MCP Server for the Jina.ai Reader API

Created By
ASRagaba year ago
Model Context Protocol (MCP) Server for the Jina.ai Reader API
Overview

what is MCP Server for the Jina.ai Reader API?

The MCP Server for the Jina.ai Reader API is a server implementation that facilitates the use of the Model Context Protocol (MCP) for interacting with the Jina.ai Reader API, enabling efficient data processing and retrieval.

how to use MCP Server?

To use the MCP Server, follow the full walkthrough provided in the documentation, which guides you through the setup and integration with the Jina.ai Reader API.

key features of MCP Server?

  • Implements the Model Context Protocol for seamless API interaction
  • Supports efficient data processing and retrieval
  • Easy integration with Jina.ai services

use cases of MCP Server?

  1. Building applications that require advanced data retrieval capabilities.
  2. Integrating with Jina.ai for enhanced AI-driven data processing.
  3. Developing custom solutions that leverage the Model Context Protocol.

FAQ from MCP Server?

  • What is the Model Context Protocol?

The Model Context Protocol is a framework that standardizes the way models interact with data, enabling more efficient processing and retrieval.

  • Is the MCP Server open-source?

Yes! The MCP Server is open-source and available on GitHub.

  • Where can I find the documentation?

The documentation and full walkthrough can be found at the provided GitHub link.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
ASRagab
Star
-
Language
-
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago