World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
Descripción del creador (original en inglés)
Find AI-isms with evidence and fingerprint a writing voice from samples. 3 of 5 free.
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.
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Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://mcp.moltlinestudio.com/humanizerEjecuta esto en tu terminal
claude mcp add --transport http humanizer https://mcp.moltlinestudio.com/humanizerPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"humanizer": {
"url": "https://mcp.moltlinestudio.com/humanizer"
}
}
}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": {
"humanizer": {
"type": "http",
"url": "https://mcp.moltlinestudio.com/humanizer"
}
}
}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.
ChatGPT solo se conecta a servidores en internet:
https://mcp.moltlinestudio.com/humanizerLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
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.
Según cómo se conecta este servidor y la documentación de cada app, comprobado el 10 nov 2026.
Se conectan por internet en
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Nombres y descripciones de las herramientas tal como los informó el servidor el 9 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.
ai_tell_scanScan a draft for the measurable tells of AI-generated prose. FREE. Flags stock phrases (with exact quotes), structural reflexes, uniform sentence rhythm, em-dash overuse, and hedging boilerplate. Every flag cites the actual text. Typical input {"text": " "} returns {"reads_human_
voice_fingerprintBuild a measurable voice profile from samples of a person's real writing. FREE. Feed it 2+ samples (emails, posts, essays; 150+ words total) and use the result with humanize_plan / verify_rewrite. Typical input {"samples": [" ", " "]} returns {"label": "my-voice", "target_metrics
burstiness_reportMap a draft's sentence rhythm and find where it goes flat. FREE. Reports per-sentence lengths, the burstiness coefficient, and runs of similar-length sentences. Typical input {"text": " "} returns {"sentence_lengths": [12, 14, 13, 5, 28], "burstiness": 0.52, "flat_runs": [{"sente
humanize_planProduce a precise rewrite brief that de-AIs a draft, with numeric targets. PREMIUM (license). Lists every flagged tell with its fix and sentence-rhythm surgery targets; when a voice_fingerprint result is supplied, adds numeric targets to hit that person's voice. Apply the brief w
verify_rewriteVerify a rewrite actually improved: score delta, meaning check, voice distance. PREMIUM (license). Compares reads-human score before/after, a meaning-preservation proxy, and (with a fingerprint) numeric distance to the target voice. Typical input {"original": " ", "rewrite": " "}
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 10 nov 2026
Quien lo publicó (moltlinestudio.com) no es el dueño del repo (GarphenGate); puede que otra persona lo haya listado
Último cambio de código: hace 3 días
Todavía no hemos leído este repo en GitHub
Respondió en 192 ms (HTTP 200)
No hace falta iniciar sesión
Leímos 5 descripciones de herramientas y no encontramos instrucciones ocultas para la IA
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 3 de 4 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 la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez hace 3 días, y la última versión (1.2.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: World Monitor, Claude Flow, Tldraw
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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.
A thin, dependency-free stdio bridge to Moltline Studio's fleet of 22 hosted MCP servers.
Most modern MCP clients can connect to the fleet directly over Streamable HTTP, no install needed (see Direct connection below). This bridge exists for clients that only speak the stdio transport: it proxies newline-delimited JSON-RPC between your client and the hosted server, verbatim, with no telemetry and no dependencies beyond the Python 3.9+ standard library.
