Enables AI agents to read and retrieve the latest posts from Jibun and Ech0 instances. It allows users to list configured sources and fetch content with support for pagination and source selection.
Jina Reader MCP Server
MCP Server using Jira Client v2 to handle Jira Issues
A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.
An MCP server for Jira that enables comprehensive issue management, sprint operations, comments, attachments, and batch processing with localization and flexible date support.
An MCP server for interacting with self-hosted Jira instances using Personal Access Token (PAT) authentication. It enables users to perform CRUD operations on issues, search with JQL, manage comments, and list projects through the Jira REST API.
Enables comprehensive interaction with JIRA through the Model Context Protocol, supporting issue management, search, comments, attachments, workflow transitions, and custom fields with enterprise Kerberos authentication.
MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.
Enables AI to directly control SEGGER J-Link embedded debug probes via the Model Context Protocol for debugging and firmware management. Users can perform tasks like reading registers, analyzing memory, flashing firmware, and tracking RTT logs using natural language commands.
A zero-configuration job aggregation server that enables searching for positions and retrieving details across multiple recruitment platforms using natural language. It provides standardized data for job requirements, salary comparisons, and market trends directly within AI clients.
Helps users find suitable LinkedIn job opportunities by automatically scraping listings, analyzing compatibility with user profiles using AI, and sending custom match reports via email.
Enables AI agents to scrape job offers and filter them based on user-defined criteria, using MCP resources, prompts, and tools.
An AI-powered job recommender built on the Model Context Protocol that provides personalized career suggestions through resume and skills matching. It utilizes LLMs and external tool integrations to help users find relevant job openings based on their professional profile.
An MCP server that enables searching for jobs across Australian platforms (Seek and LinkedIn) from Claude or any MCP-compatible client, with filters for location, salary, employment type, and more.
Enables AI clients to interact with Joplin notes through the Web Clipper API. Supports searching, reading, creating, deleting, and organizing notes and notebooks, plus scanning for uncompleted todo items.
The MCP server transforms chats with Claude into journaling sessions, saving conversations locally and allowing the LLM to retrieve previous sessions to create continuity in discussions about daily activities.
A JSON-based database MCP server with JWT authentication that enables user management, project tracking, department analysis, meeting management, and equipment tracking. Integrates with Claude Desktop to provide secure CRUD operations and analytics through natural language commands.
Enables AI to create, edit, and batch generate JSON data with advanced rule engines. Supports CRUD operations, node-level editing, template management, and multi-format file exports (JSON, JSONL, CSV).
Enables repair of malformed JSON strings into valid JSON for agent workflows by fixing common LLM formatting issues. Supports cleanup of code fences, smart quotes, unquoted keys, trailing commas, and missing brackets to ensure reliable data parsing.
A token-efficient, schema-aware MCP server that enables AI assistants to safely read, modify, query, and validate JSON, YAML, and TOML files with automatic schema detection and format conversion capabilities.

