
DeployIt MCP server
Which servers in the official MCP registry are DeployIt's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-19
- Registry nameai.deployit/product-expertverified in the MCP registry
The registry name sits under deployit.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-19
- Tools3
- Server calls itselfdeployit-demo
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 731 ms.
- Whether its tools do the product's job has not been judged yet.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP score94 of 100answers 100 · definitions 83 · context 100
- Answered100% of days8 of 8 daily checks
- Median first answer548 ms
- Space in an agent's context≈ 933 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsB · 83 of 100
- Typed results0 of 3 toolsdeclared outputSchema: results come typed, read once
- Not saying whether it only reads or can destroy: 3 of 3
What an agent can do with it
- not sure · check weekly what developers shipped without asking the team
- not sure · prepare board or client progress reports from repository activity
- cannot · spot stale pull requests and stalled refactors
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
server_infoDescribe 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…
get_recent_changesInstant 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…
ask_product_expertAsk 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…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"product-expert": {
"type": "http",
"url": "https://mcp.deployit.ai/demo"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http deployit https://mcp.deployit.ai/democlaude.ai, ChatGPT and other clients: add https://mcp.deployit.ai/demo as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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