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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Servers/Search & Data Extraction/Mastra Docs Server
Search & Data ExtractionOfficial
M

Mastra Docs Server

Provides AI assistants with direct access to Mastra.ai's complete knowledge base.

27.5k starsUpdated Aug 28, 2026
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Overview

Access Mastra's documentation via Model Context Protocol (MCP). Works with Cursor, Windsurf, Cline, Claude Code, VS Code, Codex, or any MCP-compatible tool. Follow the official installation instructions. Fetch documentation from mastra.ai by path. Supports guides and API references. Navigate migration guides for version upgrades. Supports directory browsing, section listing, and keyword search. Read docs from installed @mastra/ packages in node_modules. All tools require projectPath parameter. Entry point showing all available documentation tools and recommended workflows.

Installation

Installation instructions are not available yet.

Configuration

Configuration example is not available yet.

Capabilities

  • Fetch docs by path

    Ask for a specific Mastra guide or API reference via `mastraDocs`, e.g., "show me the agents guide."

  • Explore installed packages

    List local `@mastra/*` packages with `listMastraPackages` and inspect their exports, types, and source via `getMastraExports` and `getMastraExportDetails`.

  • Search embedded documentation

    Run full-text queries across all docs with `searchMastraDocs`, or read topic-based guides like tools and workflows via `readMastraDocs`.

  • Navigate version migrations

    Use `mastraMigration` to browse migration guides, list sections, or search keywords for upgrading between versions.

  • Track interactive course progress

    Start or resume the Mastra course with `startMastraCourse`, check status via `getMastraCourseStatus`, and advance through lessons with `startMastraCourseLesson` and `nextMastraCourseStep`.

  • Get guided upgrade workflows

    Trigger the `upgrade-to-v1` prompt for a step-by-step v0.x-to-v1.0 migration, or request the `migration-checklist` for all breaking changes.

Tags

  • documentation
  • knowledge-retrieval
  • ai-agent

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