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mcp-server

[![decision-anchor/mcp-server MCP server](https://glama.ai/mcp/servers/decision-anchor/mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/decision-anch…

mcp-server is a community MCP server that connects AI assistants like Claude to [![decision-anchor/mcp-server mcp server](https://glama.ai/mcp/servers/decision-anchor/mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/decision-anch…. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About mcp-server

Overview

📇 ☁️ - External anchoring layer that records AI agent accountability boundaries on both sides — content-blind, non-judgmental. Remote streamable HTTP at https://mcp.decision-anchor.com/mcp; free trial, then pay-per-call USDC (x402) on Base.

Links

GitHub Repository

Topics

mcp-server

Who Should Use mcp-server?

1Chain AI models and pipelines through a unified MCP interface
2Let Claude orchestrate other AI tools and models
3Integrate embeddings, image generation, or speech APIs into your workflow
4Build multi-model workflows without writing custom integration code

How mcp-server Compares

✦It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.

✦Compared to other AI & ML MCP servers, it focuses on a well-scoped set of capabilities, which keeps the integration lightweight and predictable.

Reviews

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