Fastn MCP Server for LangChainGive LangChain instant access to 16 tools to Archive Workflow, Cancel Execution, Create Workflow, and more

Name: Fastn
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Fastn 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 Fastn MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 16 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

Claude

ChatGPT

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Gemini

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VS Code

JetBrains

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+ other MCP clients

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({
        "fastn": {
            "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 Fastn, 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 Fastn MCP Server

Connect your Fastn account to any AI agent to orchestrate complex backend workflows and real-time API flows through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Fastn through native MCP adapters. Connect 16 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 Execution — Trigger Fastn flows instantly with custom JSON payloads and receive real-time responses via the API sync layer.
Workflow Management — List, create, update, and publish flow definitions across different tenants to maintain your business logic.
Execution Monitoring — Track execution history and drill down into step-by-step traces to debug or audit automated processes.
Credential Handling — Securely store, retrieve, and rotate credentials for your various connectors and third-party integrations.
Platform Insights — Monitor your platform usage, including daily quotas, summary metrics, and active space configurations.

The Fastn MCP Server exposes 16 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 16 Fastn tools available for LangChain

When LangChain connects to Fastn through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, workflow-automation, api-integration, 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.

Archive workflow on Fastn

Deactivate / archive a flow

cancel

Cancel execution on Fastn

Cancel a running execution

create

Create workflow on Fastn

Create a new flow definition

execute

Execute flow on Fastn

The input object must match the Request Schema defined in the flow trigger. Execute a Fastn flow instantly (API Real-Time Sync)

get

Get credentials on Fastn

Retrieve stored credentials

get

Get execution on Fastn

Get full step-by-step execution trace

get

Get quota daily on Fastn

Daily usage breakdown

get

Get quota summary on Fastn

Usage summary

get

Get quota usage on Fastn

Current usage against plan limits

get

Get workflow on Fastn

Get a flow full specification

list

List executions on Fastn

List execution history for a tenant

list

List workflows on Fastn

List all flow definitions for a tenant

publish

Publish workflow on Fastn

Deploy / publish a flow

rotate

Rotate credentials on Fastn

Rotate credentials

store

Store credentials on Fastn

Store connector credentials

update

Update workflow on Fastn

Update a flow definition

Connect Fastn to LangChain via MCP

Follow these steps to wire Fastn 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 16 tools from Fastn via MCP

Why Use LangChain with the Fastn MCP Server

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

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

Fastn + LangChain Use Cases

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

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

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

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

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

Example Prompts for Fastn in LangChain

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

"List all flow definitions for tenant 'main-prod'."

"Execute the 'data-sync' flow with input { "source": "crm" }."

"Show me the step-by-step execution trace for ID 'exec_789xyz' in tenant 'main-prod'."

Troubleshooting Fastn MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fastn + LangChain FAQ

Common questions about integrating Fastn 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.