ConvergeQA Compare (Due Diligence)
Compare one prompt across a multi-model panel side by side, with public verification receipts.
Serveur MCP · par convergeqa
Aperçu
ConvergeQA Compare (Due Diligence) est un serveur MCP publié par convergeqa. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-10-11 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-13.
Ce qu'il demande
- S'exécute sur votre machine
- Secrets : 2
- Paramètres : 2
Demande: CONVERGEQA_API_KEY (secrète), CONVERGEQA_SERVICE_ACCOUNT_KEY (secrète)
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En serveur MCP local : paquet PyPI
Construit à partir de ce que déclare Official MCP Registry.
claude mcp add --env "CONVERGEQA_API_KEY=<YOUR_CONVERGEQA_API_KEY>" --env "CONVERGEQA_SERVICE_ACCOUNT_KEY=<YOUR_CONVERGEQA_SERVICE_ACCOUNT_KEY>" --transport stdio compare -- uvx convergeqa-mcp compare[mcp_servers.compare]
command = "uvx"
args = ["convergeqa-mcp", "compare"]
[mcp_servers.compare.env]
CONVERGEQA_API_KEY = "<YOUR_CONVERGEQA_API_KEY>"
CONVERGEQA_SERVICE_ACCOUNT_KEY = "<YOUR_CONVERGEQA_SERVICE_ACCOUNT_KEY>"{
"mcpServers": {
"compare": {
"command": "uvx",
"args": [
"convergeqa-mcp",
"compare"
],
"env": {
"CONVERGEQA_API_KEY": "<YOUR_CONVERGEQA_API_KEY>",
"CONVERGEQA_SERVICE_ACCOUNT_KEY": "<YOUR_CONVERGEQA_SERVICE_ACCOUNT_KEY>"
}
}
}
}Remplacez les valeurs entre chevrons par les vôtres. Nous montrons les noms des paramètres, jamais de valeurs.
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Official MCP Registry (Ouvrir la fiche du registre) | Référencé | 0.2.0 | Forks (GitHub): 0 Étoiles (GitHub): 0 |
Non marqué | |
| Official MCP Registry (Ouvrir la fiche du registre) | Référencé | 0.2.0 | Forks (GitHub): 0 Étoiles (GitHub): 0 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Ce qui a changé
Rien n'a bougé sur ce plugin depuis que nous le suivons.
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
Break through difficult problems by gathering diverse AI perspectives in parallel. Consensus queries multiple AI providers concurrently — GPT-5.2, Gemini 3.1 Pro, and DeepSeek…
-
Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.
-
Gonka Second Opinion (multi-model)
A second opinion for AI agents: one prompt across several live Gonka models + roles, one call.
-
Score two AI outputs, get exact failure reasons, and issue a $0.01 USDC receipt via x402.
-
Multi-model deliberation over MCP: full responses plus typed cross-model reactions from other labs.
-
The Aggregate — LLM benchmark aggregate
LLM rankings from public benchmarks, model comparisons and source-linked results. Updated daily.
-
llm-advisor io.github.Daichi-Kudo/llm-advisor
Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.
-
Ask GPT, Claude, Gemini and Grok at once: one consensus answer plus where they agree and split.
-
rival io.github.nuance-dev/rival
Query AI model benchmarks, pricing, and comparisons from rival.tips
-
AI predictions, model comparison, research briefs and web search from an autonomous AI
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Break through difficult problems by gathering diverse AI perspectives in parallel. Consensus queries multiple AI providers concurrently — GPT-5.2, Gemini 3.1 Pro, and DeepSeek…
-
Multi-model deliberation over MCP: full responses plus typed cross-model reactions from other labs.
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
-
Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
-
Multi-LLM orchestration for Claude Code and Cowork. Coordinates 8 AI providers (Codex, Gemini, Claude, Perplexity, OpenRouter, Copilot, Qwen, Ollama) through structured Double…
Référencé sur Claude Code: claude-plugins-official (5)
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Référencé sur Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Financial analysis skills powered by Daloopa's institutional-grade data
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Answer product and business questions with data
-
Public equity investing workflows for listed-company research, earnings analysis, valuation, model updates, long/short pitches, catalysts, thesis tracking, ETF/index and…
Référencé sur Community GitHub marketplaces (5)
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Accurate API model IDs, pricing, and specs for 46 models across 7 AI providers.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Endor Labs AI Plugins (Legacy)
Legacy Claude Code plugin id for Endor Labs Agent Kit workflows.
-
agents-party io.github.1gr14/agents-party
One encrypted channel where Claude Code, Cursor, Codex and any other agent talk to each other.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Advanced Security plugin for GitHub Copilot.
Référencé sur Cursor: cursor/plugins (5)
-
Track AI visibility, sentiment, and citations.
-
Search company knowledge and draft verified answers.
-
Enrich people and companies, run AI research agents.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Référencé sur Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Connector for Perplexity API, to enable real-time, web-wide research.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Analyze documents, images, videos, and audio.
Référencé sur Official MCP Registry (5)
-
Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.
-
Gonka Second Opinion (multi-model)
A second opinion for AI agents: one prompt across several live Gonka models + roles, one call.
-
Score two AI outputs, get exact failure reasons, and issue a $0.01 USDC receipt via x402.
-
Multi-model deliberation over MCP: full responses plus typed cross-model reactions from other labs.
-
The Aggregate — LLM benchmark aggregate
LLM rankings from public benchmarks, model comparisons and source-linked results. Updated daily.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
C'est votre plugin ?
Ajoutez-le à vos projets et prouvez que vous le maintenez : un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS. Vous recevez des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Official MCP Registry. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.