tl;dv
TLDV-MCP is a server implementation that provides access to the TLDV API for meeting data through the Model Context Protocol. It enables AI assistants to retrieve meeting metadata, transcripts, and highlights from recorded meetings stored in TLDV. The server exposes four main tools: getting meeting details by ID, retrieving time-stamped transcripts, listing meetings with filtering options, and accessing meeting highlights. Built with TypeScript and packaged as a Docker container, it's particularly useful for teams who need to search, analyze, or reference information from their recorded meetings within AI workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/tldv-public/tldv-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve tl;dv from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.