Search / ai.deployit/product-expert
protogridR0· no sign-inAI product expert answering from live source code, with sources and a verification status.
v1.0.0 · active · website · descriptor JSON · versions
{
"mcpServers": {
"product-expert": {
"type": "http",
"url": "https://mcp.deployit.ai/demo"
}
}
}claude mcp add --transport http product-expert https://mcp.deployit.ai/demo[mcp_servers.product-expert]
url = "https://mcp.deployit.ai/demo"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"product-expert": {
"type": "remote",
"url": "https://mcp.deployit.ai/demo",
"enabled": true
}
}
}{
"mcpServers": {
"product-expert": {
"type": "http",
"url": "https://mcp.deployit.ai/demo"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=product-expert&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmRlcGxveWl0LmFpL2RlbW8ifQ%3D%3D"
}{
"servers": {
"product-expert": {
"type": "http",
"url": "https://mcp.deployit.ai/demo"
}
}
}{
"mcpServers": {
"product-expert": {
"httpUrl": "https://mcp.deployit.ai/demo"
}
}
}extensions:
"product-expert":
enabled: true
name: "product-expert"
type: streamable_http
uri: "https://mcp.deployit.ai/demo"
timeout: 300
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_length1 tools have descriptions over 1,024 characters, which crowds the contexttools.schemasevery tool has an object input schematools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky onestools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_recent_changes (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ask_product_expert (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); server_info (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)tools.token_costabout 895 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+dns-namespace +website +reachable +uptime-93% ~updated-50d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://mcp.deployit.ai/demo streamable-http | none | yes | 93% | 516 ms | 2025-11-25 | 2026-10-20 |
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. Do not give up early, and if a human is waiting, tell them the verified answer may take up to a minute. Repeated questions asked without `context` are served from cache in under a second; the cache resets whenever the product's code changes. IF IT TIMES OUT: you get an error saying the expert could not finish in time. The investigation KEEPS RUNNING in the background — re-ask the IDENTICAL question (same wording, no `context`) about a minute later and the finished answer is served instantly from cache. Retry with the same words; rephrasing restarts the investigation. READING THE ANSWER: it ends with a Sources block (the files and commits actually consulted) and a Verification status carrying both confidence and polarity: - verified: confirmed in the code — safe to relay. - backend_only: the capability exists server-side but has no visible UI path. - not_found: searched, and it does NOT exist — a factual "no", relayable as such. - unknown: the expert could not conclude — do NOT relay as fact; consider retrying with depth "thorough". LIMITS: strictly read-only — it can never change anything. Some topics may be refused by the project's policy. A monthly question quota may apply (the error message says so when reached; cached answers never count). At most 60 requests per minute per access key. |
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. |
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. |
Schemas: list_tools.
{
"name": "ai.deployit/product-expert",
"title": "DeployIt Product Expert",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.deployit.ai/demo",
"type": "streamable-http"
}
],
"version": "1.0.0",
"websiteUrl": "https://deployit.ai/product/mcp",
"description": "AI product expert answering from live source code, with sources and a verification status."
}