Bring Rag
to LangChain
Create your Vinkius account to connect Cody AI to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Cody AI MCP Server?
Connect your AI to Cody AI, the business AI assistant that can be trained on your own knowledge base.
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.
How it works
- Add the Cody AI integration to your AI toolset.
- Provide your API Key (from Settings > API in the Cody AI dashboard).
- Manage bots and conversations via natural language.
Who is this for?
- Support Teams — Query trained bots for instant answers to customer questions.
- Knowledge Managers — Import new content and manage bot training from chat.
- Developers — Integrate Cody AI bots into automated workflows.
Built-in capabilities (10)
Create a new conversation session with a specific bot
Retrieve detailed information about a specific bot
Check the syncing status of a document to see if the AI has finished learning it
Import content from a URL into a specific folder in your knowledge base
Retrieve all bots configured in your Cody AI account
Retrieve a list of recent conversations
Retrieve a list of documents in your knowledge base
Retrieve a list of folders in your knowledge base
Retrieve the message history for a specific conversation
Send a prompt to the AI in a specific conversation
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine Cody AI MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Cody AI queries for multi-turn workflows
Cody AI in LangChain
Why run Cody AI with Vinkius?
The Cody AI connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Cody AI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Cody AI and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Cody AI to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Cody AI for LangChain
Every request between LangChain and Cody AI is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get a Cody AI API key?
In the Cody AI dashboard, go to Settings > API and copy your key. Paste it below.
What is Focus Mode?
Focus Mode restricts a bot's knowledge to specific documents for a given conversation, improving answer relevance.
How long does it take to learn new documents?
Usually seconds to minutes depending on document size. Use 'get_document_status' to check when sync is complete.
How does LangChain connect to MCP servers?
Use 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?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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