Agent-Reach
MCP ServerFreeGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Capabilities14 decomposed
unified-multi-platform-content-reading-via-url-dispatch
Medium confidenceAccepts any URL and automatically routes it to the correct platform-specific channel handler (Twitter, YouTube, Reddit, GitHub, etc.) using an ordered channel registry with can_handle() pattern matching. Returns normalized markdown/text output regardless of source platform. Implements a thin routing layer where each platform is an independent Python file inheriting from a shared Channel abstract base class, eliminating the need for users to select tools per-platform.
Uses a pluggable channel architecture where each platform is a swappable Python file implementing a shared abstract interface, allowing backends to be replaced without touching core routing logic. This is explicitly scaffolding (pre-selected tool wiring) rather than a framework, making it agent-first rather than requiring human configuration per platform.
Eliminates the need to install and configure separate tools for each platform (e.g., bird CLI for Twitter, yt-dlp for YouTube, gh CLI for GitHub) by providing a single unified CLI entry point with zero mandatory API fees.
platform-agnostic-search-across-twitter-reddit-youtube-github
Medium confidenceExecutes search queries against multiple platforms (Twitter, Reddit, YouTube, GitHub, Weibo, V2EX, Xueqiu) through a unified search command interface. Each platform channel implements a search() method that translates the query to platform-specific syntax and returns normalized results. Backends use free tools (bird CLI for Twitter, gh CLI for GitHub, yt-dlp for YouTube) or public JSON APIs (V2EX, Xueqiu) to avoid paid API subscriptions.
Implements search across both Western platforms (Twitter, Reddit, YouTube, GitHub) and Chinese platforms (Weibo, V2EX, Xueqiu) using a unified interface, with each channel selecting the most cost-effective backend (free public APIs, CLI tools, or cookie-based scraping) rather than requiring paid API subscriptions.
Provides zero-cost multi-platform search by leveraging free backends (bird CLI, gh CLI, public JSON APIs) instead of requiring separate API keys for each platform, making it accessible to developers without search API budgets.
weibo-post-and-search-via-mcp-server
Medium confidenceAccesses Weibo (Chinese Twitter equivalent) through an MCP server (mcp-server-weibo) that provides structured access to posts, user profiles, and search functionality. The Agent-Reach Weibo channel acts as a client to this MCP service, translating read/search requests into MCP calls and returning normalized results. Enables agents to analyze Chinese social media discussions and trends without Weibo API credentials.
Implements Weibo access through an MCP (Model Context Protocol) server rather than direct scraping, providing a more structured and maintainable integration. This is a tier-2 platform that requires MCP service setup, demonstrating Agent-Reach's support for complex integrations beyond simple scraping.
Provides structured Weibo access through an MCP server, which is more maintainable than direct scraping and allows for easier updates when Weibo changes; however, it adds operational complexity by requiring a separate service to be running.
v2ex-and-xueqiu-public-api-based-search-and-reading
Medium confidenceAccesses V2EX (Chinese developer community) and Xueqiu (Chinese stock discussion platform) using their public JSON APIs, which require no authentication. Accepts URLs and search queries; makes HTTP requests to the public APIs; parses JSON responses; and returns normalized markdown with post content, comments, and metadata. Enables agents to analyze Chinese developer discussions and investment sentiment without API keys.
Leverages public JSON APIs from V2EX and Xueqiu that require no authentication, making these platforms accessible without credentials. This is a tier-0 approach for Chinese platforms, providing immediate value without setup complexity.
Provides zero-cost access to V2EX and Xueqiu using public APIs that don't require authentication or API keys, unlike most platforms; however, these APIs are undocumented and may change or impose rate limits without notice.
exa-semantic-search-via-mcporter-integration
Medium confidenceIntegrates with Exa (a semantic search API) through the mcporter MCP service, enabling agents to perform semantic web search without managing Exa API keys directly. Translates search queries into Exa API calls through the MCP service, returns ranked search results with relevance scores, and enables filtering by content type, date range, and domain. Provides a unified semantic search interface that complements platform-specific searches.
Integrates Exa semantic search through mcporter MCP service, providing relevance-ranked web search results without requiring agents to manage Exa API keys directly. This is a tier-2 platform that demonstrates Agent-Reach's support for cloud-based search APIs through MCP abstraction.
