Bring Multi Agent Systems
to Pydantic AI
Create your Vinkius account to connect Relevance AI to Pydantic AI and start using all 10 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 Relevance AI MCP Server?
Connect your conversational AI to your Relevance AI workspace. By wrapping your custom agents, datasets, and API tools into this MCP extension, you transform your chat interface into a command center for orchestrating complex, autonomous AI operations and large-scale data workflows.
What you can do
- Orchestrate Agents — Command your pre-built autonomous agents to execute tasks (
trigger_agent). Monitor their progress and read their exact reasoning steps dynamically (get_agent_run). Uselist_agentsto discover all available AI worker configurations. - Execute Tasks & Workflows — Trigger predefined chained prompts or specific micro-tasks without leaving your chat (
trigger_task), scaling repetitive workflows reliably. - Manage Knowledge Datasets — Take full control of your vector databases and tables. Insert new rows of knowledge directly from conversational context (
insert_documents), retrieve raw unstructured data entries (get_documents), or surgically delete obsolete knowledge base items (delete_documents).
How it works
- Add the Relevance AI extension to your MCP hub.
- Supply your
Project ID,API Key, and your assignedRegion(e.g., "us-east-1" or "v2") from your Relevance AI settings. - Prompt your assistant: "Trigger the 'Lead Research' agent with the company name 'Google' and monitor the run until completion. Then, insert the output directly into our 'competitors' dataset."
Who is this for?
- AI Engineers & Builders — Run end-to-end tests on your chained logic and customized agents directly from your terminal or chat without touching the studio GUI.
- Data Analysts — Move processed insights, raw texts, and structured metadata into Relevance AI datasets using natural language.
- Operations Teams — Combine the output of your everyday AI chat intimately with your specialized Relevance AI autonomous agents for highly productive compounding workflows.
Built-in capabilities (10)
This action is irreversible. Deletes documents from a dataset by their IDs
Retrieves the status and logs of a specific agent run
Retrieves documents from a dataset
Provide documents as a JSON array of objects. Inserts documents into a dataset
Lists all AI agents in the Relevance AI studio
Lists all datasets (knowledge tables) in the project
Lists all tasks (chained prompts) in the studio
Lists all custom tools registered in the studio
Provide inputs as a JSON object. Triggers an AI agent execution
Triggers a specific task execution
Why Pydantic AI?
Pydantic AI validates every Relevance AI tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Relevance AI integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Relevance AI connection logic from agent behavior for testable, maintainable code
Relevance AI in Pydantic AI
Why run Relevance AI with Vinkius?
The Relevance AI 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 10 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 Relevance AI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Relevance AI and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Relevance AI to Pydantic AI 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
Relevance AI for Pydantic AI
Every request between Pydantic AI and Relevance AI 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
Can the agent monitor a long-running relevance AI agent task?
Yes. You can trigger an agent using trigger_agent, and because it provides a run_id, you can explicitly prompt your local Assistant to periodically "check in on the status using get_agent_run every minute until finished" or ask it to summarize the step-by-step agent logs after completion.
What is the differences between tasks, tools, and agents in Relevance AI?
Agents are autonomous workers capable of making step-by-step reasoning choices based on instructions and tools. Tasks are linear, pre-chained sets of commands and prompts. Tools (list_tools) are the individual capabilities, like a custom API integration or web scraper, that tasks and agents utilize to perform their actions.
How do I find my specific Region and Project ID?
These details are typically nested within the URL string when you are logged into your workspace or found globally in your developer API keys configuration pane inside your Relevance AI team dashboard. The Region is usually something like 'us-east-1' or 'v2'.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Relevance AI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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