Bring Serverless
to LangChain
Learn how to connect YepCode to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the YepCode MCP Server?
Connect your YepCode account to any AI agent and simplify how you automate complex data integrations and serverless workflows through natural conversation.
What you can do
- Process Control — List and trigger serverless processes with custom parameters directly from your agent.
- Execution Monitoring — Track the history and status of your workflow runs to ensure reliability.
- Secret Management — List and verify account secrets used in your automations without exposing values.
- Team Coordination — Query available teams and workspaces to understand your development environment.
How it works
1. Subscribe to this server
2. Enter your YepCode API Key
3. Start running and monitoring your serverless automations from Claude, Cursor, or any MCP client
Who is this for?
- DevOps Engineers — quickly trigger maintenance workflows or data syncs via simple AI commands.
- Data Analysts — monitor the status of recurring ETL processes and verify secret availability.
- Software Developers — test and run serverless functions during the development cycle without leaving the IDE.
Built-in capabilities (6)
Get details for a specific process
List recent process executions
List YepCode processes
List account secrets
List available teams
Trigger a process execution
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with YepCode through native MCP adapters. Connect 6 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 YepCode 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 YepCode queries for multi-turn workflows
YepCode in LangChain
YepCode and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect YepCode to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for YepCode in LangChain
The YepCode 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
YepCode for LangChain
Every tool call from LangChain to the YepCode MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I provide input parameters when running a process?
Yes, the run_process tool accepts an optional JSON object for parameters, allowing you to pass dynamic data to your serverless functions.
How do I check if a process execution failed?
Use the list_executions query. It will return a history of recent runs along with their final status (e.g., success, error, pending).
Is it possible to see the code of my processes via AI?
Yes, you can use the get_process_details tool to retrieve the complete metadata and code configuration for any specific process ID.
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