"Information about MCP for Jira" matching MCP servers:

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Generate and edit images with GPT Image 2.5 for $0.029 each, inside Claude, Cursor or any MCP client. A free you.bot API key comes with 50 credits (about 17 images) and needs no card.

Industry 4.0 / IIoT AI agents for manufacturing: explain OEE losses per shift, triage machine alarms, find downtime root causes, prepare predictive-maintenance jobs and write shift reports from Unified Namespace (UNS), MQTT or historian data. Plus an industrial AI-readiness diagnostic and a vendor-neutral digital-transformation advisor. Works in Claude Code, Codex and any MCP client.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

Enables AI assistants to rewrite AI-styled English prose into more natural human writing, with tools for humanizing text and retrieving information about the underlying model.

Lets MCP clients ask typed questions — yes/no, choice, or score — about structured state, including images, and receive calibrated probabilities from System One decision models such as TypeSafe Jev and Cloudflare Clef. Supports TypeSafe, OpenRouter, and local providers selectable per request, with input validation and cost reporting.

Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.

Provides AI agents with structured knowledge about 67+ generative AI models, including model recommendations, prompt formatting, parameter guidance, and validation. It acts as a prompt engineering co-pilot that helps agents use their existing tools more effectively.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

Enables startup protection checks directly from your editor, analyzing clone risk, defensibility, and patentable features in about 2 minutes.

A read-only MCP server that exposes Tiramisu AI's product information, pricing, and official links to MCP-compatible AI clients.

Provides intelligent web search capabilities using OpenAI's reasoning models, enabling AI assistants to fetch up-to-date information with smart reasoning.

Enables LLMs to search, browse, and retrieve detailed information on 6,500+ AI applications from the HyperStore catalog.

NocturnusAI sits between your agent and the LLM. It extracts facts, reasons about what's relevant, and returns only what changed optimizing your token usage, saving you costs.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Enables coding agents to request calibrated probability judgments over typed questions—yes/no, named choices, or ordered scores—about a described situation, returning one probability per option rather than free text. Runs Cloudflare's Clef model locally on Apple Silicon Macs, with images or video frames optionally attached, and answers delivered as a single MCP tool call.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

The Ritwik Joshi Personal MCP Server is a standardized Model Context Protocol (MCP) data source designed to give AI agents direct, authoritative tool access to his professional profile. It features eight tools that enable AI assistants to fetch real-time information regarding his speaker profile, keynotes, TEDx talks, blog articles, and booking details without relying on outdated data.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

Enables MCP clients like Claude Code, Claude Desktop and Cursor to search a StarCraft II knowledge base, upload replays, and get AI Coach reports on games. Users can also ask follow-up questions about a coached replay, with mineral costs gated behind explicit confirmation.

Enables coding agents to ask typed yes/no, choice, score, and bounding-box questions about code, diffs, logs, and screenshots, returning structured decisions with calibrated confidence, caching, and cost controls.

Provides AI clients with access to FlowMusicAI's pricing, documentation, and FAQ, enabling them to answer questions about the AI music generator.

Provides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.

Enables management of TestMu AI test projects, test cases, test runs, and integration with Jira, HyperExecute, and AI insights through natural language.

MCP server that fetches web pages and uses local Qwen models to answer questions about their content, with site-scoped search and map-reduce chunking for long pages.

A real-time news and hot spot aggregation server that monitors multiple platforms like Weibo, Zhihu, and Bilibili. It enables AI assistants to fetch, filter, and analyze trending topics through the Model Context Protocol for personalized information tracking.