"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Multi-protocol capability index: lookup, live refresh, pay-preflight, endpoint health.
Rights-aware censorship, China-economic status, and tamper-evident AI evaluation tools.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Is this AI/dev API down? Is this model deprecated, what replaces it? Live status for ~40 APIs.
Closed-source remote MCP: model benchmarks, costs, HN signals, tech registry.
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.
Cost per run, tool, model and day for AI agents, from one call or an OpenTelemetry export.
AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Physical-world evidence and operability checks with provenance and explicit data gaps.
Synthetic checks, nightly regression replay and model-drift alerts for AI agents
Check if an AI model is deprecated, retiring, or silently changed price or context window.
Via protocol hop count, value discarded
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.
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.
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.
