"An open-source backend-as-a-service platform for developers" matching MCP servers:

Enables agents to discover Mastercard Developers services and access integration guides and API documentation through the Model Context Protocol.

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.

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.

Turns Claude-style skill folders into MCP tools, resources, and prompts for discovering and using skills.

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.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

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.

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.

Enables users to look up, search and compare the listing and submission requirements that Claude, ChatGPT, Cursor and the Official MCP Registry impose on connectors and plugins. Every answer comes from a bundled, read-only dataset and carries source citations, an evidence label and the date the requirement was last verified.

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 AI agents to retrieve free, source-linked decision methods and optional decision packs through MCP tools such as catalog, method, sample_pack, and pack_offer. It operates without model calls and disables payments by default.

Enables MCP-based access to Adhoc documentation, providing search, content retrieval, and feedback issue creation with audience gating and leak protection.

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.

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.

A self-synthesizing AI knowledge wiki that provides a read-only MCP surface for external agents to trace the wiki content and graph.

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 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.