Bring Outbound Sales
to LlamaIndex
Learn how to connect FirstQuadrant to LlamaIndex and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the FirstQuadrant MCP Server?
Connect your FirstQuadrant account to any AI agent and take full control of your B2B sales pipeline and contact enrichment workflows through natural conversation.
What you can do
- Lead Orchestration — List and manage your complete database of leads and contacts, including retrieving detailed metadata and performing search lookups programmatically
- AI Enrichment — Trigger autonomous AI workflows to gather deep context about a lead from external sources and update contact profiles automatically
- Campaign Management — Access available sales sequences and enroll contacts into personalized email campaigns directly through your agent
- Schema Intelligence — Explore and manage your custom property schema to ensure all sales data is perfectly structured for AI analysis
- Activity Monitoring — Monitor the complete log of sales activities, including emails, calls, and AI-driven tasks in real-time
How it works
1. Subscribe to this server
2. Retrieve your API Key and Organization ID from FirstQuadrant (Settings > Developer Settings)
3. Start managing your B2B sales pipeline from Claude, Cursor, or any MCP client
No more manual contact research or complex campaign toggling. Your AI acts as your dedicated sales operations coordinator.
Who is this for?
- Sales Development Reps (SDRs) — instantly identify top leads and trigger enrichment workflows using natural language
- Account Managers — retrieve full interaction histories and verify contact details without leaving your workspace
- Growth Teams — automate lead discovery and scale personalized outreach through simple AI queries
Built-in capabilities (8)
Add contact to a campaign
Create a new lead/contact
Trigger AI enrichment for a contact
Get contact profile details
List sales activities
List sales campaigns/sequences
Supports advanced filtering by email or created date. List FirstQuadrant contacts
List custom properties schema
Why LlamaIndex?
LlamaIndex agents combine FirstQuadrant tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 FirstQuadrant tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain FirstQuadrant tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query FirstQuadrant, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what FirstQuadrant tools were called, what data was returned, and how it influenced the final answer
FirstQuadrant in LlamaIndex
FirstQuadrant and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect FirstQuadrant 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 FirstQuadrant in LlamaIndex
The FirstQuadrant 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 8 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
FirstQuadrant for LlamaIndex
Every tool call from LlamaIndex to the FirstQuadrant 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 find my Organization ID in FirstQuadrant?
Log in to your FirstQuadrant dashboard and navigate to Settings > Developer Settings. Your unique Organization ID will be listed there.
Can the agent update custom properties?
Yes! Use the create_contact or enrich_contact_ai tools to manage standard and custom data points defined in your property schema.
How does AI enrichment work through the agent?
The enrich_contact_ai tool triggers FirstQuadrant's autonomous research engine to scan public sources and update the contact record with high-fidelity insights.
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 FirstQuadrant 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