Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Author verifiable eval records through a draft→review→revise→submit loop with enforced graders.
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.
EVALS_DATA_DIR, EVALS_REQUIRE_CONFIRMATION, EVALS_DEFAULT_LICENSE, EVALS_CAPTURE_DIR, MCP_LOG_LEVELYou need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"evals": {
"command": "npx",
"args": [
"-y",
"@cyanheads/evals-mcp-server"
],
"env": {
"EVALS_DATA_DIR": "your-value",
"EVALS_REQUIRE_CONFIRMATION": "your-value",
"EVALS_DEFAULT_LICENSE": "your-value",
"EVALS_CAPTURE_DIR": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add evals --env EVALS_DATA_DIR=your-value --env EVALS_REQUIRE_CONFIRMATION=your-value --env EVALS_DEFAULT_LICENSE=your-value --env EVALS_CAPTURE_DIR=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/evals-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"evals": {
"command": "npx",
"args": [
"-y",
"@cyanheads/evals-mcp-server"
],
"env": {
"EVALS_DATA_DIR": "your-value",
"EVALS_REQUIRE_CONFIRMATION": "your-value",
"EVALS_DEFAULT_LICENSE": "your-value",
"EVALS_CAPTURE_DIR": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}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": {
"evals": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/evals-mcp-server"
],
"env": {
"EVALS_DATA_DIR": "your-value",
"EVALS_REQUIRE_CONFIRMATION": "your-value",
"EVALS_DEFAULT_LICENSE": "your-value",
"EVALS_CAPTURE_DIR": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
EVALS_DATA_DIR envEVALS_REQUIRE_CONFIRMATION envEVALS_DEFAULT_LICENSE envEVALS_CAPTURE_DIR envMCP_LOG_LEVEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 7, 2026
The registry name was verified with the GitHub account cyanheads, 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 (0.1.6) reached the registry 25 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Signoff
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.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
@cyanheads/evals-mcp-server Author verifiable eval records through a draft → review → revise → submit loop with server-enforced graders; compile to JSONL/CSV/Inspect/lm-eval via MCP. STDIO or Streamable HTTP. 9 Tools • 1 Resource
Build verifiable eval records with server-enforced graders. Draft a record with its own executable grader, revise it field by field, and submit through a gate that requires the gold answer to pass, a negative case to fail, and an independent check to agree. Export to JSONL, CSV, Inspect AI, or lm-evaluation-harness.
| Tool | Description |
|---|---|
evals_describe_schema | Return the required and optional fields plus grader options for a task type. Call before drafting. |
evals_create_draft | Create a draft eval record carrying its own grader; returns the parsed record, a review protocol, and a verification subagent prompt. |
evals_get_record | Read a draft or submitted record by id; the id is stable across submit. |
evals_revise_draft | Apply a surgical set / append / unset patch to a draft by dotted path; re-runs the self-consistency check. |
evals_discard_draft | Delete a draft record by id. Draft-only. |
evals_run_check | Run a grader spec against candidate answers and get PASS/REJECT per candidate, decoupled from any saved record. |
evals_submit_draft | Finalize a draft through the committability gate, then freeze it. |
evals_list_records | Browse and filter records by status, domain, task type, or tag. Returns a compact summary per record. |
evals_export_records | Compile submitted records to JSONL, CSV, Inspect AI, or lm-evaluation-harness and write the artifact under exports/. |
| Resource | Description |
|---|---|
eval://record/{id} | A single draft or submitted record by id — the same payload evals_get_record returns, for resource-capable clients. |
All record data is also reachable through the tool surface — evals_get_record for a single record, evals_list_records to browse. The resource is a convenience mirror for clients that support resources, not the access path.
