RipperMercs/tensorfeed

Overview

RipperMercs/tensorfeed is a TypeScript implementation of an MCP server for the TensorFeed platform. It provides an interface for connecting TensorFeed services with MCP-compatible clients. The project is listed in the curated awesome-mcp-servers collection and currently has minimal adoption.

Best for

Best for
Developers exploring TensorFeed integration via MCP who need a minimal starting point

Use cases

• Exposing TensorFeed data and operations through the Model Context Protocol
• Building MCP-based agents or tools that interact with TensorFeed
• Integrating TensorFeed into development workflows that use MCP clients

Notes

RipperMercs/tensorfeed is a TypeScript implementation of an MCP server for the TensorFeed platform. It provides an interface for connecting TensorFeed services with MCP-compatible clients. The project is listed in the curated awesome-mcp-servers collection and currently has minimal adoption.

1 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Exposing TensorFeed data and operations through the Model Context Protocol
• Building MCP-based agents or tools that interact with TensorFeed
• Integrating TensorFeed into development workflows that use MCP clients

Pros

• Written in TypeScript, offering type safety and modern tooling
• Listed in the reputable awesome-mcp-servers curated index
• Lightweight structure that is easy to examine or extend

Cons

• Very low community traction (1 star) suggests limited testing or usage
• Lacks documentation, examples, or clear setup guides
• Uncertain production readiness and ongoing maintenance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.