"Information about bug classification" matching MCP servers:

MCP server that triages GitHub issues by classifying, ranking priority, and assigning an engineer using a local LLM (Ollama) with full traceability.

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

MCP server that converts informal issue descriptions into structured, developer-ready bug reports using Groq, with automatic classification into bug, feature request, question, or unclear. Enables agents to generate bug reports directly without the web form.

MCP server that audits Brazilian parliamentary speeches for hate speech and offensive language using a fine-tuned BERTimbau classifier, returning classification, confidence, and human review recommendations.

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.

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 agents to make calibrated decisions via six MCP tools for classification, relevance ranking, claim verification, action gating, next-step control, and model listing, using Jev's System One model without generating text.

Enables MCP clients to get calibrated probability judgments for choice, score, yes/no, and batch classification questions via the TypeSafe System One API.

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.

Lets coding agents such as Claude Code and Codex hand summarising, field extraction, classification and OCR to the free, offline on-device model for Apple Foundation Models on macOS 27. One Rust binary, installed with Homebrew.

Connect AI agents to Jev AI (jev-ai.pro) for classification, scoring, yes/no checks, advisory action assessment, batched typed decisions and saved judges. Returns structured answers and probabilities using your Jev AI API key.

Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.

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.

An MCP server that provides local, private, synchronous access to Ollama models for prompt answering, text classification, and model listing, without any file access or command execution.

MCP server for EU AI Act compliance, providing risk classification of AI features and Article 50 transparency notices.

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.

Runs TypeSafe Jev System One packs locally, enabling agents to perform typed Choice, Noul, and Score judgments for tasks like PR auditing, intent routing, and locale classification.

Enables coding agents to query files, logs, and search results through TypeSafe Jev's typed, probabilistic answers, so they retrieve only the needed conclusion instead of raw context. Supports classification, scoring, yes/no checks, extraction, page ranking, and injection screening.

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

A local MCP server exposing jev_decide for batched classification, rubric scoring, and yes/no judgments with probabilities and token usage. Configure any compatible typed-decision API with API_KEY, BASE_URL, and MODEL.

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 AI agents to perform detailed local image analysis, including pixel-level queries, cropping, grid coordinates, comparisons, and zero-shot classification, all without cloud APIs, keys, or payments.

Enables MCP-compatible agent hosts to interact with TypeSafe AI's Jev System One API through dependency-free STDIO tools for classification, scoring, verification, gating, routing, review, and health checks.

Spam classification MCP server for AI agents that classifies messages as SPAM, SUSPICIOUS, or SAFE based on real Telegram moderation data and multi-layer detection.

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

Crash-test AI agents on real professional decisions. Agents take real tariff classification and patent examination cases, search reference libraries and rulebooks, submit a decision, and get an exact score with a receipt against what the professional actually decided. Most cases were decided after current models were trained.

Occupation classification and job-title normalization for the O*NET-SOC taxonomy. A fine-tuned retrieve-and-rerank model maps job titles, resumes, postings and skill lists to ranked SOC codes with calibrated confidence. 51% top-1 vs 21% TF-IDF. Python, CLI, REST API, MCP server. Runs locally.

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

MCP server for analyzing successful trading bots on Polymarket, enabling discovery of top traders, AI-powered strategy classification, and bot detection.