jinaju

jinaju

A drop-in MCP server compatible with Jina AI, using a stealth Chromium browser with CapSolver captcha solving for web scraping and reading, with fallback to Jina's MCP proxy.

Category
Visit Server

README

jinaju

A drop-in MCP server compatible with the Jina AI MCP server, backed by a stealth Chromium (cloakbrowser) + CapSolver extension, with ordered fallback to a pure MCP proxy of Jina.

jinaju exposes the same 21 tools as the Jina MCP server with identical JSON-RPC shapes, so an MCP client configured against mcp.jina.ai/v1 can point at jinaju with zero changes. The difference is the backend: by default the cloak-primary tools (read_url, parallel_read_url, capture_screenshot_url) are served by a real headless Chromium that renders the page and auto-solves captchas via CapSolver, falling back to the Jina MCP proxy if the cloak path fails.

Install

npm install -g jinaju

For development:

git clone https://github.com/xdqi/jinaju.git
cd jinaju
npm install
npm run build

cloakbrowser resolves its stealth Chromium from ~/.cloakbrowser (downloaded on first launch if missing). The CapSolver extension is fetched from its GitHub release on first launch.

Configure

Create jinaju.config.jsonc (gitignored — it holds tokens) at the project root. The full schema is at docs/superpowers/specs/jinaju.config.schema.json. Key fields:

{
  "server":    { "host": "127.0.0.1", "port": 9334 },
  "auth":      { "bearerTokens": [], "stdioClientId": "stdio" },
  "jina":      { "mcpUrl": "https://mcp.jina.ai/v1", "token": "jina_..." },
  "capsolver": { "token": "CAP-...", "extDir": "./vendor/capsolver-ext", "solveTimeoutMs": 15000 },
  "browser": {
    "chromePath":   null,
    "userDataDir":  "./.browser-profile",
    "headless":     true,
    "stealthArgs":  true,
    "licenseKey":   null,
    "maxParallel":  5
  },
  "tools": {
    "read_url":               { "backend": ["cloak", "jina"] },
    "parallel_read_url":      { "backend": ["cloak", "jina"] },
    "capture_screenshot_url": { "backend": ["cloak", "jina"] },
    "extract_pdf":            { "backend": ["jina"] }
  }
}
  • auth.bearerTokens: empty list → a jinaju_<32> token is generated at startup and printed to stderr once. Configure a list to pin tokens (supports multiple clients / revocation).
  • jina.token: your Jina API key.
  • capsolver.token: your CapSolver API key (injected into the extension's assets/config.js at startup — no manual extension setup).
  • browser.chromePath: null → use the cloakbrowser-resolved Chromium; set a path to override.
  • tools.<name>.backend: ordered backend list. ["cloak", "jina"] = try cloak, fall back to jina on failure. ["jina"] = jina only. Missing tools default to ["jina"].
  • show_api_key is not configurable here — it always returns the caller's own token (http: the bearer; stdio: stdioClientId).

This version does not read environment variables; all values come from the config file.

Run

jinaju                              # http mode (default subcommand)
jinaju http                         # explicit http mode — Streamable HTTP + SSE on :9334/mcp
jinaju stdio                        # stdio mode — auth-free, local process
jinaju --config /path/to.jsonc http # explicit config + http mode

Transports

  • http (jinaju http): stateless Streamable HTTP at POST /mcp, bearer-token auth. Mirrors mcp.jina.ai/v1 — an MCP client pointed at Jina can switch to http://<host>:<port>/mcp with the jinaju bearer token. Also serves GET /s/<id>.jpg for capture_screenshot_url's return_url: true option (in-memory image host).
  • stdio (jinaju stdio): stdin/stdout JSON-RPC, auth-free (local process trust). capture_screenshot_url with return_url: true returns file:// paths to a temp dir.

Both transports expose the same 21 tools with identical schemas to Jina. The browser launches only if a configured tool uses cloak; a pure-jina config (e.g. tools: {}) skips the browser and CapSolver provisioning entirely.

Fallback semantics

Each tool's backend list is tried in order. A cloak attempt is considered failed (and falls through to the next backend) when:

  • the browser hard-fails (crash, navigation timeout, 4xx/5xx, DNS), or
  • CapSolver does not clear a captcha within capsolver.solveTimeoutMs, or
  • an uncaught exception occurs.

Content-quality is not compared — if cloak produces a valid result, it's used even if Jina's would be better (no double-fetch). Search/embedding/reranker tools (search_web, classify_text, deduplicate_*, sort_by_relevance, etc.) are jina-only by default (cloak has no equivalent).

Architecture

client ──http/stdio──▶ MCP Server (SDK)
                         │
                         ▼
                      ToolRouter ── per-tool ordered backend list
                         │
              ┌──────────┴──────────┐
              ▼                      ▼
        CloakBackend            JinaBackend
        (cloakbrowser +         (pure MCP-to-MCP proxy
         CapSolver ext)          to mcp.jina.ai/v1)

See docs/superpowers/specs/2026-07-04-jinaju-mcp-design.md for the full design and docs/superpowers/plans/2026-07-04-jinaju-mcp.md for the implementation plan.

Development

npm run typecheck   # tsc -p tsconfig.test.json (typechecks src + tests)
npm test            # builds, then runs vitest (83 tests, incl. real-browser integration + e2e)

Tests include real-browser integration (cloakbrowser + CapSolver against example.com) and end-to-end http/stdio transport tests (against a stub jina to stay offline).

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured