What is the Arc Memory MCP Server?
The Arc Memory MCP Server is a bridge that connects AI agents with the Arc Memory Temporal Knowledge Graph (TKG). It allows AI models to access structured, verifiable context about your codebase, including its history and relationships.
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. The Arc Memory MCP Server implements this protocol to ensure compatibility with various AI assistants.
What is the Arc Memory Ecosystem?
The Arc Memory Ecosystem is a comprehensive framework designed to serve as the memory layer for AI-assisted development. The MCP Server is a key component of this ecosystem.
What are the key features of the Arc Memory MCP Server?
Key features include:
- Access to structured, verifiable context
- Enhanced code understanding for AI agents
- Improved code generation and reviews
- Decision archaeology capabilities
- Integration with popular AI assistants
- MCP compliance
What AI assistants are compatible with the Arc Memory MCP Server?
The server is compatible with Claude Desktop, VS Code Agent Mode, Cursor, Windsurf, and other MCP-compatible clients.
What use cases does the Arc Memory MCP Server enable?
Use cases include:
- Code understanding with historical context
- Intelligent code reviews
- Decision archaeology
- Contextual code generation
- Knowledge transfer for new team members
What are the requirements for running the Arc Memory MCP Server?
Requirements include:
- Python 3.10 or higher
mcpPython SDK (>=1.6.0)arc-memoryPython package (>=0.2.2)
How do I install the Arc Memory MCP Server?
Refer to the Installation section in the documentation, which recommends using uv for package management.
How do I configure the server with Claude Desktop?
Refer to the Integration with Claude Desktop section in the documentation, which provides instructions for modifying the Claude Desktop configuration file.
How do I test the Arc Memory MCP Server?
You can use the provided test script (python tests/test.py). You can also test with mock data if you don’t have a local Arc Memory database set up.
What is UBOS?
UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.
Arc Memory MCP Server
Project Details
- Arc-Computer/arc-mcp-server
- MIT License
- Last Updated: 4/29/2025
Recomended MCP Servers
MCP to query your shopify store
Python tool for converting files and office documents to Markdown.
This read-only MCP Server allows you to connect to xBase data from Claude Desktop through CData JDBC Drivers....
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A Model Context Protocol (MCP) server that converts various file formats to Markdown using the MarkItDown utility.
MCP Gateway - translate MCP tool-callings to HTTP requests
Analytical MCP Server: Enhancing AI with Structured Problem-Solving Tools
The MCP Code Executor is an MCP server that allows LLMs to execute Python code within a specified...
My clone repository
The Advanced Scientific Research (ASR) Graph of Thoughts (GoT) MCP server is a highly efficient implementation of the...
This project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that...
context7 mcp server for cursor





