Can I get the definition of an obscure word like 'synecdoche'?

Yes! Use the `get_word_definition` tool with the word 'synecdoche'. It will return the definitions, examples, and the part of speech from Wiktionary.

How do I see the part of speech for a word?

The `get_word_definition` tool automatically identifies if a word is a noun, verb, adjective, etc., and provides definitions for each relevant part of speech.

Does it provide a summary for general topics?

Yes. Use the `get_word_summary` tool to retrieve a concise description of a word that also functions as an encyclopedic topic, suitable for quick overviews.

Wiktionary MCP Server for LangChain 2 tools — connect in under 2 minutes

Name: Wiktionary
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 2 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Wiktionary through the 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({
        "wiktionary": {
            "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 Wiktionary, 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 Wiktionary MCP Server

Equip your AI agent with the power of the world's most comprehensive collaborative dictionary through the Wiktionary MCP server. This integration provides instant access to linguistic data for thousands of words and phrases. Your agent can retrieve precise definitions, identify parts of speech (nouns, verbs, adjectives), see usage examples, and get concise summaries for encyclopedic topics. Whether you are improving your writing, translating complex texts, or exploring etymology, your agent acts as a dedicated philologist and lexicographer through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Wiktionary through native MCP adapters. Connect 2 tools via the 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

Word Definitions — Retrieve detailed linguistic definitions and parts of speech.
Encyclopedic Summaries — Get concise descriptions for words that also function as general topics.
Linguistic Examples — View real-world usage examples for better understanding of context.
Multilingual Support — Access definitions and data across various languages supported by the platform.
Etymology Auditing — Explore the history and origin of words across different linguistic roots.

The Wiktionary MCP Server exposes 2 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 Wiktionary to LangChain via MCP

Follow these steps to integrate the Wiktionary 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 2 tools from Wiktionary via MCP

Why Use LangChain with the Wiktionary MCP Server

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

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

Wiktionary + LangChain Use Cases

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

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

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

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

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

Wiktionary MCP Tools for LangChain (2)

These 2 tools become available when you connect Wiktionary to LangChain via MCP:

get_word_definition

Get the definition of a word

get_word_summary

Get a short summary of a word or topic

Example Prompts for Wiktionary in LangChain

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

"What is the definition of the word 'ephemeral'?"

"Give me a summary of 'Computer Science'."

"Identify the part of speech for 'serendipity'."

Troubleshooting Wiktionary MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wiktionary + LangChain FAQ

Common questions about integrating Wiktionary 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.