opchain
Claude Code / MCP skills for the dev pipeline: discover, spec, design, build, ship, operate.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"opchain-skills": {
"url": "https://opchain.dev/mcp"
}
}
}Remote-Endpunkte
https://opchain.dev/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (7)
🟢list_skills
List every opchain skill (id, displayName, description, phases, commands). Call this first to see the concept→ship pipeline.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}⚪route(query)
Map a request or an /oc-* command to the skill that should handle it, with the entry phase. Use when you're unsure which skill fits.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "An /oc-* command (e.g. /oc-discover) or a natural-language request (e.g. 'build me an app')."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢get_skill(id)
Return the full SKILL.md (the instructions) for one skill id. Load it, then follow it. Read get_orchestrator once before your first get_skill in a session.
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Skill id, e.g. oc-app-architect."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢get_orchestrator
Return the shared orchestrator protocol (welcome flow, pipeline map, active-chaining rules). Read once at the start of a session.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟡create_checkpoint_session
Create a private server-issued session for checkpoint storage. Retain the returned sessionId and use it with read_checkpoint/write_checkpoint; never invent or share one.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟡read_checkpoint(skill, sessionId)
Read a skill's saved session checkpoint (where you left off). sessionId must be a private token returned by create_checkpoint_session.
Eingabe-Schema
{
"type": "object",
"properties": {
"skill": {
"type": "string"
},
"sessionId": {
"type": "string",
"minLength": 36,
"maxLength": 128,
"description": "Private token returned by create_checkpoint_session."
}
},
"required": [
"skill",
"sessionId"
],
"additionalProperties": false
}🟡write_checkpoint(skill, sessionId, checkpoint, expectedRevision)
Persist a skill's session checkpoint so progress survives across sessions. Stores the object as given (any JSON object up to 64 KiB); it does not validate it against the opchain checkpoint protocol, so write the shape the protocol documents.
Eingabe-Schema
{
"type": "object",
"properties": {
"skill": {
"type": "string"
},
"sessionId": {
"type": "string",
"minLength": 36,
"maxLength": 128,
"description": "Private token returned by create_checkpoint_session."
},
"checkpoint": {
"type": "object",
"description": "The checkpoint JSON to store (skill_state, next_actions, etc.)."
},
"expectedRevision": {
"oneOf": [
{
"type": "string",
"minLength": 1
},
{
"type": "null"
}
],
"description": "Local durable transport only: null creates only if absent; a revision updates only that revision. Omit for atomic unguarded replacement."
}
},
"required": [
"skill",
"sessionId",
"checkpoint"
],
"additionalProperties": false
}Community
Nachweis