@arbitova/mcp-server
by Various
Arbitova — AI-powered trade arbitration platform. Neutral verdict engine for disputed transactions, with MCP server, TypeScript & Python SDKs.
MCP
@arbitova/mcp-server
Added 1 June 2026
Overview
A trade arbitration platform that provides a neutral verdict engine for disputed transactions. Includes an MCP server with TypeScript and Python SDKs for integration into trading systems.
Best for
Best for
Developers needing to add dispute resolution capabilities to trading platforms
Use cases
- Resolve trade disputes programmatically with a verdict engine
- Integrate arbitration logic into existing trading platforms via MCP
- Automate transaction dispute handling using the provided SDKs
Notes
A trade arbitration platform that provides a neutral verdict engine for disputed transactions. Includes an MCP server with TypeScript and Python SDKs for integration into trading systems.
1 stars on GitHub. Last updated 2026-04-28. Licensed MIT.
Use cases
- Resolve trade disputes programmatically with a verdict engine
- Integrate arbitration logic into existing trading platforms via MCP
- Automate transaction dispute handling using the provided SDKs
Pros
- Provides a structured, neutral arbitration mechanism for disputes
- Includes SDKs in popular languages for easier integration
- Open source with a clear protocol (MCP) for extensibility
Cons
- Very low adoption (1 star), indicating limited community or maturity
- Documentation and support may be minimal
- Listed language is HTML, which is unusual for a server tool; implementation quality unclear
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides a structured, neutral arbitration mechanism for disputes
- Includes SDKs in popular languages for easier integration
- Open source with a clear protocol (MCP) for extensibility
Cons
- Very low adoption (1 star), indicating limited community or maturity
- Documentation and support may be minimal
- Listed language is HTML, which is unusual for a server tool; implementation quality unclear
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