Integrations·AI & ML
Semanticscholar + OpenClaw
Give your autonomous agents a live connection to Semanticscholar: managed, secure, and ready in minutes.
Semantic Scholar is an AI-powered academic search engine for scientific literature. On Molted, your OpenClaw agents connect to Semanticscholar through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Semanticscholar, autonomously and within the guardrails you set.
Available actions
14 ready-to-use Semanticscholar actions.
Your OpenClaw agents can call any of these Semanticscholar actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
SEMANTICSCHOLAR_DETAILS_ABOUT_AN_AUTHOR
Details about an author
Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/author/1741101</code></li> <ul> <li>returns the author's authorid and name.</li> </ul>…
SEMANTICSCHOLAR_DETAILS_ABOUT_AN_AUTHOR_S_PAPERS
Details about an author s papers
Retrieves a list of papers authored by a specific researcher identified by their unique semantic scholar author id. this endpoint is particularly useful for…
SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER
Details about a paper
Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b</code></li> <ul> <li>returns a paper with its…
SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER_S_AUTHORS
Details about a paper s authors
Retrieves the list of authors for a specific paper identified by its unique paper id in the semantic scholar database. this endpoint is useful when you need…
SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER_S_CITATIONS
Details about a paper s citations
Retrieves a list of citations for a specific academic paper using its unique semantic scholar paper id. this endpoint is useful for researchers and developers…
SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER_S_REFERENCES
Details about a paper s references
Retrieves the list of references cited by a specific paper in the semantic scholar database. this endpoint allows users to explore the scholarly context of a…
SEMANTICSCHOLAR_GET_DETAILS_FOR_MULTIPLE_AUTHORS_AT_ONCE
Get details for multiple authors at once
Retrieves detailed information for multiple authors from semantic scholar in a single api call. this endpoint allows users to efficiently fetch data for a…
SEMANTICSCHOLAR_GET_DETAILS_FOR_MULTIPLE_PAPERS_AT_ONCE
Get details for multiple papers at once
The semanticscholar paper batch endpoint allows users to retrieve data for multiple academic papers in a single api call. this endpoint is particularly useful…
SEMANTICSCHOLAR_PAPER_BULK_SEARCH
Paper bulk search
Behaves similarly to <code>/paper/search</code>, but is intended for bulk retrieval of basic paper data without search relevance: <ul> <li>text query is…
SEMANTICSCHOLAR_PAPER_RELEVANCE_SEARCH
Paper relevance search
The searchpapers endpoint allows users to search for academic papers within the semantic scholar database. it provides a powerful way to discover relevant…
+ 4 more Semanticscholar actions, all callable by your agents.
How the connection works
Connect once. The agent acts.
Semanticscholar connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
The agent requests access
Your OpenClaw agent asks for Semanticscholar when a task needs it.
02
You approve the connection
Authorize Semanticscholar once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
The agent acts
It reads and writes to Semanticscholar autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Semanticscholar on Molted, answered.
Q.01
Can OpenClaw agents use Semanticscholar on Molted?
Yes. Semanticscholar is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Semanticscholar straight away, with no integration code to write or maintain.
Q.02
How do I connect Semanticscholar to my agent?
Semanticscholar connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
What can an agent actually do with Semanticscholar?
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. Semanticscholar lets your agent add specialised intelligence the base model does not cover.
Q.04
Is my Semanticscholar data and credentials secure?
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Semanticscholar access at any time.
Q.05
Do I have to run any infrastructure to use Semanticscholar?
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Semanticscholar is a configuration step, not an engineering project.
Q.06
Can I limit what an agent is allowed to do in Semanticscholar?
Yes. Access to Semanticscholar is scoped to exactly what you approve and is revocable at any time. Agents act within the guardrails you set, and every action stays auditable.
Ship agents that use Semanticscholar, not infrastructure.
Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.