Sutra

Name: Sutra
Author: sutra

Private, provider-agnostic memory and reusable skills shared across AI agents through MCP.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://sutra--sutra.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "Sutra": {
      "url": "https://sutra--sutra.run.tools"
    }
  }
}

能力清单

工具	说明
read_context	Load the user's shared Sutra identity context. Call this before answering broad questions about the user's preferences, history, projects, or prior decisions. The result can contain sensitive personal data, so use only the details needed to answer the user's current request. For a targeted lookup, use search_memory instead.
write_observation	Save one durable memory only after the user clearly asks or agrees to save it. Use for stable preferences, decisions, corrections, working patterns, or project facts. Do not store inferred traits, secrets, transient conversation, or information the user did not authorize Sutra to retain.
search_memory	Search for targeted memories using short, specific keywords. This uses case-insensitive plain-text matching. For broad personal questions, call read_context first. If this returns no results, call read_context before concluding that nothing relevant is known. Do not use this to enumerate all user data; use export_all only when the user explicitly requests an export.
get_cluster	Get memories and metadata for one known project cluster. Use list_clusters first if the cluster name is unknown. Do not use this for a keyword search across clusters; use search_memory instead.
list_clusters	List project clusters with descriptions and memory counts. Use this to discover a cluster name before get_cluster. It does not return the memories stored inside each cluster.
export_all	Export all user memories as structured JSON for data portability. Call only when the user explicitly requests a complete export or backup. This returns potentially sensitive data from every cluster; do not call it merely to answer a question, search memory, or inspect one cluster.
list_skills	List reusable skills the user has explicitly enabled in Sutra. Use this to discover an enabled skill slug before get_skill. It returns metadata, not the skill instructions or resource contents.
get_skill	Load an enabled SKILL.md and its supporting resource index. Use after list_skills identifies a relevant skill. Load individual resources with get_skill_resource only when the skill instructions require them.
get_skill_resource	Read one supporting file from an enabled Sutra skill. Use only for a path listed by get_skill and only when needed for the current task. Do not guess paths or load every resource preemptively.
upload_skill	Upload a SKILL.md and optional text resources when the user explicitly asks. Do not create or upload a skill based on inference or without clear authorization. The new version remains disabled until the user enables it in the dashboard.

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