Bring Researcher Id
to LangChain
Learn how to connect ORCID to LangChain and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your ORCID Access Token (Public or Member API)
- Start querying academic records from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Academic Researchers — quickly verify profile data and manage your own publication list without manual entry
- University Administrators — automate the retrieval of faculty activities and affiliations for reporting
- Data Scientists — search and analyze researcher metadata for bibliometric studies and mapping scientific networks
Built-in capabilities (13)
Requires Member API access and appropriate scopes. Add a new item to a section (Member API only)
Search the ORCID registry and return CSV format
Requires Member API access. Delete an item from a section (Member API only)
Search the ORCID registry and return expanded metadata
Get summary of all activities for an ORCID record
Get a specific item from a section using its put-code
Get biographical section of an ORCID record
Get summary view of the full ORCID record
Get summary of a specific section
Requires Member API access. Get validated and self-asserted summary (Member API only)
Requires Premium Member API. Register a webhook callback URL for an ORCID record (Premium only)
Supports fields like given-names, family-name, email, orcid, etc. Search the ORCID registry using Solr 3.6 syntax
Requires Member API access. Update an existing item in a section (Member API only)
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine ORCID MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across ORCID queries for multi-turn workflows
ORCID in LangChain
ORCID and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ORCID to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ORCID in LangChain
The ORCID 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ORCID for LangChain
Every tool call from LangChain to the ORCID MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for researchers by their name or email address?
Yes! Use the search tool with Solr syntax (e.g., family-name:Smith or email:user@example.com) to find matching records in the ORCID registry.
How do I retrieve the full details of a specific publication?
First, use get_section with the section 'works' to find the item's put_code. Then, use the get_item tool with that code to fetch the complete metadata for that specific work.
Do I need a Member API account to add or update records?
Yes. While reading public data works with the Public API, tools like create_item, update_item, and delete_item require Member API access and the useMemberApi configuration set to true.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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