4,000+ servers built on vurb.ts
Vinkius
LangChainFramework
Relevance AI MCP Server

Bring Multi Agent Systems
to LangChain

Learn how to connect Relevance AI to LangChain and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Delete TaskGet Agent DetailsGet KnowledgeGet Task StatusList Agent TasksList AgentsList ExecutionsList Knowledge ItemsList ToolsTrigger AgentTrigger Tool

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Relevance AI

What is the Relevance AI MCP Server?

Connect your Relevance AI account to any AI agent and take full control of your autonomous AI workforce and tool orchestration through natural conversation. Relevance AI provides a world-class platform for building and scaling multi-agent systems, and this integration allows you to trigger autonomous agents, execute custom studios (tools), and monitor long-running task histories directly from your chat interface.

What you can do

  • Agent & Workforce Orchestration — List all available autonomous agents and trigger them to perform specific goals with dynamic inputs programmatically.
  • Studio & Tool Intelligence — Access and monitor your custom AI 'Studios' and execute them with complex parameters directly from the AI interface.
  • Task Lifecycle Management — Retrieve real-time progress for background tasks and monitor final outputs to ensure your autonomous workflows are always synchronized.
  • Knowledge & RAG Control — List and search through your agent's knowledge base items and datasets via natural language.
  • Operational Monitoring — Track system activity and manage regional deployments using simple AI commands.

How it works

  1. Subscribe to this server
  2. Enter your Relevance AI Region Code (e.g., bcbe5a) and API Key
  3. Start managing your autonomous AI teams from Claude, Cursor, or any MCP-compatible client

No more manual dashboard refreshing for task results. Your AI acts as a dedicated orchestrator for your entire agentic infrastructure.

Who is this for?

  • AI Operations Managers — quickly retrieve task summaries and monitor agent deployments without switching tabs.
  • Automation Engineers — automate the triggering of complex multi-agent workflows via natural conversation.
  • Developers — integrate real-time task results and studio execution into custom business architectures.

Built-in capabilities (11)

delete_task

Permanently delete a task record

get_agent_details

Get metadata for an agent

get_knowledge

Get details for a knowledge base

get_task_status

Check status and results of a task

list_agent_tasks

List recent agent tasks

list_agents

List all AI agents

list_executions

List all agent execution history

list_knowledge_items

List knowledge base items

list_tools

List all studios/tools

trigger_agent

Start an agent task

trigger_tool

Execute a specific tool (Studio)

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Relevance AI 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.

  • The largest ecosystem of integrations, chains, and agents. combine Relevance 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 Relevance AI queries for multi-turn workflows

See it in action

Relevance AI in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Relevance AI and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Relevance AI 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Relevance AI in LangChain

The Relevance AI 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 11 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.

Relevance AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Relevance AI for LangChain

Every tool call from LangChain to the Relevance AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can my AI automatically trigger another autonomous agent in Relevance AI?

Yes! Use the trigger_agent tool. Provide the agent_id and the user message/goal, and your agent will initiate the autonomous workflow in your Relevance account instantly.

02

How do I find my Region Code and API Key?

The Region Code is in your dashboard URL (e.g., bcbe5a). For the API Key, log in to Relevance AI, navigate to Settings > API Keys, and generate a new secret key.

03

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.

04

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.

05

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.

06

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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