Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Practice library for coding agents: skill search/invoke, seed patches, scout, reflect, ADR writer
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.
DOJO_SKILLS_PATH, DOJO_ADR_PATHNecesitas
¿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": {
"dojogenesis": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DOJO_SKILLS_PATH",
"-e",
"DOJO_ADR_PATH",
"ghcr.io/dojogenesis/mcp:3.2.1"
],
"env": {
"DOJO_SKILLS_PATH": "your-value",
"DOJO_ADR_PATH": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add dojogenesis --env DOJO_SKILLS_PATH=your-value --env DOJO_ADR_PATH=your-value -- docker run -i --rm -e DOJO_SKILLS_PATH -e DOJO_ADR_PATH ghcr.io/dojogenesis/mcp:3.2.1Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"dojogenesis": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DOJO_SKILLS_PATH",
"-e",
"DOJO_ADR_PATH",
"ghcr.io/dojogenesis/mcp:3.2.1"
],
"env": {
"DOJO_SKILLS_PATH": "your-value",
"DOJO_ADR_PATH": "your-value"
}
}
}
}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": {
"dojogenesis": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DOJO_SKILLS_PATH",
"-e",
"DOJO_ADR_PATH",
"ghcr.io/dojogenesis/mcp:3.2.1"
],
"env": {
"DOJO_SKILLS_PATH": "your-value",
"DOJO_ADR_PATH": "your-value"
}
}
}
}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.
DOJO_SKILLS_PATH envDOJO_ADR_PATH envEsta 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 DojoGenesis, 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 (3.2.1) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
The methodology layer for Claude Code. It encodes 99 first-party working methods across 10 behavioral plugins as active cognitive scaffolds: instead of giving Claude more data, it gives Claude structured *methods* for software development decisions.
We have not yet measured whether these scaffolds improve Claude's decisions, so this README makes no claim that they do.
Add to your project's .claude/settings.json:
{
"mcpServers": { "dojo": { "command": "/path/to/dojo-mcp-server", "env": { "DOJO_SKILLS_PATH": "/path/to/CoworkPluginsByDojoGenesis", "DOJO_ADR_PATH": "./decisions" } } } }
Or using Docker:
{
"mcpServers": { "dojo": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/dojogenesis/mcp-server:latest"] } } }
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": { "dojo": { "command": "/path/to/dojo-mcp-server", "env": { "DOJO_SKILLS_PATH": "/path/to/CoworkPluginsByDojoGenesis", "DOJO_ADR_PATH": "./decisions" } } } }
| Group | Tools |
|---|---|
| Methodology | dojo_scout, dojo_invoke_skill, dojo_search_skills, dojo_list_skills, dojo_apply_seed, dojo_reflect |
| Decisions | dojo_log_decision (writes ADR markdown to DOJO_ADR_PATH) |
| Gateway memory | dojo_memory_list, dojo_memory_store, dojo_memory_search (gateway session memory) |
| Memory Hub | dojo_search_memory, dojo_get_memory, dojo_recent_memories — read-only Postgres mirror of the institutional memory (DOJO_MEMORY_DB_URL) |
| Unified fetch | dojo_fetch — one tool to search AND fetch across memory hub + skills + ADRs + seeds (typed ids: memory:slug, skill:name, adr:file.md, seed:name) |
| Seeds | dojo_seed_list, dojo_seed_create, dojo_seed_search |
| Agents² | dojo_agent_list, dojo_agent_dispatch², dojo_agent_chat² |
| Dispatch² | dojo_dispatch² — prompt → LLM through the gateway |
| Project | dojo_project_status, dojo_project_track, dojo_project_decision |
| Disposition | dojo_disposition_list, dojo_disposition_set |
| Craft | dojo_converge, dojo_health |
² Dispatch-class — spends LLM provider budget through the gateway. In HTTP mode these require a dispatch-enabled API key and are rate limited per key; dojo_scout's LLM path degrades to its offline scaffold for non-dispatch keys.
Skills are complete, battle-tested methodology workflows loaded from SKILL.md files at startup. When DOJO_SKILLS_PATH is set, all 99 first-party CoworkPlugins skills are available. Without it, 43 key skills across 8 plugins are embedded in the binary via go:embed.
Bundled plugins and skills:
| Plugin | Skills |
|---|---|
agent-orchestration | agent-teaching, decision-propagation, handoff-protocol, workflow-router, workspace-navigation |
continuous-learning | debugging, project-exploration, research-modes, research-synthesis, retrospective, web-research-external |
skill-forge | mcp-cloudflare-builder, mcp-server-builder, process-extraction, skill-audit, skill-creation, skill-maintenance |
specification-driven-development | context-ingestion, frontend-from-backend, implementation-prompt, parallel-tracks, pre-implementation-checklist, release-specification |
strategic-thinking | iterative-scouting, multi-surface-strategy, product-positioning, strategic-scout |
system-health | documentation-audit, health-audit, semantic-clusters, status-writing |
wisdom-garden | compression-ritual, memory-garden, seed-extraction, seed-library |
Seeds are reusable thinking patterns drawn from across the Dojo ecosystem.
