Bring Omnichannel Support
to LlamaIndex
Learn how to connect Froged to LlamaIndex and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Froged MCP Server?
Connect your Froged account to any AI agent to automate your customer success and support operations through the Model Context Protocol (MCP). Froged is an omnichannel customer service platform designed to improve retention and engagement. This MCP server enables you to track behavioral events, manage customer profiles, and participate in support conversations directly through natural conversation.
Key Features
- Contact Management — List all customer profiles, fetch detailed metadata, and programmatically create or update contacts to maintain a 360-degree view.
- Behavioral Event Tracking — Access recent user events and post custom behavioral data (e.g., 'plan_upgraded') to trigger automated marketing campaigns.
- Support Conversations — List active support chats across all channels and post replies to conversations seamlessly.
- Marketing Campaigns — Retrieve a list of all active marketing and in-app campaigns to monitor engagement.
- Knowledge Base Access — Fetch published help articles from your Knowledge Base to aid in self-service support.
- Real-time Synchronization — Keep your customer success data and support inbox perfectly aligned with your internal tools.
How it works
- Subscribe to this server through the Vinkius Marketplace
- Enter your Froged API Key (found in your Admin Settings)
- Start managing your customer operations from Claude, Cursor, or any MCP client
Who is this for?
- Customer Success Managers — quickly check user profiles and recent activity events without navigating the Froged dashboard.
- Support Agents — get a real-time overview of active conversations and post quick replies via simple AI commands.
- Marketing Teams — automate the logging of custom behavioral events to ensure the right in-app campaigns are triggered.
Built-in capabilities (11)
Get conversation history
Get contact metadata
List tracked events
List Froged contacts
List help articles
List active campaigns
List support chats
Send support reply
Track user behavior
Create/Update contact
Verify API connection
Why LlamaIndex?
LlamaIndex agents combine Froged tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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 Froged tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Froged tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Froged, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Froged tools were called, what data was returned, and how it influenced the final answer
Froged in LlamaIndex
Froged and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Froged 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 | 4,000+ 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 Froged in LlamaIndex
The Froged 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 11 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
Froged for LlamaIndex
Every tool call from LlamaIndex to the Froged 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 an API Key for Froged?
Log in to your Froged Admin Panel, navigate to Settings > Integrations > API, and you can generate or copy your active API Key.
Can I track custom events to trigger campaigns?
Yes! Use the 'track_custom_event' tool. Provide the event name and the user's email to log the behavior and trigger any associated workflows.
Is it possible to reply to support chats through the agent?
Yes, use the 'send_chat_message' tool with the specific Conversation ID to post replies directly to the omnichannel inbox.
How do I sync a new user to Froged?
Use the 'upsert_contact' tool. Provide the user's email address, and if they don't exist, a new profile will be created. If they do, their metadata will update.
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 Froged 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
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