Observe.AI MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Observe.AI through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Observe.AI and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"observeai": {
"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 Observe.AI MCP Server
Connect your Observe.AI account to your AI agent and gain deep visibility into your contact center performance and conversation intelligence through natural conversation.
Windsurf's Cascade agent chains multiple Observe.AI 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
- Interaction Monitoring — List and inspect all calls, chats, and emails processed by the platform, including metadata and analysis.
- Full Transcripts — Retrieve the complete text transcripts for any call or chat interaction for detailed review.
- QA & Evaluations — Access quality assurance scores, evaluation forms, and individual agent performance metrics.
- AI Insights — View automated interaction summaries and identified business moments (e.g., Greetings, Objections).
- Coaching Oversight — Monitor agent coaching sessions and feedback logs to track improvement.
- Workspace Management — List all agents, supervisors, and admins in your Observe.AI instance.
The Observe.AI 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 Observe.AI to Windsurf via MCP
Follow these steps to integrate the Observe.AI 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 Observe.AI
Open Cascade and ask: "Using Observe.AI, help me...". 10 tools available
Why Use Windsurf with the Observe.AI MCP Server
Windsurf provides unique advantages when paired with Observe.AI 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
Observe.AI + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Observe.AI MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Observe.AI and generate models, types, or handlers based on real API responses
Live debugging: query Observe.AI tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Observe.AI and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Observe.AI data with Cascade's code generation to scaffold entire features in minutes
Observe.AI MCP Tools for Windsurf (10)
These 10 tools become available when you connect Observe.AI to Windsurf via MCP:
get_evaluation_details
Get specific evaluation info
get_interaction_details
Get specific interaction info
get_interaction_transcript
Get interaction transcript
list_coaching_sessions
List agent coaching sessions
list_evaluation_forms
List QA evaluation forms
list_interaction_moments
g. Greeting, Closing) across interactions. List identified key moments
list_interaction_summaries
List AI-generated summaries
list_interactions
AI. List contact center interactions
list_qa_evaluations
List QA evaluations
list_workspace_users
AI workspace. List workspace agents and users
Example Prompts for Observe.AI in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Observe.AI immediately.
"List all recent call interactions from today."
"What is the QA score for interaction ID 'int_12345'?"
"Show me the AI summaries for our latest interactions."
Troubleshooting Observe.AI MCP Server with Windsurf
Common issues when connecting Observe.AI to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Observe.AI + Windsurf FAQ
Common questions about integrating Observe.AI 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 Observe.AI 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 Observe.AI to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.