"Connecting Firebase to a data source or application" matching MCP servers:

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.

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.

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 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.

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like the Activity lifecycle, ViewModel restoration, or Compose internals can be inspected offline without relying on outdated training data.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 converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.

Converts any OpenAPI/Swagger spec into an MCP server, exposing REST API endpoints as tools for Claude.

Enables converting Markdown text into clean HTML for headings, lists, code blocks, tables, links, and images, with optional full-document wrapping via x402 micropayments.