Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Verify every spec requirement is claimed by an issue, PR, or code reference; list gaps.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"speccheck": {
"command": "npx",
"args": [
"-y",
"@reneturcios/speccheck",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add speccheck -- npx -y @reneturcios/speccheck mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"speccheck": {
"command": "npx",
"args": [
"-y",
"@reneturcios/speccheck",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"speccheck": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/speccheck",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Whisper
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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A spec is only as good as the work that actually answers it. Requirements get written, issues get filed, pull requests get merged, code lands — and somewhere in that pile the mapping between "what the spec asked for" and "what claims to have done it" quietly rots. speccheck audits that mapping. You supply the spec's requirements and the claims made against them, and it reports which requirements are covered, which are not, which claims point at requirements that do not exist, and how many claims each requirement collected.
Nothing is fetched. A requirement counts as covered the moment at least one claim names its id; the claiming source can be an issue, a pull request, or a code reference, and duplicate claims each count — three issues claiming the same requirement is a fact worth seeing in the count, not noise to deduplicate. A claim naming an id that no requirement has is dangling: it is echoed back in full, in the order the claims arrived, and it counts nowhere — not toward coverage, not toward any requirement's total. It usually means a renamed requirement or a typo, and either way it is the spec owner's problem to see, not the tool's to guess at.
The verdict compresses the report into one word. If every requirement is claimed, the spec is fully_covered. Otherwise the coverage percentage — covered over total, rounded to the nearest integer — decides: 80 or above is mostly_covered, 50 or above is partial, and anything lower is sparse. The counts always travel with the verdict, so the word never has to be taken on faith.
Malformed input is a validation error naming the offending path, with no partial result: requirements must be a non-empty array of objects each carrying a non-empty id and text, requirement ids must be unique (a duplicate is an error naming the id), and claims must be an array — possibly empty — of objects each carrying a non-empty requirement_id and source_ref plus a source_kind of issue, pr, or code. Unknown extra fields are ignored. The computation is pure and local: no network, no configuration, and no repository is read or touched.
npx @reneturcios/speccheck check --input args.json
npx @reneturcios/speccheck --version
args.json contains the full arguments object:
{
"requirements": [ { "id": "REQ-1", "text": "Users can sign in with a passkey" }, { "id": "REQ-2", "text": "Sessions expire after 24 hours" }, { "id": "REQ-3", "text": "Admins can revoke any session" } ], "claims": [ { "requirement_id": "REQ-1", "source_kind": "pr", "source_ref": "PR #412" }, { "requirement_id": "REQ-1", "source_kind": "issue", "source_ref": "issue #388" }, { "requirement_id": "REQ-2", "source_kind": "code", "source_ref": "src/session.ts" }, { "requirement_id": "REQ-9", "source_kind": "issue", "source_ref": "issue #401" } ] }
The result is printed as JSON:
{
"covered": ["REQ-1", "REQ-2"], "uncovered": ["REQ-3"], "dangling_claims": [ { "requirement_id": "REQ-9", "source_kind": "issue", "source_ref": "issue #401" } ], "claim_counts": { "REQ-1": 2, "REQ-2": 1, "REQ-3": 0 }, "coverage_percent": 67, "verdict": "partial", "requirement_count": 3, "claim_count": 4 }
claim_counts carries an entry for every requirement, including zeros, with keys in the order the requirements were supplied. Exit codes: 0 on success, 1 on a runtime error (including an unreadable or invalid input file, or invalid input), 2 on a usage error.
npx -y @reneturcios/speccheck mcp
MCP client config:
{
"mcpServers": { "speccheck": { "command": "npx", "args": ["-y", "@reneturcios/speccheck", "mcp"] } } }
check_spec_coverage — Verify a spec's requirements are claimed by issues, pull requests, or code, from caller-supplied requirement and claim facts.requirements (array, required, at least 1 item) — the spec's requirements; each item is an object with a non-empty id and text, and ids must be uniqueclaims (array, required, may be empty) — claims that an issue, pull request, or code reference addresses a requirement; each item is an object with a non-empty requirement_id, a source_kind of issue, pr, or code, and a non-empty source_refReturns {covered, uncovered, dangling_claims, claim_counts, coverage_percent, verdict, requirement_count, claim_count}.
docker run -i ghcr.io/cloudcorprecords/speccheck
docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/speccheck check --input /w/args.json
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (pure local, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios