The Paper Search MCP server allows users to search and download academic papers from multiple sources, including arXiv and PubMed, and integrates with large language models.
From the registry: Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic…

$ curl -LsSf https://astral.sh/uv/install.sh | shhttps://docs.astral.sh/uv/$ uv add paper-search-mcphttps://pypi.org/project/paper-search-mcp/Please install the `adamamer20-paper-search-mcp-openai` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Python 3.10+ and uv** — paper-search-mcp is a Python package launched via uv. Run: `curl -LsSf https://astral.sh/uv/install.sh | sh` (https://docs.astral.sh/uv/)
- **Install paper-search-mcp** — Add the package to your uv-managed environment. Run: `uv add paper-search-mcp` (https://pypi.org/project/paper-search-mcp/)
Canonical MCP server config (stdio transport):
- command: `uv`
- args: ["run","-m","paper_search_mcp.server"]
- optional environment variables:
- `SEMANTIC_SCHOLAR_API_KEY`: Optional API key for enhanced Semantic Scholar rate limits. (example: `<your-semantic-scholar-api-key>`)
Note: Searches arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint, and Semantic Scholar. Provides the `search` / `fetch` tools expected by OpenAI Deep Research.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.SEMANTIC_SCHOLAR_API_KEYOptional key for enhanced Semantic Scholar features.MCP server for searching Airweave collections with natural language queries.