io.github.bch1212/modelwatch
Continuous behavioral drift monitoring for LLM apps — catches silent provider model updates.
Serveur MCP · par bch1212
Aperçu
io.github.bch1212/modelwatch est un serveur MCP publié par bch1212. 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 : 1
- Paramètres : 2
Demande: MODELWATCH_API_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 npm
Construit à partir de ce que déclare Official MCP Registry.
claude mcp add --env "MODELWATCH_API_KEY=<YOUR_MODELWATCH_API_KEY>" --transport stdio modelwatch -- npx -y modelwatch-mcp
[mcp_servers.modelwatch]
command = "npx"
args = ["-y", "modelwatch-mcp"]
[mcp_servers.modelwatch.env]
MODELWATCH_API_KEY = "<YOUR_MODELWATCH_API_KEY>"
{
"mcpServers": {
"modelwatch": {
"command": "npx",
"args": [
"-y",
"modelwatch-mcp"
],
"env": {
"MODELWATCH_API_KEY": "<YOUR_MODELWATCH_API_KEY>"
}
}
}
}
Remplacez les valeurs entre chevrons par les vôtres. Nous montrons les noms des paramètres, jamais de valeurs.
Paramètres facultatifs qu’il indique aussi : MODELWATCH_API_BASE.
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 | 0.1.3 | 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.
-
apidrift com.edgethirteen.www/apidrift
Alerts on breaking changes, deprecations, and pricing shifts across major LLM provider APIs.
-
Governed local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.
-
llm-output-quality-monitor io.github.lazymac2x/llm-output-quality-monitor
Cloudflare Workers MCP server: llm-output-quality-monitor
-
noveum ai.noveum/noveum
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
-
synapse-audit io.github.digidenone/synapse-audit
AI-Powered Security Scanner for LLMs. Detects vulnerabilities and syncs with SynapseAudit.
-
llmtest-mcp io.github.tjacquesson/llmtest-mcp
Benchmark AI models on real prompts. Find cheaper, faster alternatives across 340+ models.
-
llmintel ai.llmintel/llmintel
Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.
-
MCP server for ML drift detection, MLflow registry diffing, and HMAC-gated model rollback
-
mcp-server io.github.arkheiaai/mcp-server
Detect fabrication and hallucination in any LLM output. 30+ models supported.
-
pramana-mcp io.github.loopg/pramana-mcp
Read your recorded AI agent runs, and what changed when you swapped a model or prompt.
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)
-
Synthetic monitoring for LLM inference endpoints. Probe TTFT, latency, throughput, and errors across OpenAI, Anthropic, Google, Azure, Bedrock, and any OpenAI-compatible server.
-
Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
-
Multi-LLM orchestration MCP server. Delegate tasks to Claude Code, Codex, and Gemini CLIs with session management, retry logic, async job orchestration, and token optimization.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
Référencé sur Claude Code: claude-plugins-official (5)
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
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…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
Référencé sur Community GitHub marketplaces (5)
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Dash0 Observability
OpenTelemetry observability for OpenAI Codex sessions. Captures prompts, tool calls, MCP calls, sub-agent activity, and token usage as OTel traces.
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
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.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing…
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations…
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Advanced Security plugin for GitHub Copilot.
-
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…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
Référencé sur Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
Référencé sur Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
A universal MCP (Model Context Protocol) server to integrate any API with Claude Desktop using only Docker configurations.
Référencé sur Official MCP Registry (5)
-
apidrift com.edgethirteen.www/apidrift
Alerts on breaking changes, deprecations, and pricing shifts across major LLM provider APIs.
-
Governed local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.
-
llm-output-quality-monitor io.github.lazymac2x/llm-output-quality-monitor
Cloudflare Workers MCP server: llm-output-quality-monitor
-
noveum ai.noveum/noveum
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
-
synapse-audit io.github.digidenone/synapse-audit
AI-Powered Security Scanner for LLMs. Detects vulnerabilities and syncs with SynapseAudit.
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.