guides before a launch.
Developer Experience (DX) Engineer
Uses this to ensure external API documentation is scannable and that code examples don't break for new users.
Technical Content Writer
Uses this to maintain a consistent, active-voice style across large technical manuals and internal wikis.
Product Manager
Uses this to quickly audit internal 'how-to' guides for new features to ensure they meet minimum requirements.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Article Architect
Technical blog posts written by AI read like documentation. step 1, step 2, step 3, no argument, no tradeoffs, no opinion. Article Architect forces the agent to take a position, expose limitations, plan code as evidence, cite production data, and define a reader transformation.
Scribe
Create step-by-step guides and SOPs automatically by recording your workflow and generating visual documentation instantly.
Task Completion Enforcer Prover
An AI was asked to build 5 API endpoints, write tests, and update documentation. It built 3 endpoints, left TODO comments in the tests, never touched the documentation, and declared 'Done! Let me know if you need anything else.' The user spent 40 minutes finding the gaps. This happens every single day, on every LLM, in every coding session. This capability forces five completion axes: requirement extraction, completion evidence, gap identification, continuation execution, and final verification against the original request.
DevRel Voice Prover
AI agents write developer content that sounds like a press release. This capability forces authentic developer-to-developer voice: community-aware context, value over features, actionable code paths, and genuine engagement. No corporate speak, no feature dumps.
Archbee
Manage documentation spaces, sync OpenAPI specs, and organize technical knowledge directly from your AI agent.
ReadMe
Equip your AI to directly search, read, and manage developer documentation stored in your ReadMe project.
Bring your own AI
Change the model, client or framework. Keep Technical Writing Prover 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 Technical Writing Prover.
The practical details behind the request, access and result.
Can Technical Writing Prover help me write better API docs?
Yes. It forces your AI agent to follow professional standards like the Diátaxis framework, ensuring your docs are structured correctly for the specific audience you are targeting.
Does this capability check for correct grammar?
It focuses on technical clarity. It specifically identifies and removes passive voice and vague terms to make your instructions direct and easy to follow.
How does it help with developer experience?
It ensures that developers don't get stuck on broken code examples or missing prerequisites, which reduces frustration and helps them complete their tasks faster.
Can I use it for internal company wikis?
Absolutely. It works for any technical documentation, including internal how-to guides and knowledge base articles, by enforcing a consistent and clear structure.
What is the Diátaxis framework it uses?
Diátaxis is a framework that helps organize documentation into four types: tutorials for learning, how-tos for tasks, references for information, and explanations for understanding.
Does it actually check if the code works?
It requires your agent to provide copy-pasteable blocks with expected outputs and specific runtime versions, ensuring the code is ready for production use.
Does it write documentation?
No. It validates that documentation meets five quality standards. defined audience, task-based structure, working examples, eliminated ambiguity, and verified completeness. It does not generate text. It forces you to prove your text is publication-ready.
What is the Diátaxis framework?
Diátaxis classifies documentation into four types based on reader need: tutorials (learning-oriented, guided steps), how-to guides (task-oriented, goal-focused), reference (information-oriented, API specs), and explanation (understanding-oriented, conceptual). Each type has different structural requirements. Mixing them produces documentation that serves none well.
Can it validate non-code documentation like architecture decision records?
Yes. For conceptual documents (ADRs, RFCs, design docs), the examplesWorking pivot applies to illustrative diagrams, data flow descriptions, or before/after comparisons instead of code blocks. The capability adapts to the document type. but the other four pivots (audience, structure, ambiguity, completeness) apply to every technical document regardless of type.
One connection away
Give your agent a direct line to Technical Writing Prover.
Connect Technical Writing Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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