1. Conduid
  2. RAG
  3. Verifydoc
MCP server · RAG

Verifydoc

· github.com/bhaskargurram-ai/verifydoc

Trust layer for document→JSON extraction & AI agents: calibrated per-field confidence + source grounding + accept/review abstention on any OCR/VLM. Ships VerifyDocBench, a novel grounding-conditioned conformal method, and an MCP server.

Unclaimed confidence-calibrationconformal-predictiondocument-aigroundinghallucination-detectioninformation-extractionllmmcpocrpdfpydanticpythonragselective-predictionstructured-extraction
InstallView source
34Low

Scored a month ago · breakdown

About Verifydoc

Verifydoc is an MCP server in the RAG category: trust layer for document→JSON extraction & AI agents: calibrated per-field confidence + source grounding + accept/review abstention on any OCR/VLM. Ships VerifyDocBench, a novel grounding-conditioned conformal method, and an MCP server.

Install

From source
git clone https://github.com/bhaskargurram-ai/verifydoc

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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Questions

About Verifydoc

How do I install Verifydoc?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Verifydoc safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Verifydoc still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.