Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Translate Python between English keywords and your language, with round-trip verification.
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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.
LEGESHER_MCP_LOG_LEVELYou need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"legesher": {
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_MCP_LOG_LEVEL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add legesher --env LEGESHER_MCP_LOG_LEVEL=your-value -- uvx legesher-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"legesher": {
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_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": {
"legesher": {
"type": "stdio",
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_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.
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LEGESHER_MCP_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 legesher, 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.
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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 (0.3.0) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Master CSS
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.
Inspect Master CSS classes, generated CSS, and project stylesheets from your AI client.
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The Legesher Model Context Protocol server: the engine's translation capability inside every MCP-capable client — Claude, IDE assistants, agent frameworks — as six coarse, task-shaped tools.
Using the MCP server is free forever (Apache-2.0). The local server runs entirely against the locally installed Legesher engine: it needs no account, and every tool call is served locally. Optional usage telemetry is planned and will be off unless you turn it on; the Privacy section below says exactly what it would send. Some capabilities require a Legesher account on the hosted instance. What the server does is defined by this open package and nothing else.
| Tool | What it does |
|---|---|
translate_to_native | Translate Python source into your natural language. Accepts complete files and fragments alike — no separate snippet mode. |
translate_to_source | Translate native-language code back to English-keyword Python — the form the interpreter, the toolchain, and upstream collaborators use. |
explain_in_language | Return the *engine facts* an assistant needs to explain code in your language: construct-by-construct keyword mappings, a static validation result, and (optionally) the translated source. The model writes the prose; the tool never does. |
lookup_keyword_mapping | Quick-reference lookup: how do specific terms (or the full mapping) render in a language. |
map_existing_codebase | The legibility report: given a set of files, what would translating this codebase into a language look like — per-file coverage, unmapped constructs, and optionally the translated files. |
validate_identifier_translations | Check proposed identifier translations before recording them: malformed identifiers, unsafe text, names the pack has reserved, drift (one concept, two terms) and collision (two concepts, one term) — against both your existing glossary and the rest of the batch. Comparison is NFKC+casefold, so case variants and decomposed forms count as the same term. Returns the conflict-free subset, NFC-normalized and ready to record. |
Notes on shape, straight from the design:
pivoted: true rather than failing.compile(), never exec() — submitted code is parsed, never executed.unsupported_language, language_pack_not_found, invalid_source) and a generic message: no stack traces, no filesystem paths, no echoed source.| URI | Contents |
|---|---|
legesher://languages | The language catalog with pack availability. |
legesher://languages/{lang}/terms | The full term dictionary (keywords, builtins, exceptions, reserved words) for one language, at the default Python version. |
legesher://languages/{lang}/terms/{python_version} | The same dictionary pinned to a Python version, for callers on a grammar other than the default. |
explain-in — scaffolds "explain the selected code in {language}", steering the model to explain_in_language first and keeping engine facts distinct from narration.translate-review — walks a source/translated pair: translate, validate, then summarize what changed and what did not map.legibility-report — drives map_existing_codebase over pasted files and renders the coverage report as a stakeholder-readable summary.The server needs the Legesher engine. Every language pack ships inside legesher-i18n, so nothing else is installed:
# The server (pulls legesher-core and legesher-i18n, packs included)
uvx legesher-mcp
Inside the monorepo workspace every shipped pack is already installed:
uv run legesher-mcp
The server is quiet by default (log level WARNING). For troubleshooting, set LEGESHER_MCP_LOG_LEVEL (DEBUG, INFO, WARNING, ERROR, CRITICAL); unrecognized values fall back to the quiet default. GUI clients do not run your shell, so the variable has to go in the client's own config — every block below shows where.
claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": { "legesher": { "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
claude mcp add legesher -- uvx legesher-mcp
claude mcp add legesher --env LEGESHER_MCP_LOG_LEVEL=DEBUG -- uvx legesher-mcp
.cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "legesher": { "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
.vscode/mcp.json (workspace) or the user-level mcp.json (Command Palette: *MCP: Open User Configuration*):
{
"servers": { "legesher": { "type": "stdio", "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
settings.json → context_servers:
{
"context_servers": { "legesher": { "command": { "path": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } } }
The env block is optional in every case — drop it to keep the quiet default.
stdio is the default and what every client config above spawns. The same server also speaks the MCP streamable HTTP transport, for running it as a long-lived local service or on a machine you control:
legesher-mcp --transport streamable-http # 127.0.0.1:8000/mcp
legesher-mcp --transport streamable-http --port 9000 legesher-mcp --transport streamable-http --host 192.0.2.7
The posture, deliberately:
--host defaults to 127.0.0.1, and wildcard binds (0.0.0.0, ::) are refused: this entry ships no authentication, so it binds exactly one interface you name. To serve beyond a machine you trust end to end, put your own auth in front (below).application/json, not SSE.Origin header are unaffected.Embedding instead of running: legesher_mcp.server.create_server() builds the complete server from a Backend and an entitlement gate, and create_http_app() returns it as an ASGI app to mount behind your own middleware (TLS, auth, request context for the gate — see legesher_mcp.gate.request_context). The gate is default-open: no deployment code here installs one, gated tools always stay listed, and an unentitled call answers with an actionable message rather than an opaque failure. validate_identifier_translations is permanently free by construction.
The server is the deterministic half; two shipped artifacts carry the policy and playbook half for agent sessions:
AGENTS.md, fill in the declared language, and every AGENTS.md-reading agent (Codex, Cursor, Claude Code, Antigravity, Windsurf) picks up the same eight rules: write natively, never hand-translate keywords, one-concept-one-term naming via the project glossary, and the byte-identical round-trip guarantee. The file is the *declaration*; long sessions evict rules files from context, which is exactly why the deterministic tools — not the file — are the *guarantee*..claude/skills/. Skills carry the *stable* playbook; the MCP server stays the live surface — that split is deliberate.LEGESHER_MCP_TELEMETRY=on in the server's environment (the env block or --env flag of your client config, as in the examples above).DO_NOT_TRACK=1 or LEGESHER_TELEMETRY_DISABLED=1 always wins and overrides every other setting.map_existing_codebase are report labels — echoed back to you, never logged, never used to touch the filesystem. This is why validate_identifier_translations takes your glossary as *content* and hands back the accepted entries rather than saving them: recording is yours to do, whether that is .legesher/identifier_map.json in your repo or the legesher CLI, which already maintains that file. A durable glossary that outlives the session and is shared across repos and teammates is a system of record, and belongs behind the hosted API — not in a local subprocess.readOnlyHint: true, idempotentHint: true, destructiveHint: false, openWorldHint: false. Clients that read the hints (Claude Code among them) can reduce or skip approval prompts, because no tool call writes a file, executes submitted code (validation is compile() only), or opens a socket. A surface-lock test asserts the annotations, so a future tool that *does* any of those has to change them deliberately.cd libs/mcp
uv run pytest # the per-commit suite (every tool, through MCP) uv run pytest -m scheduled # release-tier: all-packs sweep + wheel spawn uv run ruff check . # lint uv run mypy legesher_mcp # types
Two test tiers. The default run exercises every tool through a real MCP client session and stays fast. The scheduled tier is excluded from it and run before a release:
tests/test_roundtrip_sweep.py, so a fix announces itself.Only the beginning is shown; read the rest in the repo