"Open source MCP servers on Glama and other marketplaces" matching MCP servers:

A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.

Provides on-demand access to AOSP and Jetpack source code to help AI understand Android framework internals. It features a hybrid architecture using Tree-sitter and LSP for precise code extraction, cross-file navigation, and local source indexing.

An open-source MCP implementation providing document management functionality. This project aims to replicate Cursor's @Docs functionality.

An MCP server that enables AI assistants to navigate, search, and analyze local Keycloak source code to support developer customizations like SPIs and authenticators. It provides tools for searching classes, generating boilerplate code, detecting breaking changes between versions, and tracing dependencies.

Enables AI assistants to inspect enrolled courses, extract readable text from course documents, track upcoming deadlines, view announcements, and retrieve assignment details through the platform’s REST API.

Enables AI tools to query precise, on-demand AOSP and AndroidX source code for class and method inspection, inheritance, source searches, and optional LSP-powered cross-file navigation.

Enables AI tools to query precise AOSP and AndroidX source code on demand, including class and method lookup, member listings, inheritance chains, source searches, and optional cross-file navigation via LSP.

Enables AI assistants to query real AOSP and AndroidX source code on demand, offering class and method lookup, class member and hierarchy inspection, source-wide text/regex search, and optional LSP-powered cross-file definition, reference, and type resolution from a local offline cache.

Enables precise, on-demand access to AOSP framework and Jetpack/AndroidX source code so AI tools can inspect classes, methods, inheritance hierarchies, and cross-file references.

Enables AI tools to query precise AOSP and AndroidX source code on demand, including class and method lookups, hierarchy inspection, source searches, and optional cross-file navigation via LSP.

Provides AI tools with on-demand, precise access to real AOSP framework and AndroidX source code, so they can search classes, extract exact method bodies with Javadoc, inspect inheritance hierarchies, and trace definitions and references across the entire tree. Sources are synced locally for fast, offline lookups, with optional language-server features for cross-file navigation.

Enables AI assistants to search and read real AOSP and AndroidX source code on demand, including class lookups, precise method bodies with Javadoc, inheritance hierarchies, regex source search, and optional LSP-powered cross-file definition, reference, and type information. Sources are synced locally so framework internals like the Activity lifecycle, ViewModel restoration, or Compose internals can be inspected offline without relying on outdated training data.

Provides on-demand, precise access to AOSP and AndroidX source code so an AI can look up classes, extract method bodies and documentation, inspect inheritance, and optionally perform cross-file symbol navigation via LSP.

Enables on-demand access to actual AOSP and AndroidX source code, allowing AI tools to search classes, extract method bodies, inspect inheritance, and navigate definitions or references across Android framework internals and Jetpack libraries.

Enables AI tools to query AOSP and AndroidX source code on demand, supporting class and method lookup, hierarchy inspection, source search, and optional cross-file navigation.

Enables AI tools to retrieve and search actual AOSP and AndroidX source code on demand, including class lookup, method extraction, class members, hierarchy, source search, and optional cross-file navigation via LSP. It provides precise, offline-ready access to framework internals such as Activity lifecycle, ViewModel restoration, and Compose internals.

Enables AI assistants to search and read the official Open Play developer documentation and inspect TypeScript and Unity SDK symbols, signatures, and summaries.

Lets AI agents search 170 Bilibili open-platform docs and 100 endpoints, then build 2.0 HMAC-SHA256 signatures, run OAuth2 flows, plan video uploads, verify webhooks, and call live-room WebSocket protocols. Also handles cookie-based web requests with automatic csrf and wbi signing, plus code generation, error-code lookup, and sandbox mocks.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

Enables AI coding agents to search and read local Markdown knowledge bases generated by Agent Docs for Markdown, across single or multiple workspaces, including link/backlink discovery and index status checks.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Provides a real API for coding agents to look up design system components, props, and tokens, preventing guessed answers.

Read-only MCP connector that serves the Run It on AI book. The index and Implementation Blocks are free; full chapters and playbooks unlock with a license key included with the book.

AI context management for codebases – enables Claude Code to read, search, and update project documentation via MCP.

Enables AI assistants to search and query documentation from multiple sources including Voiceflow and Claude Code, with full-text search, code examples retrieval, and step-by-step tutorials access.

A zero-database MCP knowledgebase template for Vercel that exposes static Markdown content to AI agents through clean MCP surfaces.

Official MinerU MCP server for parsing PDF, DOCX, PPTX, images, and HTML into Markdown. Supports 109-language OCR, Flash mode (no token), and Precision mode (token)

Provides LLMs with direct access to official vendor PDF documentation for electronics components (TI, ST, ADI) via a local SQLite full-text index and PDF retrieval tools.

A TypeScript-based server that visualizes project directory structures in Markdown format, automatically documenting file contents with syntax highlighting and supporting customizable exclusion patterns.

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.