evals_describe_schema tooltask_type: numeric, exact_answer, set_answer, mcq, regex_answer, json_answer, or free_response.mcq requires choices, and free_response requires llm_rubric.evals_create_draft toolverification and captures (EvalsIDs); mcq requires choices, and free_response requires llm_rubric.draft once its grader runs, and returns the normalized record, a review protocol, a verification-subagent prompt, and what submit still needs. A draft whose gold fails its grader is still saved.grader_unexecutable, task_type_constraint, mcq_choice_mismatch.evals_get_record toolid, which stays stable across submit.not_found points to evals_list_records.evals_revise_draft toolset, append, and unset by dotted path to a draft; task_type and server-owned fields cannot be changed, and arrays are replaced whole or appended, not edited by index.changed entries (op, path, before, after). An unknown path rejects the whole patch.not_found, record_frozen for a submitted id, invalid_patch_path, grader_unexecutable, task_type_constraint, mcq_choice_mismatch.evals_discard_draft tooldraft_id and returns discarded: true.record_frozen; a missing or already discarded id reports not_found.evals_run_check toolcandidates without a saved record; supply gold for exact_match, while target-embedding kinds such as numeric and mcq ignore it.detail, and the resolved reference per candidate. llm_rubric can't be run here.units is documentation only.grader_unexecutable, mcq_choice_mismatch.evals_submit_draft tooldraft_id: gold must PASS, ≥1 negative must be REJECTED, and decorrelated verification must agree. Also checks captures against EVALS_CAPTURE_DIR, rejects duplicate content_hash, and can ask for confirmation via confirm or EVALS_REQUIRE_CONFIRMATION.submitted_at and checksum and returns status: submitted; a refusal leaves the draft intact. free_response records rely on verification alone and carry server_verified: false.not_found, record_frozen, verification_incomplete, grader_failed_on_gold, verification_disagrees_with_gold, missing_negative_case, negative_case_passed, duplicate, decorrelation_violation, capture_unresolved, submit_declined.evals_list_records toolstatus (draft/submitted), domain, task_type, or tag; limit is a positive integer and defaults to 50.shown, cap, totalCount, and truncated.evals_export_records toolsubmitted records, optionally filtered by domain, task_type, or tag, as jsonl (lossless), csv (lossy summary), inspect (Inspect AI), or lm-eval (lm-evaluation-harness).exports/ and returns the path, record count, byte size, and preview.eval://record/{id} resourceid from evals_list_records or a draft/submit response.evals_get_record payload as application/json, or not_found when no record matches.Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.
Eval authoring:
draft → review → surgical-revise → submit loop, with the server both storing records and running each record's own grader to reject what doesn't hold upnumeric, exact_answer, set_answer, mcq, regex_answer, json_answer, free_responsenumeric via math.js, exact_match, set_match, regex, mcq, json_match) run server-side, while llm_rubric relies on recorded independent verificationEVALS_DATA_DIR, with drafts, submitted records, and exports kept separateAgent-friendly output:
evals_create_draft and evals_revise_draft return the parsed record, a per-field review protocol, and a ready-to-paste verification-subagent promptevals_list_records reports shown / cap / total count when the limit is hitreason plus a recovery hintAdd the following to your MCP client configuration file. Set EVALS_DATA_DIR to a writable folder — the server manages drafts/, submitted/, and exports/ under it.
{
"mcpServers": { "evals-mcp-server": { "type": "stdio", "command": "bunx", "args": ["@cyanheads/evals-mcp-server@latest"], "env": { "MCP_TRANSPORT_TYPE": "stdio", "MCP_LOG_LEVEL": "info", "EVALS_DATA_DIR": "/absolute/path/to/evals-data" } } } }
Or with npx (no Bun required):
{
"mcpServers": { "evals-mcp-server": { "type": "stdio", "command": "npx", "args": ["-y", "@cyanheads/evals-mcp-server@latest"], "env": { "MCP_TRANSPORT_TYPE": "stdio", "MCP_LOG_LEVEL": "info", "EVALS_DATA_DIR": "/absolute/path/to/evals-data" } } } }
Or with Docker:
{
"mcpServers": { "evals-mcp-server": { "type": "stdio", "command": "docker", "args": [ "run", "-i", "--rm", "-e", "MCP_TRANSPORT_TYPE=stdio", "-v", "evals-data:/usr/src/app/evals-data", "ghcr.io/cyanheads/evals-mcp-server:latest" ] } } }
For Streamable HTTP, set the transport and start the server:
MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 EVALS_DATA_DIR=./evals-data bun run start:http
EVALS_DATA_DIR. No external API key is required.git clone https://github.com/cyanheads/evals-mcp-server.git
cd evals-mcp-server
bun install
cp .env.example .env
All server configuration is validated at startup via Zod schemas in src/config/server-config.ts.
| Variable | Description | Default |
|---|
| EVALS_DATA_DIR | Root folder for record JSON; the store manages drafts/, submitted/, and exports/ under
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