PitchBox MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PitchBox as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to PitchBox. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in PitchBox?"
)
print(response)
asyncio.run(main())
* 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
About PitchBox MCP Server
Connect your PitchBox account to any AI agent and take full control of your outreach and link-building workflows through natural conversation.
LlamaIndex agents combine PitchBox 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.
What you can do
- Project & Campaign Oversight — List all projects and campaigns to maintain visibility over your outreach efforts.
- Opportunity Tracking — List and retrieve detailed metadata for outreach opportunities (leads) within your campaigns.
- Communication Monitoring — List emails sent and received for any specific opportunity to understand the status of your pitches.
- Contact Management — List all contacts associated with an opportunity to manage your relationships effectively.
- Task Visibility — List active tasks across your account to stay on top of your daily operational needs.
The PitchBox MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect PitchBox to LlamaIndex via MCP
Follow these steps to integrate the PitchBox MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from PitchBox
Why Use LlamaIndex with the PitchBox MCP Server
LlamaIndex provides unique advantages when paired with PitchBox through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine PitchBox tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain PitchBox tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query PitchBox, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what PitchBox tools were called, what data was returned, and how it influenced the final answer
PitchBox + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the PitchBox MCP Server delivers measurable value.
Hybrid search: combine PitchBox real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query PitchBox to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying PitchBox for fresh data
Analytical workflows: chain PitchBox queries with LlamaIndex's data connectors to build multi-source analytical reports
PitchBox MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect PitchBox to LlamaIndex via MCP:
get_pitchbox_campaign
Get details for a specific campaign
get_pitchbox_me
Get current user profile info
get_pitchbox_opportunity
Get details for a specific opportunity
get_pitchbox_project
Get details for a specific project
list_pitchbox_campaigns
List campaigns in a project
list_pitchbox_contacts
List contacts for an opportunity
list_pitchbox_emails
List emails sent for an opportunity
list_pitchbox_opportunities
List outreach opportunities (leads) in a campaign
list_pitchbox_projects
List all PitchBox projects
list_pitchbox_tasks
List active tasks
Example Prompts for PitchBox in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with PitchBox immediately.
"List all active campaigns in my 'Guest Posting' project."
"Show me the status of the link-building opportunity for 'example.com'."
"What outreach tasks are assigned to me for today?"
Troubleshooting PitchBox MCP Server with LlamaIndex
Common issues when connecting PitchBox to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPitchBox + LlamaIndex FAQ
Common questions about integrating PitchBox MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect PitchBox with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PitchBox to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.