ORCID MCP Server for LangChainGive LangChain instant access to 13 tools to Create Item, Csv Search, Delete Item, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect ORCID 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 ORCID MCP Server for LangChain is a standout in the Knowledge Management category — giving your AI agent 13 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({
"orcid": {
"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 ORCID, 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 ORCID MCP Server
Connect to the ORCID (Open Researcher and Contributor ID) registry to identify and connect researchers with their professional activities across disciplines and borders.
LangChain's ecosystem of 500+ components combines seamlessly with ORCID through native MCP adapters. Connect 13 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
- Record Retrieval — Fetch full summary views or specific biographical sections of any researcher using their 16-digit ORCID iD.
- Activity Tracking — Query summaries of all activities including works, funding, and institutional affiliations.
- Registry Search — Search the global ORCID database using Solr syntax to find researchers by name, email, or keywords.
- Item Management — Deep dive into specific works or funding items using unique put-codes to retrieve full metadata.
- Member API Features — For authorized users, create, update, or delete items within sections to keep researcher profiles synchronized.
The ORCID MCP Server exposes 13 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 13 ORCID tools available for LangChain
When LangChain connects to ORCID through Vinkius, your AI agent gets direct access to every tool listed below — spanning researcher-id, academic-publishing, data-attribution, 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.
Create item on ORCID
Requires Member API access and appropriate scopes. Add a new item to a section (Member API only)
Csv search on ORCID
Search the ORCID registry and return CSV format
Delete item on ORCID
Requires Member API access. Delete an item from a section (Member API only)
Expanded search on ORCID
Search the ORCID registry and return expanded metadata
Get activities on ORCID
Get summary of all activities for an ORCID record
Get item on ORCID
Get a specific item from a section using its put-code
Get person on ORCID
Get biographical section of an ORCID record
Get record on ORCID
Get summary view of the full ORCID record
Get section on ORCID
Get summary of a specific section
Get summary on ORCID
Requires Member API access. Get validated and self-asserted summary (Member API only)
Register webhook on ORCID
Requires Premium Member API. Register a webhook callback URL for an ORCID record (Premium only)
Search on ORCID
Supports fields like given-names, family-name, email, orcid, etc. Search the ORCID registry using Solr 3.6 syntax
Update item on ORCID
Requires Member API access. Update an existing item in a section (Member API only)
Connect ORCID to LangChain via MCP
Follow these steps to wire ORCID 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 ORCID MCP Server
LangChain provides unique advantages when paired with ORCID through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ORCID 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 ORCID queries for multi-turn workflows
ORCID + LangChain Use Cases
Practical scenarios where LangChain combined with the ORCID MCP Server delivers measurable value.
RAG with live data: combine ORCID tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ORCID, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ORCID tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ORCID tool call, measure latency, and optimize your agent's performance
Example Prompts for ORCID in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ORCID immediately.
"Search the ORCID registry for researchers with the family name 'Einstein'."
"Get the biographical details for ORCID iD 0000-0002-1825-0097."
"List all the works associated with ORCID 0000-0002-1825-0097."
Troubleshooting ORCID MCP Server with LangChain
Common issues when connecting ORCID to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersORCID + LangChain FAQ
Common questions about integrating ORCID 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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