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keepgoing-dev/mcp-server

by Various

KeepGoing MCP server - Project memory for AI coding assistants

K

MCP

keepgoing-dev/mcp-server

Added 1 June 2026

Overview

KeepGoing MCP server is a TypeScript-based tool that provides project memory for AI coding assistants. It stores and retrieves contextual information about a codebase to help assistants maintain continuity across sessions.

Best for

Best for
Developers experimenting with persistent memory for AI coding assistants in small projects

Use cases

  • Persisting project context for AI coding assistants across sessions
  • Storing and retrieving codebase metadata for assistant reference
  • Enabling assistants to recall previous decisions and project state

Notes

KeepGoing MCP server is a TypeScript-based tool that provides project memory for AI coding assistants. It stores and retrieves contextual information about a codebase to help assistants maintain continuity across sessions.

2 stars on GitHub. Last updated 2026-05-14. Licensed MIT.

Use cases

  • Persisting project context for AI coding assistants across sessions
  • Storing and retrieving codebase metadata for assistant reference
  • Enabling assistants to recall previous decisions and project state

Pros

  • Lightweight TypeScript implementation with low overhead
  • Open source with permissive license for customization
  • Integrates with MCP-compatible AI coding assistants

Cons

  • Very early stage with only 2 GitHub stars and limited community
  • No documented examples or usage guides beyond basic README
  • Dependent on MCP protocol adoption which is still emerging

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

Pros

  • Lightweight TypeScript implementation with low overhead
  • Open source with permissive license for customization
  • Integrates with MCP-compatible AI coding assistants

Cons

  • Very early stage with only 2 GitHub stars and limited community
  • No documented examples or usage guides beyond basic README
  • Dependent on MCP protocol adoption which is still emerging