API Tools
weir.ai
Provides API endpoints to interact with the WEIR AI license catalog for identity rights.
ENDPOINT 1
https://wapi.weir.ai/mcp
MCP server metadata
- Name
- weir-ai-mcp
- Version
- 1.1.0
WEIR AI is an identity-rights platform: people register their name, image, and likeness (NIL) and assign a license type that controls how others may use it. License types you will see in the catalog: - open: free to use, often with attribution. - earn: paid commercial license — the rights holder accepts purchases via the entry's purchase_url. - protect: actively monitored; commercial use is discouraged and may trigger takedowns. - blocked: no use permitted. Call the license_types tool any time you need to remind the user what a type means. Reading catalog results: - display_name = "Anonymous" is a deliberate privacy choice by the rights holder, NOT missing data. Do not flag it as a quality issue. - is_verified refers to identity verification of the rights holder, not whether the listing is real. - Always surface the purchase_url when suggesting how to license something. Suggested flow: 1. Use search_catalog (public) to discover what is licensable. 2. Use get_public_license to drill into a single entry without auth. 3. For the user's OWN licenses or mentions, use list_licenses / list_license_mentions — these need a Bearer token. Authentication: tools marked Bearer-required need an access token the user obtains from https://weir.ai/developers/keys then exchanges at POST https://wapi.weir.ai/auth/token. If you don't have one, ask the user — don't give up. Never store or redistribute biometric/reference images. Always route purchases through WEIR AI purchase_urls.
Known tools 14
discoveryReturns the WEIR AI service discovery document (.well-known/weir): public endpoints, base URL, rate limits.
Inferred read-onlylicense_typesReturns the canonical WEIR AI license types (open, earn, protect, blocked) with plain-English definitions.
Inferred read-onlysearch_catalogBrowse the public WEIR AI license catalog of identity rights (name, image, likeness) available for licensing.
Inferred read-onlyget_public_licenseDrill into a single public catalog entry by its external_id (e.g.
Inferred read-onlylist_licensesList identity licenses the AUTHENTICATED user owns or has been granted.
Inferred read-onlyget_licenseGet full detail for a license the authenticated user has access to, by external_id.
Inferred read-onlylist_license_mentionsList detected mentions (web/social uses) for a specific license the user has access to.
Inferred read-onlycreate_webhookCreate a webhook subscription for events such as new mentions or license updates.
Potential side effectsCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.weir-ai-mcp]
url = "https://wapi.weir.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"weir-ai-mcp": {
"type": "http",
"url": "https://wapi.weir.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: weir-ai-mcp
Remote MCP URL: https://wapi.weir.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"weir-ai-mcp": {
"url": "https://wapi.weir.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"weir-ai-mcp": {
"type": "http",
"url": "https://wapi.weir.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "weir-ai-mcp",
"transport": "streamable-http",
"url": "https://wapi.weir.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for weir.ai was fetched 2026-07-26T07:02:27.798Z and is being refreshed.
weir.ai is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.