"Model Context Protocol (MCP) Servers Repository" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Free, no signup: per-app keys, allowed calls, approvals and an audit log for your API or model key.
Vigilia watches your live app, explains every problem in plain language and writes the fix prompt. Your AI fixes it; Vigilia confirms with real traffic. Vigilia watches web apps that are live with real users, including apps built with Lovable, Bolt, v0, Cursor and Claude Code. It catches errors, failed requests and downtime, explains each problem in plain language, and writes a fix prompt for it. Connect Vigilia to Claude and ask what's broken. Claude lists your open incidents worst first. For each one it reads the plain-language diagnosis, who it affects, the technical evidence (error, page, failing request, stack frames and what the visitor did right before) and Vigilia's fix prompt. In Claude Code or another coding agent, Claude can then fix the cause in your own codebase. Once you've deployed, it marks the incident fixed, and Vigilia watches real traffic to confirm the error stayed away. If it comes back, the incident reopens as a regression. You can also ask how an app is doing (uptime, open incidents, today's traffic), get the exact install snippet for a new project, and check that a live site is running Vigilia. Vigilia never reads or changes your code: the fixing happens in your session, by your AI, in front of you. The only tool that changes anything is marking an incident fixed (the install check just records its result on the app), and you can connect with read-only access. Your data is stored in the EU. Emails, tokens and card numbers are stripped from what visitors' browsers send, and only that scrubbed error context is sent to Anthropic to write the diagnosis. Requires a Vigilia account. The free plan covers one app; reporting backend errors (Supabase, Next.js routes, Workers) is part of Pro.
Multi-protocol capability index: lookup, live refresh, pay-preflight, endpoint health.
The Jam MCP server provides AI tools with instant bug context without manual prompting, enabling a streamlined workflow from bug identification to ticket creation and pull request generation without switching between tools.
Rights-aware censorship, China-economic status, and tamper-evident AI evaluation tools.
Closed-source remote MCP: model benchmarks, costs, HN signals, tech registry.
AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.
Is this model or API still safe to call? Retirement and breaking change dates, with the fix.
Is this AI/dev API down? Is this model deprecated, what replaces it? Live status for ~40 APIs.
MCP health (~2k servers) + API status & model deprecations (~40 APIs). One suite for agents.
Real-world Android battery stats from BatterySnap users: device, model and fleet rankings.
Diff and poisoning detection for MCP servers: catch schema drift and prompt poisoning.
Cost per run, tool, model and day for AI agents, from one call or an OpenTelemetry export.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Synthetic checks, nightly regression replay and model-drift alerts for AI agents
Physical-world evidence and operability checks with provenance and explicit data gaps.
Check if an AI model is deprecated, retiring, or silently changed price or context window.
Live LLM API price + status radar across 11 providers, with public per-model price HISTORY.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Via protocol hop count, value discarded
DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.
Nephia is a brand monitoring service, and this is its remote MCP server. Claude, Cursor, ChatGPT or any MCP client can read the mentions your brand gets on 14 sources: X, Reddit (posts and comments), YouTube, TikTok, Bluesky, Hacker News, Mastodon, Lemmy, GitHub, Product Hunt, Stack Overflow, any RSS feed, Vinted, and AI answers from ChatGPT, Gemini and Perplexity. Every mention arrives already read, with its sentiment and intent, so an agent can answer plain questions: which complaints came in since Friday, what Reddit said about us this week. The source is an argument, not a tool, so one call reads every source you watch. Sign-in is OAuth in the browser: no API key to copy. The consent screen has three permissions: read your mentions and Queries, change what is running (pause, resume, retire), and spend credits (semantic search and AI passes), which arrives unticked. Every tool description states its cost, so a model can budget before it spends. The server is on every plan, Free included, and reading your own mentions through it costs nothing.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
StatusNow provides native Model Context Protocol (MCP) access to query website uptime, open ports, security header vulnerabilities, and log traces. Enable your AI assistant to check endpoint health, audit infrastructure security, and trigger alerts—all through a unified, zero-card free tier.
Ask any AI Reserve model, see live pricing, team usage and budget, and manage API keys from Copilot.
