Patsnap Patent & Literature Search
The Patsnap Patent & Literature Search server gives AI agents read-only access to Patsnap's databases of 200M+ patents and 216M+ scientific papers, enabling comprehensive R&D research.
Search (
patsnap_search): Search patents or scientific literature using natural language/semantic queries, BM25 keywords, and structured filters (assignee, inventor, IPC, legal status, jurisdiction, date range, citation count). Supports pagination and sorting. Combine separate patent and paper searches for dual-corpus analysis.Fetch (
patsnap_fetch): Retrieve full records in Markdown using result URLs or publication numbers. Access bibliographic data, claims, descriptions, drawings (signed URLs), legal status, patent family, and citations. Supports gzip compression and up to 100 records per call.
Enables searching and retrieving scientific preprints from arXiv via Patsnap's literature database.
Enables searching and retrieving academic publications from HAL (Hyper Article en Ligne) via Patsnap's literature database.
Enables searching and retrieving biomedical literature from PubMed via Patsnap's literature database.
Enables searching and retrieving research papers from SSRN via Patsnap's literature database.
Enables searching and retrieving research outputs from Zenodo via Patsnap's literature database.
Patent & Literature Search MCP
Search global patents and scientific literature in natural language, directly inside Claude, Cursor, or any MCP-compatible AI tool. The MCP supports semantic, keyword, BM25, and structured search, then retrieves selected records as AI-readable Markdown.
Start free: Register on Patsnap Open Platform to receive 10,000 free credits. No credit card is required.
About Patsnap
Patsnap is a global innovation intelligence platform covering patents, scientific literature, chemistry, life sciences, and other R&D data.
To explore Patsnap data interactively, try Eureka, Patsnap's AI-native R&D assistant. To access data programmatically, use the MCP servers or REST API via Patsnap Open Platform.
Related MCP server: patent-mcp
What It Does
Patent & Literature Search MCP gives your AI agent direct access to Patsnap's patent and academic-literature databases. A single natural-language research request can cover both corpora and combine the results for AI reasoning.
Patent search — keyword, assignee, inventor, IPC class, legal status, date range, and citation filters
Literature search — semantic and keyword search across peer-reviewed scientific papers
Cross-domain research — orchestrate patent and paper searches using the same tool and combine the structured results for AI reasoning
Natural language input — describe your problem or topic in plain English or Chinese; the MCP constructs the search strategy
Precision filtering — filter by assignee, inventor, legal status, jurisdiction, date range, and citation count simultaneously
Data Coverage
This MCP is backed by Patsnap's global patent and scientific-literature coverage.
Patent coverage
Data-source group | Representative sources | Coverage |
International and regional authorities | WIPO/PCT, EPO, ARIPO, EAPO, OAPI, GCC | Applications, grants, and regional records |
Major national authorities | USPTO, CNIPA, JPO, KIPO, DPMA, INPI, UKIPO, CIPO, IP Australia | Applications, grants, designs, and utility models where applicable |
Additional jurisdictions | Patent authorities across Europe, Asia-Pacific, the Americas, the Middle East, and Africa | Bibliographic records and authority-supported document types |
Patent data coverage includes:
Data type | What it covers |
Bibliography | Publication and application identifiers, titles, dates, applicants, assignees, inventors, and classifications |
Full text | Abstracts, claims, descriptions, and other document text |
Original patent-document coverage for supported authorities | |
Legal events | Status changes and patent lifecycle events |
File wrapper | Available prosecution and examination records |
License | Available patent licensing records |
Litigation | Available patent litigation records |
Coverage is refreshed frequently, with patent data updated daily.
Scientific-literature coverage
Source type | Representative data sources and publications |
Biomedical and clinical literature | PubMed, The Lancet, BMJ, JAMA, Blood, Cancer Research, Journal of Clinical Oncology, Gastroenterology |
Multidisciplinary journals | Nature, Science, Scientific Reports, PLOS ONE, Proceedings of the National Academy of Sciences |
Chemistry and materials science | Journal of the American Chemical Society, Angewandte Chemie, Journal of Chemical Physics, Chemical & Engineering News Archive |
Physics and engineering | Physical Review Letters, Physical Review B, Journal of Applied Physics, AIP Conference Proceedings, SPIE Proceedings |
Preprints and repositories | arXiv, HAL, SSRN, Zenodo, DOAJ |
Research datasets and specialist sources | ENCODE Datasets, Worldwide Protein Data Bank, OSTI, RePEc, GBIF, PsycEXTRA |
Literature records include bibliographic metadata, abstracts, citation metadata, and PDF coverage. The collection spans journal articles, preprints, conference proceedings, repositories, datasets, and other non-patent literature.
See Patsnap Global Data Coverage for the current authority-level and publication-level coverage matrix.
What You Can Search
patsnap_search searches either patents or scientific literature in one
call. Its current input supports:
Input | What it does |
| Searches a natural-language technical description or concept |
| Combines |
| Runs precise keyword and BM25 matching |
| Selects the |
| Applies provider-supported structured filters |
| Sorts by relevance or a provider-supported field |
| Paginates results; up to 100 results per call |
Patent filters may include assignees, inventors, IPC classifications, jurisdictions, filing or publication dates, legal status, and citation conditions. Exact filter names and operators depend on the current hosted tool schema.
What You Can Retrieve
patsnap_fetch retrieves up to 100 selected result URLs or patent
publication numbers as Markdown.
