Snipara Project Intelligence

io.github.Snipara由 GitHub 帳號 Snipara 發布v1.0.0更新於 Oct 24, 2026

Hosted MCP for source-backed project context, memory, code impact, and agent workflow continuity.

已驗證Streamable HTTP可網頁執行知識與記憶開發者工具

概覽

AI 產生的概覽

託管式 MCP 伺服器,為 AI 代理提供有來源依據的專案脈絡、記憶、程式碼影響分析與工作流程延續性。

可以做什麼
  • 為在程式碼庫中工作的 AI 代理提供專案專屬脈絡與記憶
  • 支援程式碼影響分析與跨工作階段的代理工作流程延續性
  • 針對專案問題,從已建立索引的文件語料中挑選脈絡
  • 透過依專案劃分的託管端點連線,而非在本機安裝套件
適用情境
適合希望編碼代理在跨工作階段、跨工具時保留專案脈絡與記憶,並可接受這些脈絡經由與特定專案綁定的託管服務傳輸的情境。
執行需求
需要連線至 api.snipara.com 的遠端託管端點,路徑中包含專案 slug。必須驗證:OAuth 流程,或具備所選專案權限的 X-API-Key 標頭(或 bearer token)。未宣告本機套件或環境變數。
安裝前請注意
需要可存取專案的 API 金鑰或 bearer token,請勿提交至程式碼儲存庫或共用設定。專案脈絡與查詢會傳送至第三方託管服務。公開的基準證據為每項任務單次託管執行,並不保證模型品質。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Snipara Project Intelligence,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

snipara-examples

Reproducible examples and evidence for Snipara Project Intelligence.

This repository keeps public integration examples, MCP discovery metadata, and benchmark evidence in one place. It is intentionally small: no customer data, private runbooks, internal ranking code, or credentials are included.

Start here

Verify the benchmark evidence with only Python's standard library:

bash
python3 benchmarks/hosted-context-2026-06/verify_results.py

The verifier checks the case manifest hash, case coverage, reported means, deltas, and token-reduction arithmetic. It does not claim that a live LLM run will be byte-for-byte deterministic.

Hosted MCP

Snipara is a Hosted MCP server for project intelligence and context optimization across AI agents. Each user connects a project-specific endpoint:

text
https://api.snipara.com/mcp/YOUR_PROJECT_SLUG

Authentication is supplied at runtime through X-API-Key or a bearer token. Never commit an API key to this repository.

What this benchmark does and does not prove

The frozen evidence pack compares focused Snipara context against the first 32,000 tokens of the same indexed documentation corpus on 12 project-context questions. It preserves case-level scores so the published aggregates can be independently recomputed.

It is one hosted run per task, not a universal model-quality guarantee. Model behavior and the live hosted index can change, so future reruns should publish a new dated evidence pack instead of rewriting the historical result.

Additional controlled proof

The Project Intelligence proof replay measures a different question: whether continuity context changes what a coding agent finds before implementation and whether continuity-heavy scenarios pass across local, Codex CLI, and Claude runtimes. It is kept separate from the hosted-context benchmark because it uses a Snipara-owned repository and does not yet include a negative control where cold agents should already succeed.

Related projects

  • snipara-evals provides the deterministic Project Intelligence scoring library and CLI.
  • snipara-companion provides local workflow continuity and code-impact gates.
  • snipara-memory provides the standalone open-source memory engine.
  • Snipara documentation documents the Hosted MCP, Project Intelligence, integrations, and security boundaries.

License

Apache-2.0. See LICENSE.

來源:README.md,提交 ef5c013

工具

0
該伺服器需要登入,因此 SourceWeft 無法在沒有帳號的情況下讀取其工具,也未收錄。已連接帳號所能看到的內容可能因帳號及其權限而異。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

評分

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