seaworthy-io/seaworthy-mcp
by Various
Open MCP server for disability insurance: an agent-callable quoterequest action plus carrier/coverage research tools, by Seaworthy Insurance Agency.
MCP
seaworthy-io/seaworthy-mcp
Added 7 June 2026
Overview
An open-source MCP server for disability insurance, providing an agent-callable quoterequest action and tools for carrier and coverage research. Built in TypeScript by Seaworthy Insurance Agency, it enables AI agents to interact with disability insurance data.
Best for
Best for
Developers building AI agents for disability insurance brokers or agencies
Use cases
- Integrate disability insurance quoting into AI assistants
- Automate carrier and coverage research for agents
- Build custom insurance workflow tools with MCP protocol
Notes
An open-source MCP server for disability insurance, providing an agent-callable quoterequest action and tools for carrier and coverage research. Built in TypeScript by Seaworthy Insurance Agency, it enables AI agents to interact with disability insurance data.
0 stars on GitHub. Last updated 2026-06-04. Licensed MIT.
Use cases
- Integrate disability insurance quoting into AI assistants
- Automate carrier and coverage research for agents
- Build custom insurance workflow tools with MCP protocol
Pros
- Open source and transparent with TypeScript codebase
- Tailored to a specific domain (disability insurance)
- Provides a clear, agent-callable action for quotes
Cons
- Zero stars on GitHub indicates very limited adoption or validation
- Only supports disability insurance, not other insurance types
- Likely early-stage with sparse documentation and community support
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source and transparent with TypeScript codebase
- Tailored to a specific domain (disability insurance)
- Provides a clear, agent-callable action for quotes
Cons
- Zero stars on GitHub indicates very limited adoption or validation
- Only supports disability insurance, not other insurance types
- Likely early-stage with sparse documentation and community support
Pairs with
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