Metatext MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Metatext through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Metatext and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"metatext": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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
About Metatext MCP Server
Connect your Metatext account to any AI agent and take full control of your NLP models and data pipelines through natural conversation.
Windsurf's Cascade agent chains multiple Metatext tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Model Orchestration — List all trained NLP models and fetch detailed metadata and training statuses
- Real-time Inference — Programmatically run predictions, classifications, and extractions using your deployed models
- Dataset Management — Enumerate datasets and create new records for model training or evaluation
- Deployment Monitoring — List active model deployments and retrieve account usage information
- Search & Discovery — Search for specific NLP models by name to quickly access their capabilities
The Metatext MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Metatext to Windsurf via MCP
Follow these steps to integrate the Metatext MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Metatext
Open Cascade and ask: "Using Metatext, help me...". 10 tools available
Why Use Windsurf with the Metatext MCP Server
Windsurf provides unique advantages when paired with Metatext through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Metatext + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Metatext MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Metatext and generate models, types, or handlers based on real API responses
Live debugging: query Metatext tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Metatext and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Metatext data with Cascade's code generation to scaffold entire features in minutes
Metatext MCP Tools for Windsurf (10)
These 10 tools become available when you connect Metatext to Windsurf via MCP:
create_dataset_record
Create a new record in a dataset
get_account_info
Get account information
get_dataset_details
Get details for a specific dataset
get_model_details
Get details for a specific model
list_dataset_records
List records in a dataset
list_model_deployments
List active model deployments
list_nlp_datasets
List all datasets
list_nlp_models
List all trained NLP models
run_model_inference
Run prediction on a model
search_nlp_models
Search models by name
Example Prompts for Metatext in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Metatext immediately.
"List all my trained NLP models in Metatext."
"Analyze this text with model ID 'mod_123': 'I love this product!'"
"Add a new record to dataset 'ds_987' with text 'Refund requested' and label 'Support'."
Troubleshooting Metatext MCP Server with Windsurf
Common issues when connecting Metatext to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Metatext + Windsurf FAQ
Common questions about integrating Metatext MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Metatext with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Metatext to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
