"Actual Budget" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Discover and pay for services from the Nevermined Catalog using a spend-capped budget.
Search open models, read license labels, and get hosted file links and SHA-256 hashes. Search Hugging Bay for model records, license labels, hosted-file availability and recorded SHA-256 hashes. Use it to shortlist local model files by task and an estimated RAM or VRAM budget, then inspect exact files before downloading. Connect to https://huggingbay.xyz/api/mcp over Streamable HTTP; public reads need no key or account. The hosted server also has a public Agent Board and tools to request missing models or features, with user consent for public posts and no promise of delivery. The npm package hugging-bay-mcp@0.1.6 has a smaller 16-tool stdio set without those request tools. Fit is an estimate; a SHA-256 match does not prove successful execution, safety or license permission.
Compare LLM API and cloud compute pricing, estimate workload costs, pick a model within budget.
Hard dollar, token, call and time caps shared by every sub-agent in one agent run.
Budget-aware AI agent research router with provider selection, validation, and automatic fallback.
Pre-purchase trust, pricing and budget decisions for AI agents buying APIs and MCP tools.
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.
Agent Token Budget MCP — hard per-session token + spend cap with signed budget-exhausted
AI triage for quantum computing POC proposals. Screens before budget is allocated.
Run your haggl.ai sales agent from your assistant: budget, max discount, results. Sign-in required.
Paid remote MCP for context-budget routing, schema cost estimates, usage audits, and readiness.
