Activepieces MCP Server for LangChainGive LangChain instant access to 32 tools to Add Piece, Apply Flow Operation, Configure Git Repo, and more

Name: Activepieces
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Activepieces MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 32 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "activepieces": {
            "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 Activepieces, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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

About Activepieces MCP Server

Connect your Activepieces account to any AI agent to orchestrate complex automations and monitor your business workflows through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Activepieces through native MCP adapters. Connect 32 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

Flow Management — List, create, retrieve, and delete automation flows within your projects using list_flows and create_flow.
Execution Monitoring — Track flow runs, check statuses, and inspect detailed step results for debugging with list_flow_runs and get_flow_run.
App Connections — Manage credentials and connections for external services like Slack, Discord, or Google Sheets via list_app_connections.
Flow Operations — Apply structural changes or status updates to existing flows programmatically using apply_flow_operation.
Organization — List and manage folders to keep your automation workspace tidy with list_folders.

The Activepieces MCP Server exposes 32 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 32 Activepieces tools available for LangChain

When LangChain connects to Activepieces through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, no-code, business-process, 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.

add

Add piece on Activepieces

Add a custom piece to the platform

apply

Apply flow operation on Activepieces

g., MOVE_ACTION, CHANGE_STATUS). Apply an operation to a flow

configure

Configure git repo on Activepieces

Configure Git sync for a project

create

Create flow on Activepieces

Create a new flow

create

Create folder on Activepieces

Create a new folder

create

Create project on Activepieces

Create a new project

create

Create project release on Activepieces

Create a project release

delete

Delete app connection on Activepieces

Delete an app connection

delete

Delete flow on Activepieces

Delete a flow by ID

delete

Delete folder on Activepieces

Delete a folder

delete

Delete global connection on Activepieces

Delete a global connection

delete

Delete project member on Activepieces

Remove a member from a project

get

Get flow on Activepieces

Get a specific flow by ID

get

Get flow run on Activepieces

Get detailed execution data for a flow run

get

Get mcp server on Activepieces

Get MCP server configuration for AI assistants

invite

Invite user on Activepieces

Invite a user to the platform or project

list

List app connections on Activepieces

List app connections

list

List flow runs on Activepieces

List flow runs

list

List flows on Activepieces

List automation flows

list

List folders on Activepieces

List folders

list

List global connections on Activepieces

List global connections

list

List project members on Activepieces

List members of a project

list

List projects on Activepieces

List projects

list

List records on Activepieces

List records in a table

list

List tables on Activepieces

List internal data tables

list

List users on Activepieces

List users

rotate

Rotate mcp token on Activepieces

Rotate MCP token for a project

update

Update folder on Activepieces

Update a folder name

update

Update project on Activepieces

Update project settings

update

Update record on Activepieces

Update a specific record

upsert

Upsert app connection on Activepieces

Supports SECRET_TEXT, OAUTH2, BASIC_AUTH, CUSTOM_AUTH, etc. Create or update an app connection

upsert

Upsert global connection on Activepieces

Create or update a global connection

Connect Activepieces to LangChain via MCP

Follow these steps to wire Activepieces into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 32 tools from Activepieces via MCP

Why Use LangChain with the Activepieces MCP Server

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

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

Activepieces + LangChain Use Cases

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

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

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

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

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

Example Prompts for Activepieces in LangChain

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

"List all active automation flows in project 'proj_123'."

"Show me the last 5 runs for flow ID 'flow_1'."

"Create a new flow named 'Customer Support Sync' in project 'proj_123'."

Troubleshooting Activepieces MCP Server with LangChain

Common issues when connecting Activepieces to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Activepieces + LangChain FAQ

Common questions about integrating Activepieces 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.