Enables AI research agents to search and retrieve scholarly content from Wiley, including peer-reviewed articles, journals, and academic research, for literature reviews, evidence discovery, and research workflows.
The fastmcp library is a Python client for MCP servers. Use it to call MewCP tools from your own scripts and services.
This guide connects Scholargateway MCP to Python through MewCP, so Python can use Scholargateway MCP's 1 tool, like semanticSearch, without your Scholargateway MCP credentials ever reaching the app.
Scholargateway MCP signs in through managed OAuth. MewCP stores the token encrypted, refreshes it before it expires and injects it only at call time. Your agent never holds it, so it can never leak it.
More apps
Manage courses, assignments, rosters and student activity within Google Classroom. Create learning workflows, track submissions and organize educational content across classrooms.
AI's impact on real-world sectors, as a structured record for agents: source-linked headlines placed in one of 18 sectors (healthcare, law, retail, government, defense and more), with outlet, country and time, since June 2026
PopHIVE provides AI agents with access to community-level U.S. public health data, enabling them to explore disease trends, compare health indicators across states and counties, analyze vaccination rates and chronic conditions, and investigate social determinants of health using data from multiple sources.
Search Microsoft Learn documentation and training content through MCP, helping AI agents find relevant technical guidance, tutorials, modules, and learning resources.
Other clients
Scholargateway MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Scholargateway MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
SDK clients sign in with an API key. Create one in your dashboard and replace API_KEY in the code below.
SDK clients run without a browser, so they sign in with your API key.
Searches a full-text academic corpus and returns relevant passages with citation metadata. Use for research questions, factual claims, literature-backed explanations, evidence-based summaries, and in any responses where academic support would improve accuracy, credibility, or depth. Submit queries as complete natural language questions, preserving the full intent — do not reduce to keywords. For ambiguous or polysemous terms, always expand to their full context before searching: use "multiple sclerosis" not "MS", "Java programming language" not "Java". Prefer precise scientific or clinical terminology over colloquial terms: use "rhinovirus upper respiratory tract infection" rather than "common cold". Cite all substantive claims inline using author-year format with DOI hyperlinks. If no results are returned, broaden the query or try an alternative framing — do not retry the same query. If this tool fails with a generic/internal connector error and no Scholar Gateway response payload is returned, tell the user Scholar Gateway could not be reached before answering from any other source. If the user previously had Scholar Gateway connected, suggest reconnecting it and retrying, because connector updates or stale connection state can require reconnection. Do not state that reconnection is definitely the cause unless an explicit error says so.
