Apideck MCP Server for LangChainGive LangChain instant access to 6 tools to Create Vault Session, Delete Vault Connection, Execute Proxy, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Apideck 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 for LangChain
The Apideck MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"apideck": {
"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 Apideck, 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 Apideck MCP Server
Connect Apideck to your AI agent to streamline how you interact with multiple SaaS platforms. By using Apideck's Unified APIs, your agent can communicate with various CRM providers and manage user integrations without writing custom code for every service.
LangChain's ecosystem of 500+ components combines seamlessly with Apideck 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.
What you can do
- Unified CRM Access — List and filter contacts across different CRM providers like Salesforce, HubSpot, or Pipedrive using the
list_crm_contactstool. - Vault Management — Create sessions for users to link their own accounts (
create_vault_session), list existing connections, and retrieve or delete specific service links. - API Proxying — Execute direct requests to downstream service endpoints using
execute_proxywhen you need specific functionality not covered by the unified schema. - Connection Auditing — Inspect the status and details of active integrations using
get_vault_connectionto ensure data flow is healthy.
The Apideck MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Apideck tools available for LangChain
When LangChain connects to Apideck through Vinkius, your AI agent gets direct access to every tool listed below — spanning unified-api, crm-integration, vault, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create vault session on Apideck
Create a Vault session
Delete vault connection on Apideck
Delete a Vault connection
Execute proxy on Apideck
Execute a Proxy API request
Get vault connection on Apideck
Get a specific Vault connection
List crm contacts on Apideck
g., salesforce, hubspot) using the Unified CRM API. List CRM contacts from a unified integration
List vault connections on Apideck
List Vault connections
Connect Apideck to LangChain via MCP
Follow these steps to wire Apideck into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Apideck MCP Server
LangChain provides unique advantages when paired with Apideck through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Apideck 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 Apideck queries for multi-turn workflows
Apideck + LangChain Use Cases
Practical scenarios where LangChain combined with the Apideck MCP Server delivers measurable value.
RAG with live data: combine Apideck tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Apideck, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Apideck tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Apideck tool call, measure latency, and optimize your agent's performance
Example Prompts for Apideck in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Apideck immediately.
"List all CRM contacts from the hubspot integration."
"Show me all active Vault connections for the current consumer."
"Create a Vault session with a redirect URI to https://example.com/dashboard."
Troubleshooting Apideck MCP Server with LangChain
Common issues when connecting Apideck to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersApideck + LangChain FAQ
Common questions about integrating Apideck 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?
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