Dojo Genesis (Core)
| Seed | Description |
|---|---|
three_tiered_governance | Three-tiered governance framework: Strategic, Tactical, Operational. |
harness_trace | Nested JSON trace log for complete agent session traceability. |
context_iceberg | 4-tier context management system (hot/warm/cold/pruned). |
agent_connect | Routing-first agent architecture with a single supervisor. |
go_live_bundles | Lightweight deployment packages pairing artifacts with approval evidence. |
cost_guard | Budget for the full 5-10x context iceberg multiplier. |
safety_switch | Users must remain in control -- no autopilot on sensitive operations. |
implicit_perspective_extraction | Extract implicit perspectives from user queries without enumeration. |
mode_based_complexity_gating | Route to local or cloud models based on mode complexity. |
shared_infrastructure | Build once, reuse everywhere -- central implementations. |
AROMA & Serenity Valley
| Seed | Description |
|---|---|
sanctuary_architecture | Design digital spaces for being, not just doing. |
pace_of_understanding | Move slow to move fast; learn without extraction. |
lineage_transmission | Honor sources, trace influence, celebrate collaboration. |
graceful_failure | Permission to not know, change your mind, and ask for help. |
local_first_liberation | Local-first architecture for agent autonomy and user sovereignty. |
the_onsen_pattern | Rest as critical practice for sustainable performance. |
collaborative_calibration | Norms for peer-to-peer learning and explicit teaching. |
transparent_intelligence | Reveal internal state, admit uncertainty, make learning visible. |
inter_acceptance | Accept yourself through the compassionate eyes of another. |
radical_freedom | Agency and the power to choose your response within constraints. |
Documentation resources accessible via MCP resource URIs:
dojo://resources/{name} -- 8 documentation resources (AROMA philosophy, EIT principles, etc.)dojo://seeds/{name} -- 20 seed patchesdojo://skills/{plugin}/{name} -- All loaded skills| Env Var | Default | Description |
|---|---|---|
DOJO_SKILLS_PATH | (bundled fallback) | Path to CoworkPlugins root directory containing plugins/ |
DOJO_ADR_PATH | ./decisions | Directory where dojo_log_decision writes ADR files |
DOJO_GATEWAY_URL | http://localhost:7340 | Dojo AgenticGateway base URL |
DOJO_GATEWAY_TOKEN | (unset) | Bearer token for the gateway, if it requires one |
DOJO_MEMORY_DB_URL | (unset → hub tools disabled) | Postgres DSN for the Memory Hub (URL or keyword form; use the SELECT-only role) |
DOJO_HTTP_ADDR | (unset → stdio) | Opt into HTTP mode, e.g. :8091 |
DOJO_MCP_API_KEYS | (unset) | HTTP mode only: comma-separated label:key pairs (individually revocable) |
DOJO_DISPATCH_ALLOWED_LABELS | (unset → none) | Key labels allowed to run dispatch-class tools |
DOJO_DISPATCH_RATE_PER_MIN | 6 | Per-label rate limit for dispatch-class tools |
The server works out of the box with zero configuration (bundled skills, default ADR path, stdio).
Setting DOJO_HTTP_ADDR serves MCP streamable-HTTP instead of stdio:
POST/GET /mcp — the MCP endpoint, Bearer-key required (Authorization: Bearer ). Keyless or wrong-key requests get 401./mcp/k/ — same endpoint for clients that cannot send custom headers; the key is redacted in logs.GET /health — unauthenticated liveness (status + version only).The server refuses to start in HTTP mode without a valid, non-empty DOJO_MCP_API_KEYS. Every tool call is logged as tool_call tool=… key= dur_ms=… outcome=… — labels only, never key material, never payloads.
DOJO_HTTP_ADDR=:8091 \
DOJO_MCP_API_KEYS="win:$(openssl rand -hex 32)" \ ./dojo-mcp-server
curl -s localhost:8091/health curl -s -X POST localhost:8091/mcp \ -H "Authorization: Bearer " \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"curl","version":"0"}}}'
Client wiring (Claude Code): claude mcp add --transport http dojo-remote https:// /mcp --header "Authorization: Bearer ".
Deployment notes: ingress is expected to be a Cloudflare tunnel (no host ports); pin the container image by digest so auto-pull never surprise-deploys a new public surface. Image publishing: .github/workflows/docker-publish.yml → ghcr.io/dojogenesis/mcp (supersedes the old manually-pushed mcpbydojogenesis image).
git clone https://github.com/DojoGenesis/mcp.git
cd mcp
go build -o dojo-mcp-server ./cmd/server
./dojo-mcp-server
go test -race -v ./...
Requires Go 1.23 or later.
# Build the image
docker build -t dojo-mcp-server .
docker run -i --rm dojo-mcp-server
docker run -i --rm -v /path/to/CoworkPlugins:/skills -e DOJO_SKILLS_PATH=/skills dojo-mcp-server
mcp-server/
cmd/server/main.go Server entry point, env vars internal/ dojo/ handler.go 7 MCP tool handlers scaffolds.go Scout and reflect methodology templates skills/ loader.go Filesystem SKILL.md loader search.go Keyword + trigger search bundled.go go:embed fallback (15 key skills) bundled/ Embedded SKILL.md files decisions/ writer.go ADR file writer wisdom/ base.go Wisdom base, search, helpers seeds.go 20 seed patches resources.go 8 documentation resources Dockerfile Multi-stage container build .github/workflows/ci.yml CI pipeline .goreleaser.yml Cross-platform release config
Dojo Genesis is built on three core principles:
MIT License -- see LICENSE for details.
Copyright (c) 2026 Dojo Genesis
Contributions are welcome. Please see github.com/DojoGenesis for organization-level guidelines.