USPTO Patents
Server Details
US patent search, assignee portfolios, and citation graph via PatentsView.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- guptaprakhariitr/uspto-patents-mcp
- GitHub Stars
- 0
- Server Listing
- uspto-patents-mcp
Available Tools
3 toolsuspto_assignee_portfolioAInspect
All patents assigned to a given entity. Paginates server-side; pass limit (max 5000).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| assignee | Yes | Assignee name, e.g. 'Microsoft Technology Licensing, LLC'. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses pagination behavior and the limit constraint (max 5000), but lacks details on whether the operation is read-only, any authentication needs, or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with high information density. Purpose and key parameter behavior are front-loaded with no redundant words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, so the agent cannot infer return structure (fields, format). Pagination details are incomplete (no offset/cursor mechanism). Given two parameters and no output schema, the description fails to provide full context for reliable tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50%; the description adds missing semantics for the 'limit' parameter (pagination context and max value) beyond the schema's numeric constraints. For the 'assignee' parameter, the schema already provides an example, so marginal additional value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns 'all patents assigned to a given entity,' which aligns with the tool name. It distinguishes from siblings uspto_patent_search (keyword search) and uspto_read_patent (single patent read) by specifying the focus on assignee-based listing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus its siblings. The description does not mention exclusions or alternatives, leaving the agent to infer usage from context alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
uspto_patent_searchBInspect
Search US patents by free-text query, assignee, inventor, and date range. Returns recent matches with title, date, abstract, and assignees.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | ||
| limit | No | ||
| query | No | Free-text search over title and abstract. | |
| date_to | No | ||
| assignee | No | ||
| inventor | No | ||
| date_from | No | ISO YYYY-MM-DD. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided to indicate read-only or destructive behavior. Description implies it's a search (likely read-only), but does not explicitly confirm no side effects, auth requirements, or rate limits. Given zero annotations, the description should carry this burden but offers minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence concisely covers purpose and output. Could be slightly more structured (e.g., separate lines for input vs output) but is efficient and front-loaded with the verb 'Search'.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, so description should explain return format. It mentions fields (title, date, abstract, assignees) but lacks details on ordering, pagination, or sorting (e.g., 'recent matches' is vague). With 7 parameters and no output schema, more completeness would improve agent decision-making.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 29% (2 of 7 parameters have descriptions). The description briefly mentions key parameters (query, assignee, inventor, date range) but does not provide format details except for date_from (ISO format). Baseline 3 for low coverage, with modest compensation from description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it searches US patents by free-text query, assignee, inventor, and date range, returning specific fields. This distinguishes it from sibling tools like uspto_assignee_portfolio (assignee-specific) and uspto_read_patent (single patent read), making the purpose and scope unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool vs siblings. However, the description implies it's the primary free-text search, and sibling names give some context. A clearer 'when to use' or exclusion criteria would improve this score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
uspto_read_patentAInspect
Fetch a single patent's full record: title, date, abstract, claims, assignees, inventors.
| Name | Required | Description | Default |
|---|---|---|---|
| patent_number | Yes | US patent number, e.g. '11000000' or 'US11,000,000'. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description carries burden. States 'Fetch' (read-only) and lists returned fields, but does not specify behavior on invalid patent numbers, rate limits, or authentication requirements. Adequate but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, front-loaded with verb and key fields. No wasted words; every part adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given low complexity (single parameter, no output schema), description covers what the tool does and what it returns. Could mention error handling or data source (USPTO database). Good but not exhaustive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 100% coverage with example format for patent_number. Description adds no additional meaning beyond the schema's parameter description. Baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states verb 'Fetch', resource 'single patent's full record', and lists specific fields (title, date, abstract, claims, assignees, inventors). Distinct from siblings uspto_assignee_portfolio (assignee-focused) and uspto_patent_search (search).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implies use when you need full patent data for a known patent number, but no explicit when-to-use or when-not-to-use guidance. No mention of alternatives like uspto_patent_search for broader queries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
3 tool updates
- First observed
uspto_assignee_portfolio - First observed
uspto_patent_search - First observed
uspto_read_patent
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Connectors
Patent search and company IP portfolio data
Patent & trademark IP search — patents, assignees, and inventors via Google Patents.
Patent search, USPTO data, patent landscape & pgvector prior-art search for agents.
Cited, confidence-stamped patent intelligence over US university tech-transfer out-licensing.
Related MCP Servers
- AlicenseAqualityDmaintenanceProvides AI agents with access to US patent data through 16 tools for search, citation analysis, technology trends, and portfolio comparisons via the free USPTO PatentsView API.15MIT
- AlicenseNot gradedqualityBmaintenanceEnables searching and retrieving US patent records and published applications via keyword, assignee, inventor, or patent number, with full details such as claims, citations, and patent family.12MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI agents to perform patent search, portfolio analysis, technology trend tracking, and semantic prior-art search using USPTO data.MIT
- AlicenseNot gradedqualityBmaintenanceProvides access to USPTO enriched citation and office action citation APIs with smart context reduction and progressive disclosure workflows for patent citation analysis.6MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool targets a distinct operation: assignee portfolio, general search, and single patent retrieval. No overlap in purpose, descriptions clearly differentiate them.
All tools share the 'uspto_' prefix and snake_case, but inconsistent verb/noun positions: two are noun phrases ('assignee_portfolio', 'patent_search') and one is verb_noun ('read_patent'). Minor deviation.
Three tools is a reasonable minimal set for a patent database: search, assignee-specific listing, and full patent retrieval. Could be slightly more expansive but not insufficient.
Covers core functionality: search by multiple criteria, get a patent by ID, and list all patents of an assignee. Missing patent classification or inventor-specific search, but adequate for primary use cases.