How do I find my Missive Access Token?

Go to Missive Settings > API and generate a new Bearer token.

Do I need a specific Missive plan to use the API?

Yes, API access typically requires a Productive or Business plan.

Can I perform actions like closing a conversation?

Yes, use the 'create_post' tool and set the 'close' parameter to true.

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

Name: Missive
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 Missive 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({
        "missive": {
            "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 Missive, 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 Missive MCP Server

Connect Missive to your AI agent and manage your team's communication efficiently. Access conversations, messages, and contacts through natural conversation to stay organized and responsive.

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

Conversation Management — List and view conversations from any mailbox (inbox, assigned, closed).
Collaboration — Post internal comments or trigger actions like closing and assigning conversations.
Message Access — Read all messages and comments within a specific conversation thread.
Contact Organization — Search for and create contacts in your shared or private contact books.
Draft & Send — Create email drafts and deliver them directly from your AI agent.

The Missive 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 Missive to LangChain via MCP

Follow these steps to integrate the Missive 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 Missive via MCP

Why Use LangChain with the Missive MCP Server

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

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

Missive + LangChain Use Cases

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

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

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

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

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

Missive MCP Tools for LangChain (10)

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

create_contact

Create a new contact

create_draft

Create an email draft

create_post

Can also trigger actions like closing, assigning, or labeling. Create a post (comment or action) in a conversation

get_conversation

Get details for a specific conversation

get_me

Get current Missive user details

list_contacts

List Missive contacts

list_conversations

A mailbox filter is required (e.g., "inbox", "all", "assigned", "closed"). List conversations from a specific mailbox

list_labels

List Missive labels

list_messages

List messages in a conversation

send_draft

Send a prepared draft

Example Prompts for Missive in LangChain

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

"List my recent conversations in the inbox."

"Add a comment 'Working on this now' to conversation id 123."

"Find contact info for 'Jane Smith'."

Troubleshooting Missive MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Missive + LangChain FAQ

Common questions about integrating Missive 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.