Bring Llm Observability
to AutoGen
Create your Vinkius account to connect Chainlit to AutoGen and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Chainlit MCP Server?
Connect your Chainlit Cloud projects to any AI agent and embrace a new paradigm of conversational observability. Analyze your AI app traffic directly from your terminal or chat.
What you can do
- Project Analytics — Trigger detailed data fetches mapping global traffic statistics, distinct user adoptions, and absolute utilization figures across your AI portfolio.
- Thread Introspection — Query explicit interaction boundaries isolating full chronological conversations from users securely and swiftly.
- Trace Logic Steps — Extrapolate internal logic jumps identifying explicit prompts, outputs, tool executions, and retrieval boundaries used per interaction.
- Qualitative Feedback — Automatically extract lists capturing precise thumbs up/down, implicit ratings, and explicit textual user reviews targeting your bot responses.
How it works
- Subscribe to this server
- Introduce your Chainlit Cloud URL and Project API Key
- Start fetching and diagnosing chat failures directly using Claude, Cursor, or compatible AI layers.
Who is this for?
- AI Developers — Instantly diagnose why a model failed in production by demanding the exact logical sequence and parameter stack used on a specific bad output.
- Product Teams — Monitor the absolute sum of positive feedbacks vs. negative outcomes, prompting your LLM to summarize the worst chats automatically.
- QA Specialists — Periodically poll new conversations evaluating tone, relevance, and compliance parameters blindly spanning hundreds of hours without reading logs manually.
Built-in capabilities (6)
Retrieve explicit analytics statistics representing traffic boundaries and resource consumptions over native projects
Retrieve the exact payload for a specific conversational thread locating exact node topologies
List absolute user review feedbacks rating explicitly conversational accuracy and value across deployments
List explicit globally configured Chainlit Cloud projects managing independent app tracking spaces
List raw programmatic interaction steps explicitly defining prompts and generations inside a single thread
List conversational threads identifying user interaction boundaries inside a specific deployed project
Why AutoGen?
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Chainlit tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Chainlit tools to solve complex tasks
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Role-based architecture lets you assign Chainlit tool access to specific agents. a data analyst queries while a reviewer validates
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Human-in-the-loop support: agents can pause for human approval before executing sensitive Chainlit tool calls
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Code execution sandbox: AutoGen agents can write and run code that processes Chainlit tool responses in an isolated environment
Chainlit in AutoGen
Why run Chainlit with Vinkius?
The Chainlit connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Chainlit using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Chainlit and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Chainlit to AutoGen through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Chainlit for AutoGen
Every request between AutoGen and Chainlit is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Will the AI agent be able to monitor the user interactions and evaluate chat history?
Yes! The agent can dive into the list_threads and get_thread endpoints to retrieve comprehensive interaction logs from your deployed Chainlit apps. You can essentially command the agent to read past AI chats, summarize usage, or identify edge cases in the user input.
Can it track the individual thought steps and LLM prompt tokens consumed?
Absolutely. Using the list_steps tool, your agent analyzes the programmatic trace—including specific LLM calls, function blocks, or retrieval events. Thus, identifying hallucinations or latency issues is as easy as typing a prompt.
Is it possible to extract and analyze human feedback scores instantly?
Yes. The integration provides native capabilities via list_feedbacks to retrieve the explicit thumbs up, down, and textual comments your users left on specific messages, streamlining QA.
How does AutoGen connect to MCP servers?
Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Chainlit tools during their conversation turns.
Can different agents have different MCP tool access?
Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
Does AutoGen support human approval for tool calls?
Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.
McpWorkbench not found
Install: pip install "autogen-ext[mcp]"
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