| name | agent-reach |
| description | Universal internet scraper for AI agents. Read and search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, LinkedIn, V2EX, RSS, web pages. Zero API fees. Use when agents need real-time social media data, content research, or trend monitoring. |
| domain | mcp |
| author | oyi77 |
| license | Apache-2.0 |
| subdomain | mcp |
| tags | ["agent","ai-agent","api","github","mcp-server","model-context-protocol","monitoring","reach"] |
| version | 1.0.0 |
Agent Reach
When to Use
Trigger phrases:
-
"agent reach"
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"Scrape Twitter tweets, threads, search results without API keys"
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"Read Reddit posts, comments, subreddit feeds"
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"Get YouTube video transcripts and metadata"
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Scrape Twitter tweets, threads, search results without API keys
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Read Reddit posts, comments, subreddit feeds
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Get YouTube video transcripts and metadata
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Scrape XiaoHongShu (Little Red Book) posts
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Monitor Bilibili video content
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Search across platforms for competitive intelligence
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Gather social proof and sentiment data
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Research trending content for viral creation
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When NOT to use: When you already have API access (use native tools), when the platform blocks scraping ethically, when data doesn't need real-time freshness
When NOT to Use
- When a simpler HTTP client would suffice
- For internal tools that do not need cross-platform compatibility
- When the tool is used by a single agent in a single context
Overview
Agent Reach implements a Model Context Protocol server for Model Context Protocol.
Architecture
- Server — MCP-compliant server exposing tools and resources
- Transport — stdio or HTTP transport layer
- Tools — Callable functions with JSON Schema definitions
- Resources — Readable data sources with URI-based access
Setup
- Install the MCP server package
- Configure environment variables and credentials
- Register the server in MCP client configuration
- Test tool invocations and resource access
Configuration
- Server name and version
- Transport type (stdio, SSE, HTTP)
- Tool definitions with input/output schemas
- Resource URI patterns
- Authentication and rate limiting
Integration
- Compatible with Claude, Cursor, and other MCP clients
- Supports streaming responses for large payloads
- Handles errors with standard MCP error codes
Anti-Rationalization Table
| Rationalization | Reality |
|---|
| "I will just use curl" | MCP handles auth, retries, streaming, and type safety. Use the SDK. |
| "One mega-server is simpler" | Single-responsibility servers are easier to debug and maintain. |
| "MCP is just a wrapper" | MCP enables cross-platform tool sharing. It is infrastructure, not overhead. |
import { McpServer } from "@modelcontextprotocol/sdk";
const server = new McpServer({ name: "my-tools", version: "1.0.0" });
server.tool("search", { query: z.string() }, async ({ query }) => {
const results = await search(query);
return { content: [{ type: "text", text: JSON.stringify(results) }] };
});
Process
- Prepare — Gather requirements, verify prerequisites, set up environment
- Execute — Run agent reach workflow with configured parameters
- Verify — Validate output meets requirements, document results
Verification
