Bring Feedback Collection
to LlamaIndex
Learn how to connect Porsline to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Porsline MCP Server?
Connect your Porsline account to any AI agent and simplify your survey creation, response tracking, and feedback orchestration through natural conversation.
What you can do
- Survey Management — List all surveys, retrieve detailed metadata, status, and summary for each form
- Response Tracking — Access individual responses and answers to stay on top of your user feedback
- Live Reporting — Query aggregate metrics and summary reports for any survey to understand performance
- Folder Coordination — List organizational folders to manage your survey distribution and project structure
- Direct Insights — Monitor your survey pipeline and engagement metrics directly from your agent
How it works
1. Subscribe to this server
2. Enter your Porsline API Token from your account settings
3. Start managing your surveys from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (12)
Verify connectivity
Create a folder
Create a survey
Duplicate a survey
Export responses
Get survey report
Get response details
Get survey details
List folders
List questions
List responses
List surveys
Why LlamaIndex?
LlamaIndex agents combine Porsline tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 Porsline tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Porsline tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Porsline, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Porsline tools were called, what data was returned, and how it influenced the final answer
Porsline in LlamaIndex
Porsline and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Porsline 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 Porsline in LlamaIndex
The Porsline 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 12 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
Porsline for LlamaIndex
Every tool call from LlamaIndex to the Porsline MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all my active surveys using my AI agent?
Yes! Use the list_surveys tool to retrieve a comprehensive list of all surveys registered in your Porsline account.
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 Porsline 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
