About FilmRightsProof
Film/TV public-record rights intelligence for AI agents with provenance and bounded verification
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://filmrightsproof.davisvillelabs.com/mcpclaude mcp add --transport http com-davisvillelabs-filmrights-filmrightsproof https://filmrightsproof.davisvillelabs.com/mcp{"mcpServers":{"com-davisvillelabs-filmrights-filmrightsproof":{"type":"http","url":"https://filmrightsproof.davisvillelabs.com/mcp"}}}Open in Cursor{"servers":{"com-davisvillelabs-filmrights-filmrightsproof":{"type":"http","url":"https://filmrightsproof.davisvillelabs.com/mcp"}}}Open in VS Code{"mcpServers":{"com-davisvillelabs-filmrights-filmrightsproof":{"type":"http","url":"https://filmrightsproof.davisvillelabs.com/mcp"}}}{"mcpServers":{"com-davisvillelabs-filmrights-filmrightsproof":{"serverUrl":"https://filmrightsproof.davisvillelabs.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
2| Parameter | Type | Required | Description |
|---|---|---|---|
| year | integer | No | Optional release, publication, creation, or registration year used to narrow candidate matches. |
| limit | integer | No | Maximum number of candidate public-record matches to return or inspect. |
| title | string | Yes | Film, television, or underlying creative-work title to search in U.S. Copyright Office public records. |
| creator | string | No | Optional creator, author, writer, director, producer, or other credited name used to disambiguate similarly titled works. |
| workType | string | No | Optional work-type hint, such as motion picture, television, screenplay, book, or other underlying creative work. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.