Provides semantic web search with relevance ranking through Exa, which is more accurate than keyword-based search; however, it requires running an MCP service and has API costs, unlike free platform-specific searches (Twitter, Reddit, YouTube).
pluggable-channel-architecture-for-custom-platform-integration
Medium confidenceProvides an extensible architecture where each platform is implemented as an independent Python file in agent_reach/channels/ inheriting from a shared Channel abstract base class. Developers can add new platforms by creating a new channel file implementing read() and search() methods, without modifying core routing logic. The channel registry (ALL_CHANNELS) is iterated in order until a can_handle() match is found, enabling new platforms to be added without touching the core AgentReach class.
Implements a clean plugin architecture where each platform is a swappable Python file inheriting from Channel abstract base class, with no core routing logic changes required to add new platforms. This is explicitly documented as a design principle: 'scaffolding, not a framework' — pre-selected tool wiring that is fully replaceable.
Enables custom platform integration without forking or modifying core code, unlike monolithic tools that require core changes for new platforms. The abstract Channel interface ensures consistency across platforms while allowing complete backend flexibility.
credential-local-cookie-and-token-management
Medium confidenceStores authentication credentials (cookies, tokens) exclusively in ~/.agent-reach/config.yaml with 0o600 file permissions (read/write for owner only). Provides a configure command that guides users through exporting browser cookies and setting up platform-specific credentials. Credentials are never sent to external services and remain on the local machine, enabling authenticated access to platforms like Twitter, Instagram, and XiaoHongShu without exposing secrets.
Implements credential locality as a first-class design principle — all authentication data stays on the user's machine in a single YAML file with restrictive file permissions, rather than being sent to a cloud service or third-party API. This is explicitly documented as part of the design philosophy, not an afterthought.
Avoids the security risk of cloud-based credential storage or API key exposure by keeping all cookies and tokens local with 0o600 permissions, making it suitable for teams with strict data residency or security policies.
tiered-channel-setup-with-zero-config-to-mcp-service-progression
Medium confidenceClassifies all supported platforms into three setup tiers: (0) zero-config platforms that work immediately after installation (Jina Reader for any URL, yt-dlp for YouTube, feedparser for RSS, gh CLI for public GitHub), (1) platforms requiring credentials (Twitter with bird CLI + cookies, Instagram with instaloader + cookies), and (2) platforms requiring MCP service setup (Exa search via mcporter). Users can start with tier-0 platforms and progressively add tier-1 and tier-2 capabilities by configuring credentials or deploying MCP services.
Explicitly structures platform support into three tiers (zero-config, credentials-required, MCP-service-required) as a documented design principle, allowing users to start immediately with tier-0 and progressively add capabilities. This is a deliberate scaffolding decision, not an accidental consequence of platform heterogeneity.
Enables immediate value (tier-0 platforms work out-of-the-box) while supporting advanced use cases (tier-2 MCP services), avoiding the all-or-nothing setup friction of tools that require full configuration before any platform works.
twitter-search-and-read-via-bird-cli-with-cookie-auth
Medium confidenceImplements Twitter/X access through the bird CLI tool, which uses browser-like HTTP requests with exported cookies to bypass Twitter's API restrictions. The Twitter channel accepts URLs (tweets, profiles, threads) and search queries, translates them to bird CLI commands, parses the output (JSON or HTML), and returns normalized markdown. Supports both public tweets (no auth) and private/authenticated content (with cookies), enabling agents to read timelines, search tweets, and extract thread conversations without Twitter API access.
Uses bird CLI (a community-maintained tool) instead of Twitter's official API, leveraging cookie-based authentication to bypass API rate limits and cost. This approach treats Twitter as a web platform to be scraped rather than an API to be consumed, enabling zero-cost access at the cost of fragility to Twitter's HTML/JSON format changes.
Provides free Twitter search and read access without API keys or rate limit quotas, unlike the official Twitter API which requires paid tiers for search access; however, it's more fragile to Twitter's format changes and requires manual cookie refresh.
youtube-and-bilibili-transcript-and-metadata-extraction
Medium confidenceExtracts video transcripts, metadata, and content from YouTube and Bilibili using yt-dlp (a maintained fork of youtube-dl). Accepts video URLs and returns structured output including transcript text, video title, duration, channel name, and upload date. For YouTube, transcripts are extracted from auto-generated or user-provided captions; for Bilibili, transcripts are extracted from available subtitle tracks. Enables agents to analyze video content without watching the full video.
Leverages yt-dlp (a community-maintained, actively-updated fork of youtube-dl) to extract transcripts and metadata from both Western (YouTube) and Chinese (Bilibili) video platforms through a unified interface, avoiding the need for separate tools or APIs for each platform.
