How do I get an Eden AI API Key?

Log in to your Eden AI account, navigate to **Account Settings** or the **API** section, and you can generate or retrieve your unique API Key from there.

Does the integration support all AI providers?

Yes, Eden AI provides a unified interface for many providers. The agent can retrieve availability and pricing for any provider currently supported by the Eden AI platform.

Can the agent trigger workflow executions?

This integration currently focuses on listing and auditing workflows, providers, and usage. Triggering new workflow executions should be managed via specific Eden AI API calls or the platform dashboard.

Eden AI MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Eden AI
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Eden AI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "eden-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 Eden AI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Eden AI MCP Server

Integrate Eden AI, the unified AI API platform, directly into your AI workflow. Manage your automation workflows and pipelines, track available AI providers (OpenAI, Google, AWS, etc.) across various features, monitor real-time API usage and costs, and oversee your LLM models using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Eden 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

Workflow Oversight — List and retrieve detailed information and status for all your configured AI automation workflows.
Provider Intelligence — Access the provider registry to monitor available AI capabilities, pricing, and service levels for specific features.
Usage Monitoring — Track real-time API consumption statistics, credit balance, and organizational spending across all providers.
Model Management — List all specific large language models (LLMs) and AI features supported by the Eden AI platform.

The Eden 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 Eden AI to LangChain via MCP

Follow these steps to integrate the Eden 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 Eden AI via MCP

Why Use LangChain with the Eden AI MCP Server

LangChain provides unique advantages when paired with Eden AI through the Model Context Protocol.

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

Eden AI + LangChain Use Cases

Practical scenarios where LangChain combined with the Eden AI MCP Server delivers measurable value.

RAG with live data: combine Eden AI tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Eden AI, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Eden AI tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Eden AI tool call, measure latency, and optimize your agent's performance

Eden AI MCP Tools for LangChain (10)

These 10 tools become available when you connect Eden AI to LangChain via MCP:

get_ai_feature_pricing

Identify the pricing for a specific AI feature across different providers

get_api_usage_statistics

Retrieve technical statistics on your API usage and costs

get_eden_ai_metadata

Retrieve metadata and credit balance for your Eden AI account

get_workflow_configuration

Get detailed settings and steps for a specific AI workflow

list_ai_providers

List all AI providers (OpenAI, Google, AWS, etc.) available for a specific feature

list_ai_workflows

List all AI automation workflows configured in your Eden AI account

list_all_llm_models

List all specific large language models available through the unified API

list_available_ai_features

List all AI features and subfeatures supported by the Eden AI platform

list_latest_ai_automations

Identify the most recently updated AI workflows

quick_ai_provider_audit

Retrieve a high-level summary of available providers for text analysis

Example Prompts for Eden AI in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Eden AI immediately.

"List all active AI workflows."

"Show me the pricing for 'sentiment_analysis' across providers."

"What is my current Eden AI credit balance?"

Troubleshooting Eden AI MCP Server with LangChain

Common issues when connecting Eden AI to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Eden AI + LangChain FAQ

Common questions about integrating Eden AI MCP Server with LangChain.

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.