MOLTLINE_LICENSE in your MCP client's environment; the bridge sends it as the X-Moltline-License header and never writes it to argv, URLs or logs. See auth.md.Find it on: Smithery · MCPize · Glama · Clawmart · MCP Registry
| Server | Tools | What it does |
|---|---|---|
catalog | 10 | Search 138 agent skills and personas by plain-language job; preview any product. |
codereview | 7 | Risk-scan a diff, flag AI-generated-code tells, find secrets, report complexity. |
govern | 8 | Audit an MCP config or SKILL.md for over-broad scope and prompt-injection risk. |
timeops | 5 | Business days, meeting overlap, recurrence expansion, deadline and SLA math. |
data | 7 | Paste-your-data analytics: CSV profiling, A/B tests, correlation, growth, cohorts. |
humanizer | 5 | Find AI-isms with evidence, fingerprint a writing voice, measure burstiness. |
business | 8 | 30 finance, bookkeeping, legal-ops and SMB operations persona-skill products. |
creator | 8 | 20 blogging, brand-voice, copywriting, video and social persona-skill products. |
educator | 7 | 8 curriculum, classroom, accommodations and exam-prep persona-skill products. |
outbound | 8 | 7 outreach, sequencing, deliverability, call-coaching and CRM-hygiene products. |
personal | 9 | 20 inbox, calendar, travel, meals and family-logistics persona-skill products. |
research | 8 | 7 research navigation, thesis, note-taking and citation persona-skill products. |
skillmd-lint | 6 | Lint a SKILL.md for frontmatter, structure, secrets and size. All tools free. |
merchant | 6 | Commerce arithmetic: processor fees, charge-to-net, invoice totals, proration. |
shipping | 6 | Dimensional weight, parcel fit, landed cost, freight class, rate cards. |
shopify | 6 | Check a product CSV, URL handles, variant matrices and metafield keys. |
dropship | 6 | Dropshipping unit economics: margin, lead time, SKU mapping, price ladders. |
recall | 6 | A portable knowledge-graph memory you pass in and get back. No database. |
vision | 6 | Image header probing, bbox conversion, resize plans, color and detection math. |
regclock | 9 | Incident-reporting deadlines from the legal text (EU CRA, NIS2, DORA, GDPR, UK GDPR, HIPAA, SEC 8-K), cited. |
taxlots | 8 | Crypto cost basis: parse exchange CSVs, lint, match transfers, FIFO/LIFO/HIFO lots, Form 8949 rows, 1099-DA diff. |
optimize | 11 | OR-Tools routing, 3-D packing, 1-D/2-D cutting, knapsack and shift rostering with stated limits. |
Machine-readable discovery: api-catalog · per-server card at https://mcp.moltlinestudio.com/ /.well-known/mcp/server-card.json · fleet health.
If your MCP client supports Streamable HTTP (Claude Desktop, Claude Code, Cursor, and most current clients do), point it straight at the hosted endpoint (nothing to install):
{
"mcpServers": { "moltline-timeops": { "type": "http", "url": "https://mcp.moltlinestudio.com/timeops" } } }
Swap timeops for any slug in the table above.
Run directly (recommended): the bridge is a single stdlib-only file, so a clone is all you need:
git clone https://github.com/GarphenGate/moltline-mcp.git
python3 moltline-mcp/moltline_mcp.py timeops # any of the 22 slugs; default: catalog
Docker: see Docker below if you prefer a container.
A PyPI package is planned; until then, use the methods above.
Point your MCP client at the script with an absolute path:
{
"mcpServers": { "moltline-timeops": { "command": "python3", "args": ["/absolute/path/to/moltline-mcp/moltline_mcp.py", "timeops"] } } }
Or run it through Docker (after docker build -t moltline-mcp .):
{
"mcpServers": { "moltline-timeops": { "command": "docker", "args": ["run", "-i", "--rm", "moltline-mcp", "timeops"] } } }
python3 moltline_mcp.py [server] [--timeout SECONDS] [--list] [--version]
server: one of the 22 slugs (default catalog); anything else fails fast with the valid list.--timeout: per-request timeout in seconds (default 300, or env MOLTLINE_TIMEOUT).--list: print the server slugs and exit.MOLTLINE_BASE_URL: override the fleet base URL (for testing).MOLTLINE_LICENSE: your Moltline license, sent as the X-Moltline-License header to unlock premium tools. Omit it and the bridge runs free-tier only.MOLTLINE_DEBUG=1: diagnostic logging on stderr (stdout stays protocol-clean). The license is never logged; debug output reports only whether one is configured.The bridge also runs containerized (stdio in, network egress to the fleet required):
docker build -t moltline-mcp .
docker run -i --rm moltline-mcp timeops # any of the 22 slugs; default: catalog
See Client configuration for the matching mcpServers entry.
One process per server connection. Each JSON-RPC message read from stdin is POSTed to https://mcp.moltlinestudio.com/ ; JSON and SSE-framed responses are relayed back to stdout as newline-delimited JSON. The bridge tracks the server-assigned Mcp-Session-Id and echoes the negotiated MCP-Protocol-Version, per the Streamable HTTP transport spec. It never inspects, stores, or reports your traffic.
The bridge ships with an offline test suite - no network, no dependencies:
python -m unittest -v
Twenty-two tests cover the parts that actually break in a transport bridge: newline-delimited framing, SSE event splitting (multiple events, multi-line data: payloads, a trailing event with no blank line, comments and named events), session-id capture and reuse, protocol-version negotiation on initialize only, and error relay - a JSON-RPC error document is passed through verbatim, anything else becomes a well-formed -32603. CI runs them on Python 3.9, 3.12 and 3.13, plus a Docker build and container smoke test.
MOLTLINE_LICENSE in the environment and the bridge forwards it as the X-Moltline-License request header. It is deliberately not a command-line flag: argv is world-readable through ps. It is never placed in a URL and never logged. Details: auth.md.MIT © 2026 Moltline Studio