Gong.io
Provides access to Gong.io conversation intelligence data through a TypeScript-based implementation. Enables AI assistants to query call recordings, retrieve transcripts with speaker attribution, access call summaries including participants and action items, and list workspace users. The implementation uses Zod validation for robust input handling and formats responses as markdown tables to optimize token usage, making it valuable for sales teams and revenue operations professionals who want to analyze call data, extract insights from customer conversations, and track meeting outcomes through natural language queries.
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
- other
- Source
- PulseMCP
- Repository
- github.com/justinbeckwith/gongio-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Gong.io 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.