
OSIRIUM
Model Context Protocol for secure AI attestation on ETH
OSIRIUM launched on May 18, 2025 with 8 votes, #2,977 of 7,905 launches that month and more than 50% of that year's launches.
What it does
Built on evm-mcp-tools, it connects Claude-powered agents to the chain, enabling autonomous workflows like trading, auditing, tracking in real time.
Does a similar job
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EnrichMCP – A Python ORM for Agents2025 · github.com · ▲133I've been working with the Featureform team on their new open-source project, [EnrichMCP][1], a Python ORM framework that helps AI agents understand and interact with your data in a structured, semantic way. EnrichMCP is built on top of [MCP][2] and acts like an ORM, but for agents instead of humans. You define your data model using SQLAlchemy, APIs, or custom logic, and EnrichMCP turns it into a type-safe, introspectable interface that agents can discover, traverse, and invoke. It auto-generates tools from your models, validates all I/O with Pydantic, handles relationships, and…
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- Salestrics MCPAug 2026 · salestrics.com · ▲37
Hey HN, I’m Austin, founder of Salestrics (salestrics.com). The Problem: > Most AI agents today are trapped in chat windows. While models are smart enough to run complex multi-step workflows, giving them production access to business context (CRM, support, billing) usually means managing unsafe local API keys or hacking together fragile point-solution scripts. What We Built: We built Salestrics to serve as both an all-in-one revenue workspace (CRM, service desk, billing, docs, email) and a production-grade Model Context Protocol (MCP) execution proxy. How It Works: Unified Context: Instead…
Source: Product Hunt launch ↗
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