Patent modules
Module | Content that may be returned |
| Bibliographic data, title, abstract, claims, description, and other available record content |
| Patent citations and non-patent literature references |
| Available patent legal data and events |
| Available patent-family information |
| Signed patent-drawing URLs when available |
Citation data
The citation module can retrieve citation data for selected patents. Where
available, this may include:
patents cited by the selected patent;
patents citing the selected patent;
applicant, examiner, or search-authority citations;
citation categories such as X, Y, and A;
cited non-patent literature; and
DOI and other bibliographic metadata for cited literature.
Citation direction and type should be determined from the returned record labels. Availability and completeness vary by jurisdiction and patent.
Literature records
Literature records support the basic module and may include title,
abstract metadata, authors, affiliations, publication, publication date,
DOI, and other available bibliographic identifiers.
Quick Start
1. Get your API key
Register at Patsnap Open Platform and generate a free API key from the Patent & Literature Search MCP page. New accounts include 10,000 free credits. No credit card required.
2. Add to Claude Code
claude mcp add --transport http search-tool \
"https://connect.patsnap.com/2b0355/logic-mcp?apikey=YOUR_API_KEY"Restart Claude Code and type /mcp to confirm it loaded.
3. Add to Cursor or Windsurf
Add the following to your MCP configuration file:
{
"mcpServers": {
"patsnap_patent_literature": {
"url": "https://connect.patsnap.com/2b0355/logic-mcp?apikey=YOUR_API_KEY",
"type": "streamableHttp"
}
}
}Replace YOUR_API_KEY with your key from Patsnap Open Platform.
Run the Containerized MCP Bridge
The repository includes a local stdio bridge for environments that
install or deploy MCP servers from source. It exposes static tool
definitions without credentials and forwards tool calls to the hosted
Patsnap Streamable HTTP service when PATSNAP_API_KEY is configured.
Docker
docker build -t patsnap-patent-literature-search .
docker run --rm -i \
-e PATSNAP_API_KEY=YOUR_API_KEY \
patsnap-patent-literature-searchMCP client configuration:
{
"mcpServers": {
"patsnap_patent_literature": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"PATSNAP_API_KEY",
"ghcr.io/patsnap/patent-literature-search-mcp:latest"
],
"env": {
"PATSNAP_API_KEY": "YOUR_API_KEY"
}
}
}
}The GitHub Actions workflow publishes version tags such as v1.1.0
to GHCR as both 1.1.0 and latest.
An optional live upstream check can be run manually from GitHub
Actions. Add PATSNAP_TEST_API_KEY as a repository Actions secret,
start the workflow with Run workflow, and enable
run_upstream. Pull requests never receive or use this secret.
Tools
patsnap_search— Search either patents or scientific literature in a request. Supports natural-language and semantic queries, precise keyword and BM25-based text search, and filters such as assignee, inventor, IPC classification, legal status, jurisdiction, date range, and citations. A single research request may invoke patent and literature searches and combine their results.patsnap_fetch— Retrieve a patent or literature record as Markdown using one or more result URLs. Patent records can also be fetched by publication number and may include bibliographic data, claims, descriptions, drawings, citations, legal data, and patent-family data. Literature records include core bibliographic and abstract metadata.
Development
Requires Node.js 20 or newer.
npm ci
npm test
npm startThe test suite verifies:
static tool discovery without an API key;
argument validation and upstream forwarding;
structured MCP error handling;
a real stdio
initializeandtools/listhandshake.
To verify the container locally:
docker build -t patent-literature-search-mcp:test .
npm run test:dockerThe server writes MCP JSON-RPC only to stdout. Application errors are returned as MCP tool results, and credentials are never included in logs.
Glama Release
After claiming the server on Glama:
Open the server's Dockerfile Admin page.
Select the repository-root
Dockerfile.Add
PATSNAP_API_KEYas a secret deployment environment variable.Use
node src/index.jsas the command if Glama does not infer the DockerfileCMD.Run Deploy, verify the MCP build test, and create a release.
Example Prompts
What is Tesla actually working on in battery technology — show me
their recent patent filings, group by technology area, and identify
who is leading each.Which GLP-1 receptor agonist patents are expiring before 2028,
and what does recent literature say about next-generation mechanisms?My EV battery loses 40% range in cold weather. What technical
solutions exist in patents and academic papers?Resources
License
Apache-2.0
Powered by Patsnap. Innovate with Confidence.
Maintenance
Tools
Related MCP Servers
- Flicense-qualityDmaintenanceEnables comprehensive patent information queries and analytics including fuzzy company search, patent search by various criteria (name, application number, applicant), and statistical analysis of patent portfolios including status distribution, application trends, and patent type classification.27
- Alicense-qualityDmaintenanceAI-powered patent search and analysis across 220M+ global patents. Semantic search, prior art discovery, novelty/patentability reports, and patent content retrieval.Apache 2.0

Patsnap-mcpofficial
Alicense-qualityAmaintenanceSearch 1B+ biological sequences, antibodies, and multi-omics data via specialized bio-intelligence tools.113Apache 2.0- Alicense-qualityAmaintenanceProvides access to USPTO patent and patent application data through multiple APIs, enabling search, retrieval, and analysis of patents, PTAB proceedings, and litigation data via natural language.72MIT
Related MCP Connectors
Citable retrieval across papers, books, patents, Wikipedia, and live social sources.
Patent search, USPTO data, patent landscape & pgvector prior-art search for agents.
Lens.org patent + scholarly search (free academic key required)
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/patsnap/patent-literature-search-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server