Specwise MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 956 installs a week from pypi. Last commit 6 Nov 2026.
OpenAPI and JSON Schema validation and OpenAPI breaking-change diffs for AI agents.
We read the source, 11 min ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
return subprocess.run(["git", "-C", str(p.parent), *args], check=False, capture_output=True, text=True)
env = dict(os.environ if env is None else env)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add specwise-mcp -- uvx bytestay-specwise-mcp
{
"mcpServers": {
"specwise-mcp": {
"command": "uvx",
"args": [
"bytestay-specwise-mcp"
]
}
}
}
[mcp_servers.specwise-mcp]
command = "uvx"
args = ["bytestay-specwise-mcp"]
{
"mcpServers": {
"specwise-mcp": {
"command": "uvx",
"args": [
"bytestay-specwise-mcp"
]
}
}
}
{
"servers": {
"specwise-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"bytestay-specwise-mcp"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
RAPIDAPI_KEY (Your RapidAPI key), API_MARKET_KEY (Your api.market key, used when RAPIDAPI_KEY is not set), HFL_MARKETPLACE (rapidapi or apimarket, when both keys are set).
Local OpenAPI contract and breaking-change checks for AI agents.
Detect breaking changes, generate changelogs, diff, and validate OpenAPI specs.
Schema-aware API monitoring: diff OpenAPI specs for breaking changes, manage endpoints.
npm & PyPI freshness for AI agents: latest version, deprecations, dated breaking-change diffs.
Pay-per-call JSON repair + JSON Schema validation for AI agents (USDC on Base, x402).
Document tooling for AI agents: PDF/text reading, chunking, schema-validated JSON output.
Change-aware CI validation and affected-test guidance for coding agents.
Local MCP server: JSON repair, regex testing, JSON-Schema validation for AI agents.
Answers built from our own checks of this server.