Snipara Project Intelligence

io.github.Snipara由 GitHub 账号 Snipara 发布v1.0.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行知识与记忆开发者工具

概览

AI 生成的概览

托管式 MCP 服务器,为 AI 代理提供有来源依据的项目上下文、记忆、代码影响分析与工作流连续性。

可以做什么
  • 为在代码库中工作的 AI 代理提供项目专属上下文与记忆
  • 支持代码影响分析与跨会话的代理工作流连续性
  • 针对项目问题,从已索引的文档语料中选取上下文
  • 通过按项目划分的托管端点连接,而非本地安装包
适用场景
适合希望编码代理在跨会话、跨工具时保留项目上下文与记忆,并接受这些上下文经由与特定项目绑定的托管服务传输的场景。
运行要求
需要访问 api.snipara.com 的远程托管端点,路径中包含项目 slug。必须认证:OAuth 流程,或具备所选项目权限的 X-API-Key 请求头(或 bearer token)。未声明本地包或环境变量。
安装前请注意
需要可访问项目的 API 密钥或 bearer token,请勿写入代码仓库或共享配置。项目上下文与查询会发送至第三方托管服务。公开的基准证据为每任务单次托管运行,不构成模型质量保证。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Snipara Project Intelligence,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 ef5c013

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

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