sequa-ai/sequa-mcp
by Various
π βοΈ π§ π πͺ - Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
MCP
sequa-ai/sequa-mcp
Added 1 June 2026
Overview
Sequia MCP is an open-source TypeScript tool that provides a Model Context Protocol server for AI coding assistants like GitHub Copilot and Cursor. It automatically surfaces your entire codebase and documentation to these tools, eliminating the need to manually paste context.
Best for
Best for
Developers who want their AI coding assistants to automatically understand the full codebase and docs.
Use cases
- Give Copilot full codebase awareness without manual context stitching
- Integrate with Cursor for context-rich code suggestions
- Automatically include project documentation in AI prompts
How to use
Install
npx -y @sequa-ai/sequa-mcp@latest https://mcp.sequa.ai/v1/setup-code-assistant Tools exposed
npx
Tested with
Cursor, Claude Desktop, Windsurf, VS Code, Cline, Highlight AI, Augment Code
Example client config
{\n "mcpServers": {\n "sequa": {\n "url": "https://mcp.sequa.ai/v1/setup-code-assistant"\n }\n }\n} Notes
Sequia MCP is an open-source TypeScript tool that provides a Model Context Protocol server for AI coding assistants like GitHub Copilot and Cursor. It automatically surfaces your entire codebase and documentation to these tools, eliminating the need to manually paste context.
20 stars on GitHub. Last updated 2025-12-09. Licensed MIT.
Use cases
- Give Copilot full codebase awareness without manual context stitching
- Integrate with Cursor for context-rich code suggestions
- Automatically include project documentation in AI prompts
Pros
- Saves time by automating context delivery to AI assistants
- Works with multiple popular AI coding tools (Copilot, Cursor)
- Open-source and written in TypeScript for easy customization
Cons
- Requires initial setup and configuration per project or IDE
- Limited to AI tools that support the Model Context Protocol
- Small community (20 GitHub stars) may mean slower support or updates
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Saves time by automating context delivery to AI assistants
- Works with multiple popular AI coding tools (Copilot, Cursor)
- Open-source and written in TypeScript for easy customization
Cons
- Requires initial setup and configuration per project or IDE
- Limited to AI tools that support the Model Context Protocol
- Small community (20 GitHub stars) may mean slower support or updates
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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