TaskWing

by josephgoksu · MCP Server · ★ 87

About TaskWing

Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture.

aiarchitectureclaudeclaude-codeclicode-intelligencecodex-clideveloper-toolsgeminigolang

Quick Facts

Stars87
Forks6
LanguageGo
CategoryMCP Server
Quality Score33.25/100
Open Issues2
Last Updated2026-05-12
Created2025-06-03
Platformsclaude-code, cli, codex, gemini, go, mcp
Est. Tokens~366k

Compatible Skills

These tools work well together with TaskWing for enhanced workflows:

  • cli — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • autopus-adk — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • pockode — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • flow — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • ai-rulez — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Go Agent Tools

Frequently Asked Questions

What is TaskWing?

TaskWing is Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture.. It is categorized as a MCP Server with 87 GitHub stars.

What programming language is TaskWing written in?

TaskWing is primarily written in Go. It covers topics such as ai, architecture, claude.

How do I install or use TaskWing?

You can find installation instructions and usage details in the TaskWing GitHub repository at github.com/josephgoksu/TaskWing. The project has 87 stars and 6 forks, indicating an active community.

View on GitHub → Browse MCP Server tools