Observe.AI Connector for AI agents.
10 live capabilities
Analyze contact center transcripts and QA scores with natural language.
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Why people use Observe.AI
Observe.AI for Contact Center QA Analysis
With this Connector, you just ask your agent to find the transcript for a specific interaction or list the last ten QA evaluations. It pulls the data directly into your chat, letting you compare scores and summarize feedback in one place. You spend less time clicking and more time actually coaching your team.
What Vinkius changes
You get a direct line to your conversation intelligence data without leaving your chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
QA Audit
An analyst needs to find all calls with negative sentiment from yesterday.
- Real-world use case 02
Coaching Prep
A supervisor wants to see if an agent has been coached on billing issues.
- Real-world use case 03
Standup Briefing
A manager wants a quick summary of the morning's calls.
Complete set · 10capabilities
The complete Observe.AI capability set.
These are the exact actions your AI can choose when you ask it to work with Observe.AI.
01—04
4 capabilities in this set.
Part of 10 available through Observe.AI.
- 01 Capability
List qa evaluations
Get a list of all quality assurance scores across your platform. Use this to find high or low performing interactions quickly.
- 02 Capability
Get interaction details
Get the metadata and core info for a specific call or chat. Use this to quickly identify the length and sentiment of an interaction.
- 03 Capability
Get interaction transcript
Fetch the full text of a conversation. This is the best way to let your agent read the actual words spoken by the customer.
- 04 Capability
List coaching sessions
See a list of all recorded coaching sessions for your agents. It helps you track how often and with whom your team is being mentored.
05—07
3 capabilities in this set.
Part of 10 available through Observe.AI.
- 05 Capability
List evaluation forms
See the different rubrics and forms used for quality checks. This helps you understand the criteria being used to grade your staff.
- 06 Capability
List interactions
Get a list of all calls, chats, and emails in your system. This is your starting point for finding any specific customer conversation.
- 07 Capability
List interaction moments
Find specific parts of a call like greetings or objections. This lets you see exactly when a customer becomes frustrated or asks a question.
08—10
3 capabilities in this set.
Part of 10 available through Observe.AI.
- 08 Capability
List interaction summaries
See the AI-generated summaries for your recent conversations. It's a fast way to get the gist of dozens of calls in one go.
- 09 Capability
List workspace users
Get a list of all agents and supervisors in your workspace. Use this to identify the right people for specific coaching tasks.
- 10 Capability
Get evaluation details
Pull specific data points from a quality assurance evaluation. This helps you see exactly where an agent succeeded or failed a specific rubric.
Set up in minutes
One URL. Then ask Observe.AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Observe.AI 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_Yt1IMcTvBNoJxvLVhLpLcL7a2RoEMKVbzjuBuyhf/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 Observe.AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Observe.AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Yt1IMcTvBNoJxvLVhLpLcL7a2RoEMKVbzjuBuyhf/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 Observe.AI URL.
- Step 03
Save and start
Save the connection and enable Observe.AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"observeai": {
"url": "https://edge.vinkius.com/vk_preview_Yt1IMcTvBNoJxvLVhLpLcL7a2RoEMKVbzjuBuyhf/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 Observe.AI
Open Agent mode in chat and ask: "Using Observe.AI, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"observeai": {
"url": "https://edge.vinkius.com/vk_preview_Yt1IMcTvBNoJxvLVhLpLcL7a2RoEMKVbzjuBuyhf/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 Observe.AI
Ask Copilot: "Using Observe.AI, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"observeai": {
"url": "https://edge.vinkius.com/vk_preview_Yt1IMcTvBNoJxvLVhLpLcL7a2RoEMKVbzjuBuyhf/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 Observe.AI
Open Cascade and ask: "Using Observe.AI, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"observeai": {
"url": "https://edge.vinkius.com/vk_preview_Yt1IMcTvBNoJxvLVhLpLcL7a2RoEMKVbzjuBuyhf/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 Observe.AI
Ask Cline: "Using Observe.AI, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add observeai --transport http "https://edge.vinkius.com/vk_preview_Yt1IMcTvBNoJxvLVhLpLcL7a2RoEMKVbzjuBuyhf/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 Observe.AI
Ask Claude: "Using Observe.AI, show me...". 10 tools are ready
Where the request belongs
Work Observe.AI can move forward.
This is for the contact center leads and QA analysts who are drowning in transcripts and need a way to surface the right data fast.
QA Analyst
Pulls transcripts for specific accounts to verify compliance and sentiment on a Tuesday afternoon.
Contact Center Manager
Checks high-level summaries and interaction moments during morning standups to spot trends.
Team Coach
Reviews coaching logs and agent progress to build better training plans for the week.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Real-time contact center analytics. monitor queues, agent performance, and live metrics via AI.
Five9
Monitor agents, manage call states, and track real-time contact center stats via AI agents with Five9.
Jiminny
Coach your sales team with conversation intelligence that records calls, identifies winning behaviors, and forecasts deals.
Chorus.ai (ZoomInfo)
Analyze sales conversations and meetings via Chorus.ai. track transcripts, identify key moments, and monitor team performance directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Observe.AI 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 Observe.AI.
The practical details behind the request, access and result.
Can the Observe.AI MCP help my team find specific call transcripts?
Yes, it lets your AI agent pull the full text of any call, chat, or email instantly. You can ask for a specific interaction ID or search for conversations based on the customer's problem.
How does this Connector help with quality assurance?
It allows you to pull QA scores and evaluation details directly into your chat. You can quickly see how agents are performing against your specific rubrics without opening the Observe.AI dashboard.
Can I use this to see how my agents are being coached?
Yes, you can list all coaching sessions and review the feedback logs. This makes it easy to track an agent's progress and see which coaching topics have been covered.
Does the Observe.AI MCP provide summaries of customer calls?
It does. Your agent can pull AI-generated summaries for recent interactions, giving you a quick way to understand the gist of many calls in seconds.
Is this Connector good for identifying common customer objections?
Definitely. You can use it to list interaction moments, which helps you see exactly when customers are raising specific objections or asking questions during a call.
Can my AI agent see who is in my Observe.AI workspace?
Yes, the Connector can list all agents, supervisors, and admins in your instance. This helps you quickly identify the right people for coaching or reporting.
How do I get an Observe.AI API Key?
You can find your API Key in the Observe.AI dashboard under Settings > API Keys. This token is used as a Bearer Token for authentication.
Can I read full call transcripts through the agent?
Yes! Use the get_interaction_transcript capability with a specific Interaction ID to retrieve the full text content of the conversation.
What information is included in the QA evaluations?
Evaluations include the QA form used, individual section scores, overall score, and specific feedback or comments provided by the evaluator.
One connection away
Give your agent a direct line to Observe.AI.
Connect Observe.AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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