SuperAPI AI Directory

sequa-mcp

Gives AI coding tools context from your entire codebase and docs via Sequa.

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About this tool

Sequa MCP is the entry point for using Sequa, implemented based on the Model Context Protocol (MCP). It adds Sequa as an MCP server to Cursor, Claude, Windsurf, VSCode, Cline, Highlight, Augment, or other MCP-compatible clients, thereby providing AI programming tools with context from the entire codebase and documentation.

Purpose Sequa is positioned as a "self-maintaining documentation for developers and AI" tool, with the goal of transforming codebases into always up-to-date documentation so that engineers and AI no longer read outdated documentation. The material points out that 70% of documentation is never updated after the underlying facts change, and 30% of development time is spent on searching, handling interruptions, and rework; documentation being disconnected from code, knowledge scattered across multiple tools, and experts repeatedly answering the same questions lead to slower onboarding, lost context, and teams wasting time finding answers instead of building. Sequa solves these problems through a contextual knowledge engine.

Main capabilities According to the material, Sequa can: generate documentation that stays accurate, including architecture overviews, API documentation, runbooks, and onboarding guides; continuously update documentation from code, eliminating outdated pages and manual maintenance; unify knowledge across repositories, no longer requiring back-and-forth searching between Confluence, Slack, and GitHub; support teams and AI agents, allowing natural language questions to obtain the latest answers with source links.

How to use Before using Sequa MCP, prerequisites must be met: first create or log in to a Sequa account at https://app.sequa.ai/login ; set up a project in the Sequa app; in that project, find the MCP Setup URLs and choose the transport method supported by your AI agent; copy the URL or configuration and install it into the client. The material specifically reminds: if project creation is skipped, the MCP server will refuse the connection—the agent can start, but will receive authentication or project errors.

Quick start (agent startup) The material mentions that NPX is the most common method, and notes that if using a project-specific endpoint, the URL needs to be replaced.

IDE / tool configuration The material lists the configuration file locations for each client: Cursor (~/.cursor/mcp.json), Claude Desktop (Settings → Developer → Edit Config), Windsurf (~/.codeium/windsurf/mcp_config.json), VS Code (.vscode/mcp.json), Cline / Claude Dev Tools (cline_mcp_settings.json), Highlight AI (GUI → Plugins → Custom Plugin → Add using a command), and augment_config.json.

Use cases Suitable for teams that want AI programming tools such as Copilot and Cursor to directly understand the entire codebase and documentation; suitable for R&D organizations that need to reduce outdated documentation, scattered knowledge, and repeated Q&A; suitable for developers who need to unify knowledge across repositories and obtain sourced answers using natural language.

Limitations The material does not provide specific pricing methods, prices, platform support scope, performance data, or detailed usage steps. Before use, a Sequa account must be created and a project must be set up, otherwise the MCP server will refuse the connection.