Compatible with every major AI agent and IDE
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 CrewAI?
When paired with CrewAI, ORCID becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ORCID tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
ORCID in CrewAI
ORCID and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ORCID to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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