Pitchly MCP Server for LangChainGive LangChain instant access to 11 tools to Create Record, Delete Record, Get Record Details, and more
LangChain is the leading Python framework for composable LLM applications. Connect Pitchly 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 App Connector for LangChain
The Pitchly app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"pitchly": {
"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 Pitchly, 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 Pitchly MCP Server
Connect your Pitchly account to any AI agent and take full control of your organizational experience and content orchestration through natural conversation. Pitchly is the data management platform of choice for professional services firms, and this integration allows you to retrieve workspace metadata, manage custom data tables, and update critical records (deals, bios, tombstones) directly from your chat interface.
LangChain's ecosystem of 500+ components combines seamlessly with Pitchly through native MCP adapters. Connect 11 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
- Workspace & Table Orchestration — List all managed workspaces and retrieve detailed table structures programmatically to ensure your data foundation is always synchronized.
- Record Lifecycle Management — Query, create, and update records across custom tables with detailed profile metadata directly from the AI interface to maintain high-fidelity business intelligence.
- Content Discovery Intelligence — Search through complex data sets for specific deals, professional bios, or tombstone data via natural language to drive better research efficiency.
- Data Ingestion Control — Automate the creation of new records and manage organizational metadata using simple AI commands.
- Operational Monitoring — Track system responses and manage workspace health to ensure your experience management is always optimized.
The Pitchly MCP Server exposes 11 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.
All 11 Pitchly tools available for LangChain
When LangChain connects to Pitchly through Vinkius, your AI agent gets direct access to every tool listed below — spanning experience-data, professional-services, content-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new record to a table
Delete a record from a table
Get details of a specific record
Get details of a specific table
Get details of a specific workspace
List all fields in a table
List records in a Pitchly table
List tables in a workspace
List all Pitchly workspaces
Search records within a table
Update an existing record
Connect Pitchly to LangChain via MCP
Follow these steps to wire Pitchly into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Pitchly MCP Server
LangChain provides unique advantages when paired with Pitchly through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Pitchly 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 Pitchly queries for multi-turn workflows
Pitchly + LangChain Use Cases
Practical scenarios where LangChain combined with the Pitchly MCP Server delivers measurable value.
RAG with live data: combine Pitchly tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Pitchly, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Pitchly tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Pitchly tool call, measure latency, and optimize your agent's performance
Example Prompts for Pitchly in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Pitchly immediately.
"List all tables in my 'Corporate' workspace in Pitchly."
"Show me all records in the Client Engagements table that were updated this week."
"Create a new record in the Deal Pipeline table for the ScaleUp Technologies opportunity."
Troubleshooting Pitchly MCP Server with LangChain
Common issues when connecting Pitchly to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPitchly + LangChain FAQ
Common questions about integrating Pitchly 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.