Figshare MCP Server for LangChainGive LangChain instant access to 20 tools to Complete File Upload, Create Collection, Create Private Article, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Figshare 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 Figshare MCP Server for LangChain is a standout in the Data Management category — giving your AI agent 20 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({
"figshare": {
"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 Figshare, 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 Figshare MCP Server
Connect your Figshare account to any AI agent to streamline your research data management and publication workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Figshare through native MCP adapters. Connect 20 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
- Article Management — List public articles, fetch specific article details, and create, update, or delete private articles in your account.
- File Handling — List files associated with articles, initiate multi-part S3 uploads, and track file details for your research datasets.
- Collections & Projects — Create and list public collections and projects to organize your scholarly output effectively.
- Metadata Control — Update titles, descriptions, and other metadata for your articles to ensure they are discoverable and well-documented.
The Figshare MCP Server exposes 20 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 20 Figshare tools available for LangChain
When LangChain connects to Figshare through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-science, research-data, academic-publishing, 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.
Complete file upload on Figshare
Complete a file upload
Create collection on Figshare
Create a new collection
Create private article on Figshare
Create a new private article
Create project on Figshare
Create a new project
Delete article on Figshare
Delete an article
Get article on Figshare
Get details of a specific article
Get article downloads on Figshare
Get total downloads for an article
Get article views on Figshare
Get total views for an article
Get custom fields on Figshare
Get custom metadata fields for the institution
Get file details on Figshare
Get file details
Get hrfeed upload on Figshare
Get HR feed upload details
Initiate file upload on Figshare
Initiate a file upload for an article
List article files on Figshare
List files for an article
List public articles on Figshare
List public articles
List public collections on Figshare
List public collections
List public projects on Figshare
List public projects
Search articles on Figshare
Advanced search for articles
Search collections on Figshare
Advanced search for collections
Search projects on Figshare
Advanced search for projects
Update article on Figshare
Update an existing article
Connect Figshare to LangChain via MCP
Follow these steps to wire Figshare 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 Figshare MCP Server
LangChain provides unique advantages when paired with Figshare through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Figshare 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 Figshare queries for multi-turn workflows
Figshare + LangChain Use Cases
Practical scenarios where LangChain combined with the Figshare MCP Server delivers measurable value.
RAG with live data: combine Figshare tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Figshare, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Figshare tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Figshare tool call, measure latency, and optimize your agent's performance
Example Prompts for Figshare in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Figshare immediately.
"List the most recent public articles on Figshare."
"Create a private article titled 'Lab Results Q4' with the description 'Raw data from the December experiments'."
"Show me all files attached to article 1234567."
Troubleshooting Figshare MCP Server with LangChain
Common issues when connecting Figshare to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFigshare + LangChain FAQ
Common questions about integrating Figshare 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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