Bring Product Reviews
to LlamaIndex
Learn how to connect Judge.me to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Judge.me MCP Server?
Empower your AI agents with Judge.me's comprehensive product review platform. This MCP server allows you to list and retrieve product reviews, track customer questions and answers, manage coupons, and view shop settings directly through the Judge.me API. Ideal for automating social proof management and customer feedback analysis.
Built-in capabilities (10)
Essential for providing a summary of a product's performance. Retrieves details for a specific product
Use this before preparing an official answer. Retrieves details for a specific question
Returns deep-dive information including metadata and moderation status. Use this when analyzing a particular customer case or response. Retrieves details for a specific review
me app for the shop, including review widgets and email settings. Useful for system configuration auditing. Retrieves shop settings for Judge.me
Use this to audit responses and check if queries have been resolved. Lists all answers to questions
me (often used as rewards for reviews). Useful for auditing incentive programs. Lists all active discount coupons
Essential for analyzing user-generated content (UGC). Lists all media (images/videos) attached to reviews
me. Includes product names, IDs, and aggregate review counts. Use this to identify products for review analysis. Lists all products in the shop
me Q&A feature. Returns question text, status, and IDs. Use this to identify customer inquiries that need answers. Lists all customer questions
me platform. Returns reviewer names, ratings, review titles, and bodies. Use this to monitor customer sentiment and analyze product feedback. Lists all product reviews
Why LlamaIndex?
LlamaIndex agents combine Judge.me tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Judge.me tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Judge.me tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Judge.me, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Judge.me tools were called, what data was returned, and how it influenced the final answer
Judge.me in LlamaIndex
Judge.me and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Judge.me to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Judge.me in LlamaIndex
The Judge.me MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Judge.me for LlamaIndex
Every tool call from LlamaIndex to the Judge.me MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get Judge.me API credentials?
Log in to your Judge.me account, navigate to Settings > Integrations > Developers, and find your Private API Token. You also need your shop's primary domain.
Does it support customer questions?
Yes, you can list and retrieve customer questions and answers using the corresponding tools in this MCP.
Can I see review media?
Yes, the list_medias tool allows you to retrieve images and videos that customers have attached to their reviews.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Judge.me tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp