Ek-Chuah MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Ek-Chuah MCPsearch for ancient Maya writing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Ek-Chuah MCP -- MCP-AEC (lector C3)
Servidor MCP read-only que sirve el graph_aec (Archivo Epistemico) en la nube:
cualquier IA lee la via epistemica de forma autonoma, y por I3 cada lectura trae
su porque. Hermano del substrato Ek-Chuah
(misma topologia que concept-sediment / concept-sediment-mcp: substrato y servidor
MCP son repos separados).
Contrato de origen:
concept-sediment/docs/ek_chuah/-- CONVERGENCIA (proceso 2), LECTOR_C3 (esta spec), SCHEMA_YAML_AEC, y REPORTE_CodeCS_a_CodeMCP_paso4_habilitado.
Arquitectura (camino B -- Guardian 2026-06-27)
La nube no recibe la proyeccion ya construida; recibe el log (forma Q) y
reconstruye la proyeccion aqui. Honra forma Q / I1, evita el desync de proyeccion
one-way, y reusa el stack concept-sediment-mcp.
../AEC/log/inscripciones.jsonl (durable local, la VERDAD -- CodeCS)
| exportador del log (SOL JOINT a CodeCS; bytes nivel-1 NO cruzan)
v
aec_log (JSONB append-only) copia replicada del log en la nube
| projection_build.rebuild_projection (idempotente, det.)
v
7 tablas graph_aec + afirmacion.embedding proyeccion REGENERABLE
| queries.py (read-only)
v
4 tools MCP -> cualquier IARelated MCP server: Complexity Source MCP
Tools (4 core, todas read-only)
Tool | Job | Entrada |
| "?ya investigue X?" -- indice anti-re-investigacion (embeddings + ILIKE) |
|
| una afirmacion + su via ascendente completa (I3) |
|
| un referente -> cadena de versiones (I4) |
|
| traza descendente: que trajo una indagacion y que sobrevivio |
|
aec_search devuelve cada hit con stub de via (nunca dato pelon); aec_get_via
expande la via completa. 5a tool aec_divergencia diferida (LECTOR_C3 §8).
Membrana (el candado que no se rompe)
No escribe. Read-only por construccion +
get_readonly_session(SET TRANSACTION READ ONLY) + rol de BD solo-lectura en Railway. Aportar va por Estratega, fuera de aqui.No baja URLs. Sin web; la
urles metadato forense que devuelve, no que fetcha.No sirve nivel 1. Devuelve
content_hash, nunca los bytes del snapshot.
Estructura
server.py FastMCP + Starlette + 4 tools aec_*
queries.py lectura read-only (ports de proyeccion.py)
projection_build.py rebuild de aec_log -> 7 tablas + embeddings (camino B)
schema.sql DDL: aec_log + 7 tablas proyeccion + pgvector
db.py engine; get_readonly_session (defensa membrana)
normaliza_url.py espejo vendorizado de D-ver-1 (canonical URL)Local
cp .env.example .env # DATABASE_URL (Postgres+pgvector) + GEMINI_API_KEY
python projection_build.py --replicate ../AEC/log/inscripciones.jsonl # carga aec_log
python projection_build.py --rebuild # reconstruye + embeddings
python server.py # lector en :8000Falsador I1 (rebuild = identico, excluye embedding):
python projection_build.py --dump debe coincidir con
Ek-Chuah/proyeccion.dump_logico sobre el mismo log.
Deploy (gateado por Guardian)
El deploy del MCP-AEC invalida sesiones MCP (CONVERGENCIA §9). Antes: YAMLs de
cierre reviewed + MTV + baselines si cambian tools. Railway apunta a este repo,
no al substrato. Post-deploy: reiniciar cliente -> reconectar MCP.
Pendiente JOINT
El exportador del log local -> aec_log es jurisdiccion CodeCS (SOL del borde,
docs/ek_chuah/SOL_EXPORTADOR_LOG_AEC_2026-06-27.md). Mientras tanto,
projection_build.py --replicate lo simula desde el archivo local para pruebas.
Tool Schema Changelog
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