negoro26/mcp-taiga
by Various
Model Context Protocol server for Taiga: 6 tools, 28 operations across issues, stories, tasks, epics, sprints, comments, attachments & wiki. Works with Claude Code, Cursor, VS Code
MCP
negoro26/mcp-taiga
Added 8 Sept 2026
Overview
Model Context Protocol server for Taiga, exposing 6 tools and 28 operations across issues, stories, tasks, epics, sprints, comments, attachments, and wiki. Works with 15+ MCP clients including Claude Code, Cursor, VS Code, Windsurf, and Gemini CLI, over stdio or streamable HTTP.
Best for
Best for
Teams using Taiga who want an MCP bridge to manage project data from AI coding tools
Use cases
- Query and update Taiga issues directly from an AI chat assistant
- Retrieve sprint status and task comments inside an IDE like Cursor
- Browse and edit wiki pages with MCP-compatible CLI tools
Notes
Model Context Protocol server for Taiga, exposing 6 tools and 28 operations across issues, stories, tasks, epics, sprints, comments, attachments, and wiki. Works with 15+ MCP clients including Claude Code, Cursor, VS Code, Windsurf, and Gemini CLI, over stdio or streamable HTTP.
0 stars on GitHub. Last updated 2026-08-24. Licensed MIT.
Use cases
- Query and update Taiga issues directly from an AI chat assistant
- Retrieve sprint status and task comments inside an IDE like Cursor
- Browse and edit wiki pages with MCP-compatible CLI tools
Pros
- Covers a wide range of Taiga entities with 28 operations
- Supports both stdio and streamable HTTP transports
- Readily connects to many major MCP-driven editor and CLI clients
Cons
- Zero GitHub stars, suggesting little community validation
- Only 6 tools for 28 operations, so complex actions may need dense arguments
- No release history or configuration examples provided in the repo
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a wide range of Taiga entities with 28 operations
- Supports both stdio and streamable HTTP transports
- Readily connects to many major MCP-driven editor and CLI clients
Cons
- Zero GitHub stars, suggesting little community validation
- Only 6 tools for 28 operations, so complex actions may need dense arguments
- No release history or configuration examples provided in the repo
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