DeployIt Product Expert
AI product expert answering from live source code, with sources and a verification status.
| Endpoint | https://mcp.deployit.ai/demo (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 3 tools · grade C (74) · pin ts_7250aa320c555e78505732096dea40c8 · protocol 2025-06-18 |
| First / last listed | 2026-10-24 21:21 UTC / 2026-10-24 21:21 UTC |
| Grade over time | 2026-10-24: C (74), 3 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: server_info get_recent_changes ask_product_expert
server_info | Describe this MCP server: which product it answers for, which repositories back it, and how fresh the underlying code index is. Instant (no AI). Call it once at the start of a session to confirm you are talking to the right product — if the index is stale or still building, say so instead of trusting deep answers. params: none |
get_recent_changes | Instant list of recent changes to "deployit" — the semantic changelog derived from its commits. No AI processing: responds in under a second, costs nothing, and never counts against any quota. Use this FIRST for "what changed", "what's new", "since when" questions; escalate to ask_product_expert only when you need an investigated answer. params: days |
ask_product_expert | Ask a question about "deployit" and get an answer verified against its live source code and git history. Use it for anything about product behavior, features, settings, limits, error messages, or recent changes.
HOW IT WORKS AND HOW LONG IT TAKES: the expert genuinely investigates — it searches and reads the product's real source code before answering. A fresh investigation takes 20-60 SECONDS. D params: question*, context, depth |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.