Cody AI MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Cody AI 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({
"cody-ai": {
"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 Cody AI, 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 Cody AI MCP Server
Connect your AI to Cody AI, the business AI assistant that can be trained on your own knowledge base.
LangChain's ecosystem of 500+ components combines seamlessly with Cody AI 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
- Bot Management — List active bots, check their configurations, and view which documents they're trained on.
- Conversations — Start conversations with any bot and ask questions against your knowledge base.
- Document Import — Import web pages and files into specific folders to expand a bot's knowledge.
The Cody AI 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 Cody AI to LangChain via MCP
Follow these steps to integrate the Cody AI 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 Cody AI via MCP
Why Use LangChain with the Cody AI MCP Server
LangChain provides unique advantages when paired with Cody AI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cody AI 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 Cody AI queries for multi-turn workflows
Cody AI + LangChain Use Cases
Practical scenarios where LangChain combined with the Cody AI MCP Server delivers measurable value.
RAG with live data: combine Cody AI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cody AI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cody AI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cody AI tool call, measure latency, and optimize your agent's performance
Cody AI MCP Tools for LangChain (10)
These 10 tools become available when you connect Cody AI to LangChain via MCP:
create_conversation
Create a new conversation session with a specific bot
get_bot_details
Retrieve detailed information about a specific bot
get_document_status
Check the syncing status of a document to see if the AI has finished learning it
import_webpage
Import content from a URL into a specific folder in your knowledge base
list_bots
Retrieve all bots configured in your Cody AI account
list_conversations
Retrieve a list of recent conversations
list_documents
Retrieve a list of documents in your knowledge base
list_folders
Retrieve a list of folders in your knowledge base
list_messages
Retrieve the message history for a specific conversation
send_message
Send a prompt to the AI in a specific conversation
Example Prompts for Cody AI in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Cody AI immediately.
"Show me all active bots in Cody AI."
"Ask bot 'bot-xxxx': 'How do I reset my password?'"
"Import my local 'compliance_guidelines.pdf' into the Legal Bot's knowledge base."
Troubleshooting Cody AI MCP Server with LangChain
Common issues when connecting Cody AI to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCody AI + LangChain FAQ
Common questions about integrating Cody AI 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 Cody AI 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 Cody AI to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.