Provides free transcript extraction without YouTube API keys or Bilibili authentication, using a single tool (yt-dlp) that works across both platforms; however, it depends on caption availability and is fragile to platform website structure changes.
github-repository-search-and-code-reading
Medium confidenceSearches GitHub repositories and reads code files using the gh CLI (GitHub's official command-line tool). Accepts repository URLs, file paths, and search queries; translates them to gh CLI commands; and returns code content, repository metadata, and search results. Supports both public repositories (no authentication) and private repositories (with GitHub token). Enables agents to explore codebases, find relevant files, and extract code snippets without cloning repositories.
Uses the official gh CLI tool to provide authenticated GitHub access without requiring a personal API token to be stored in Agent-Reach config — credentials are managed by gh CLI itself, reducing credential management complexity. Supports both public and private repositories through the same interface.
Provides free GitHub repository search and code reading without API rate limits (gh CLI uses GitHub's web interface), unlike the GitHub API which has strict rate limits; however, it lacks full-text code search which requires GitHub's paid search API.
reddit-post-and-comment-reading-with-search
Medium confidenceReads Reddit posts, comments, and threads using web scraping (via Jina Reader or direct HTTP requests). Accepts Reddit URLs (posts, subreddits, user profiles) and search queries; fetches content; and returns normalized markdown with post text, comments, upvotes, and metadata. Supports both popular posts and niche subreddits without requiring Reddit API credentials, enabling agents to analyze discussions and community sentiment.
Implements Reddit access through web scraping (Jina Reader or direct HTTP) rather than the official Reddit API, avoiding API rate limits and authentication requirements. This approach treats Reddit as a web platform rather than an API, enabling zero-cost access at the cost of fragility to Reddit's HTML structure changes.
Provides free Reddit post and comment reading without API credentials or rate limits, unlike the official Reddit API which requires OAuth authentication and has strict rate limits; however, it's fragile to Reddit's HTML changes and may violate terms of service.
rss-and-atom-feed-parsing-and-content-extraction
Medium confidenceParses RSS and Atom feeds using the feedparser library, extracting article titles, summaries, publication dates, and author information. Accepts feed URLs and returns normalized JSON or markdown with feed metadata and article listings. Enables agents to monitor news sources, blogs, and content feeds without platform-specific integrations, providing a unified interface for feed-based content discovery.
Implements RSS/Atom parsing as a zero-config channel using the feedparser library, requiring no authentication or API keys. This is one of the tier-0 platforms that works immediately after installation, making it the simplest way to add feed monitoring to an AI agent.
Provides zero-cost feed parsing without API keys or authentication, using a standard library (feedparser) that handles malformed feeds gracefully; however, it only extracts summaries, not full article text, requiring separate read() calls for full content.
xiaohongshu-content-reading-and-search
Medium confidenceReads XiaoHongShu (Little Red Book) posts and searches the platform using web scraping with cookie-based authentication. Accepts XiaoHongShu URLs (posts, user profiles) and search queries; fetches content; and returns normalized markdown with post text, images, comments, and metadata. Enables agents to analyze Chinese social commerce content and community discussions without XiaoHongShu API access.
Provides access to XiaoHongShu (a major Chinese social commerce platform) through web scraping with cookie authentication, filling a gap for teams analyzing Chinese market trends. This is one of the few tools that supports XiaoHongShu at all, as the platform has no official API.
Enables XiaoHongShu content analysis without official API access (which doesn't exist), using cookie-based scraping; however, it's highly fragile to XiaoHongShu's anti-scraping measures and requires frequent cookie refresh.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI agents (Claude Code, Cursor, OpenClaw, Windsurf) that need internet access
- ✓developers building agent infrastructure without per-platform API key management
- ✓teams migrating from platform-specific scrapers to a unified interface
- ✓AI agents performing multi-platform research tasks
- ✓developers building search-augmented LLM applications without API budgets
- ✓teams needing cross-platform content discovery for specific topics
- ✓teams analyzing Chinese social media trends and sentiment
- ✓AI agents performing market research in Chinese markets
Known Limitations
- ⚠URL dispatch uses linear iteration through ALL_CHANNELS registry until first match — O(n) complexity, not optimized for 50+ platforms
- ⚠No built-in caching of parsed content — each read() call re-fetches from source
- ⚠Platform-specific rate limits are not aggregated or managed centrally; each channel handles its own limits
- ⚠Normalized output format varies by channel (some return markdown, some JSON) — no guaranteed schema
- ⚠Search result pagination is not standardized across platforms — some return 10 results, others 50, no unified limit parameter
- ⚠Twitter search requires bird CLI with valid cookies; without authentication, search is limited to public tweets only
Requirements
Input / Output
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Repository Details
Last commit: Apr 13, 2026
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Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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