Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Ceramic glaze chemistry: unity formulas, limit checks, substitutes, recipes, shelf and firing logs.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"glazemath": {
"command": "npx",
"args": [
"-y",
"@reneturcios/glazemath",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add glazemath -- npx -y @reneturcios/glazemath mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"glazemath": {
"command": "npx",
"args": [
"-y",
"@reneturcios/glazemath",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"glazemath": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/glazemath",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub CloudCorpRecords, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro ayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js, Docker en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, yontu
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
glazemath is a small local bridge to the hosted Glazecalc MCP server, which does ceramic glaze chemistry. It can look materials up in a shared library, work out a recipe's unity (Seger) formula, check a recipe against published limits for its firing, convert between cones and temperatures, find substitutes for discontinued materials, remake a recipe from the materials on hand, solve for a target formula, and lay out line, triaxial and progression blends for test tiles. It also reaches the caller's own Glazecalc account: saved recipes, private materials, the on-hand shelf, firing logs, notebook entries, settings and trash.
The bridge keeps no glaze data of its own. It serves the upstream server's tool list locally, exactly as captured from the live endpoint, and forwards each tool call upstream, returning the result untouched. Every record it can change belongs to the caller's own account; there is no sending, payment or third-party surface in the captured tools.
Reference and calculation:
search_materials — find library materials by name, alias or maker. Required: query.get_material — one library material: oxides, loss on ignition, replacements, hazards. Required: name.analyze_recipe — unity formula, oxide groups, silica to alumina ratio, expansion and Stull placement for a recipe. Required: lines.check_limits — check a recipe against recommended limits for its firing. Required: lines.convert_cone_temperature — convert between Orton or SK cones and temperatures. No required fields.suggest_substitutes — modern replacements for discontinued or scarce materials in a recipe. Required: lines.match_from_materials — remake a recipe from only the listed materials. Required: lines, have.solve_target — make a recipe whose formula comes near a target unity formula or analysis. Required: target.blend_recipes — line or triaxial blend tiles between two or three recipes. Required: a, b.vary_material — progression tiles showing what one material does across a range. Required: recipe, material, to.compare_recipes — two recipes side by side, oxide by oxide. Required: a, b.search_guides — search the plain-language guides for potters. Required: query.Your own account records:
list_recipes — list saved recipes, newest first, with search and firing filters. No required fields.get_recipe — one saved recipe with its formula worked out afresh. Required: id.list_my_materials — list materials saved in your own account. No required fields.get_shelf — the materials marked as on hand. No required fields.match_with_what_i_have — remake a recipe from only the shelf materials. No required fields.list_firings — list saved firing logs. No required fields.get_firing — one firing log. Required: id.list_notes — list notebook entries. No required fields.get_my_settings — your saved settings. No required fields.create_recipe — save a new recipe. Required: title, lines.update_recipe — change a saved recipe. Required: id.add_notebook_entry — add a notebook entry. Required: content.add_my_material — save a private material with its analysis. Required: name, analysis.update_my_material — change a private material. Required: id.add_to_shelf — mark materials as on hand. Required: materials.remove_from_shelf — remove materials from the shelf. Required: materials.undo_shelf_change — undo the last shelf change. No required fields.move_to_trash — move one of your records to the trash. Required: kind, id.create_firing_log — save a new firing log. Required: title, columns, rows.add_firing_rows — add readings to a firing log. Required: id, rows.link_firing — save a test result linking a recipe to a firing. Required: recipeId, firingId.Calculated results are guides from published figures, not test results and not a guarantee of food safety — the fired tiles decide.
GLAZECALC_MCP_URL (optional) — override the upstream endpoint. Defaults to https://glazecalcapp.com/mcp. (The override hook is this rebuild's own labelled reconstruction.)GLAZECALC_API_KEY (optional) — when set, every upstream request carries an Authorization: Bearer header, for the caller's own Glazecalc token, which the original's registry record scopes to the caller's own saved records. When it is not set, no key header is sent. (The header name is pinned by the original's registry record; the Bearer scheme and this env forwarding are labelled reconstructions — the original surface was captured keyless.)On the first tool call the client opens a streamable HTTP session with the upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name glazemath), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.
Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with glazemath error: (this rendering is this rebuild's own labelled reconstruction).
Each tool is also a subcommand taking one JSON argument string:
npx @reneturcios/glazemath search_materials '{"query":"custer"}'
npx @reneturcios/glazemath analyze_recipe '{"lines":[{"material":"Custer Spar","amount":30}]}' npx @reneturcios/glazemath get_shelf npx @reneturcios/glazemath --version
Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.
npx -y @reneturcios/glazemath mcp
MCP client config:
{
"mcpServers": { "glazemath": { "command": "npx", "args": ["-y", "@reneturcios/glazemath", "mcp"] } } }
docker run -i ghcr.io/cloudcorprecords/glazemath
docker run --rm ghcr.io/cloudcorprecords/glazemath --version
The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.
npm install
npm run build npm test npm run dev
The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
MIT — see LICENSE.