PitchBox MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect PitchBox through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"pitchbox": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using PitchBox, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with PitchBox through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the PitchBox MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from PitchBox via MCP
Why Use LangChain with the PitchBox MCP Server
LangChain provides unique advantages when paired with PitchBox through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine PitchBox MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across PitchBox queries for multi-turn workflows
PitchBox + LangChain Use Cases
Practical scenarios where LangChain combined with the PitchBox MCP Server delivers measurable value.
RAG with live data: combine PitchBox tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query PitchBox, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain PitchBox tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every PitchBox tool call, measure latency, and optimize your agent's performance
PitchBox MCP Tools for LangChain (10)
These 10 tools become available when you connect PitchBox to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting PitchBox to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPitchBox + LangChain FAQ
Common questions about integrating PitchBox MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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.
AI-first code editor with integrated LLM-powered coding assistance.
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
