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pydantic-ai-researcher

pydantic-ai-researcher is a research system that orchestrates an asynchronous loop between two specialized agents: a research agent and an evaluator agent. The research agent answers complex queries using external MCP servers, while the evaluator agent assesses and refines these answers, iterating until a satisfactory response is attained.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 3 credentials: TAVILY_API_KEY, BRAVE_API_KEY, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretTAVILY_API_KEYis set for accessing Tavily MCP Search.
🔐 secretBRAVE_API_KEYis set for using Brave Search MCP.
🔐 secretOPENAI_API_KEYis set for the OpenAI model usage.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/ibagur-pydantic-ai-researcher-xisr04)](https://m8ven.ai/mcp/ibagur-pydantic-ai-researcher-xisr04)
commit: c6c5f01fb69db80e4b542d1364ee56c3f56a5d07
code hash: a478e82ac1718dee6737565bc5b82cac413b7fcf5b6bd1677a70c419d6b1ca01
verified: 6/17/2026, 11:51:55 AM
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