"Accessing Jira Tickets and Updating Their State" matching MCP servers:

Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.

Enables persistent storage and retrieval of Tree of Thought search states in PostgreSQL, allowing the travel agent to maintain reasoning context across multi-turn itinerary optimization.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

Provides structured dealer brand data including inventory, promotions, reviews, and dealer profile via MCP tools, enabling LLMs to answer accurate brand-related queries.

A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.

Enables local, provenance-aware literature search and retrieval for X-ray binary research, with tools for querying papers, fetching paper details, and accessing source information.

A Model Context Protocol server that enables AI assistants like Claude to interact with Zulip workspaces, supporting capabilities such as posting messages, listing channels, sending direct messages, and accessing conversation history.

It allows AI agents to perform hybrid searches across historical issue tracker data (JIRA and MantisBT) to discover past problems and their corresponding resolutions. This capability helps automate the discovery of suitable precedents for new support inquiries.

Enables MCP-compatible AI clients to connect to a self-hosted DeepTutor instance for accessing learning data, study tools, practice workflows, knowledge retrieval, and learning-state management.

Powerful Model Context Protocol server for managing Typebot chatbots, enabling operations like authentication, creating, updating, listing, and publishing bots through a standardized JSON interface.

Enables semantic search over knowledge-base articles and listing of sample support tickets using MCP tools.

A server that connects MCP clients (Claude, Cursor, Windsurf, etc.) to EventCatalog instances, allowing users to ask questions about their event-driven architecture and get insights about domains, services, and message schemas directly within their development tools.

A lightweight, local RAG memory store for MCP agents that enables recording, retrieval, updating, and visualization of persistent memories across runs.

Enables AI assistants to search internal knowledge bases, create Confluence articles, file Jira tickets, and look up Okta users, with guardrails and streaming support.

Enables LLM agents to handle e-commerce customer support by searching a product catalog and FAQ knowledge base with hybrid retrieval, plus managing orders, carts, returns, shipment tracking, and human escalation through support tickets.

A self-hosted knowledge engine that enables Claude Code to fetch, analyze, and store structured lessons learned from support tickets/issues via MCP tools, leveraging hybrid search for relevant prior cases.

An MCP server that fetches, dedupes, and scores women's-health & FemTech research and industry news, designed to feed GitHub Agentic Workflows and an auto-updating Astro + RSS site.

Enables agents to pull compact MySQL row diffs into their context, supporting before/after changes via triggers or watermark-based updates, with tools to fetch and acknowledge changes.

Provides AI clients with a persistent, readable and writable long-term memory layer over MCP, enabling creation, retrieval, tagging, updating, and deletion of memories across sessions.

Enables brands to answer customer questions inside Alexa+ using only their own help-centre articles, with cited spoken answers and on-screen guided walkthroughs that point at exactly where to tap in their app. Unanswered questions become per-customer tickets that are re-checked and auto-resolved when new documentation is published, while staff receive reports on doc gaps.

Lets AI coding agents query a local, private document library on their own — searching passages and figures, opening a passage with its surrounding text, listing indexed documents, and stepping through canvas places — with results tied back to their cited sources.

Enables AI assistants to search current publishing-office stylesheets and approved tickets, draft ticket answers, and, with explicit confirmation, raise tickets under the signed-in user’s OAuth permissions.

Enables AI agents to save, search, and manage local Chinese semantic memories on demand, with support for updating, merging, and Obsidian-style linking.

This advanced memory server facilitates neural memory-based sequence learning and prediction, enhancing code generation and understanding through state maintenance and manifold optimization as inspired by Google Research's framework.

Enables agents to persistently record experiences, recall related episodes, run VRS convergence, and manage bounded world-state through MCP tools.

An MCP server that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Exposes a support-ticket inbox as tools an AI client can use to list, inspect, triage, and update tickets, including LLM-based category, priority, and sentiment classification with a drafted first response informed by similar past tickets. It works with a mocked dataset styled after a home-loan partner-support inbox, with the tool interface designed so a real ticket source could be swapped in later.

Provides LLM-free search tools across Confluence, JIRA, code, and project knowledge for any MCP client.