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Sippion

Sippion

Local
github.comDeveloper Tools0Updated 6w ago

About Sippion

Sippion is a local, read-only MCP server that retrieves a small set of relevant repository excerpts for coding agents, reducing unnecessary context. Retrieval stays offline, does not execute repository code, and keeps no persistent index.

Key features

  1. 01Single repository-context retrieval tool
  2. 02Lexical, structural, and semantic retrieval
  3. 03Local and read-only operation
  4. 04Redaction of high-confidence secrets
  5. 05Retrieval state kept in memory only
  6. 06Structural parsing for multiple languages

Use cases

  1. 01Find relevant source excerpts from a query
  2. 02Supply focused repository context for coding tasks
  3. 03Search a repository without running its code
  4. 04Reduce the need to read large files

MCP support

Sippion is a local MCP server that provides bounded repository-context retrieval to coding agents through the repo_context tool.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbsippion-linux-x86_64.mcpb
mcpbsippion-windows-x86_64.mcpb
mcpbsippion-macos-aarch64.mcpb
mcpbsippion-macos-x86_64.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Sippion

Release CI MCP Registry License Rust

English | 日本語

Use less AI context. Make API tokens — and subscription usage allowances — last longer.

Sippion is a local, read-only MCP server that helps AI coding agents consume fewer tokens. Instead of letting an agent open large parts of a repository, Sippion's single tool, repo_context, returns a small set of relevant, bounded source excerpts first.

This reduces unnecessary context per task. It can lower usage for API-based workflows, but that is not the only benefit: Sippion can also help subscription-based AI coding plans last longer by reducing how much context the agent needs to consume.

How it works

AI coding agent
    ↓ ask for focused repository context
Sippion repo_context
    ↓ return a few relevant excerpts
AI reads only the files it actually needs

Example:

repo_context {"q":"authentication token validation"}

Sippion uses bounded lexical, structural, and semantic retrieval while staying local and read-only.

Install

macOS / Linux
curl -fsSL --proto '=https' --proto-redir '=https' --tlsv1.2 https://raw.githubusercontent.com/Sitten-Tokyo/Sippion/75d6b27e83b86bec00297cd5b5c05bb014e16904/scripts/bootstrap.sh | sh
Windows PowerShell
irm https://raw.githubusercontent.com/Sitten-Tokyo/Sippion/75d6b27e83b86bec00297cd5b5c05bb014e16904/scripts/bootstrap.ps1 | iex

Then restart your AI client. sippion setup registers Sippion for Codex, Claude Code, Antigravity, and OpenCode.

Useful commands:

sippion setup
sippion doctor
sippion uninstall
sippion mcp --root-auto

Why Sippion

  • Fewer tokens: gives the agent focused repository context instead of broad file reads.
  • Useful beyond API billing: can help subscription usage allowances last longer too.
  • Local and private: no network access while serving repository context.
  • Read-only: never modifies the repository or executes repository code.
  • No persistent index: retrieval state stays in RAM.
  • Small surface area: one MCP tool, repo_context.

Sippion is a repository-context tool, not a compiler or language server. Structural parsing currently covers Rust, Python, JavaScript/TypeScript, Go, Java, C#, C, and C++.

Safety

Sippion does not run repository code, build scripts, compilers, LSP servers, or shell commands during retrieval. Repository text is treated as untrusted data, and high-confidence secrets are redacted before model output.

See Security and trust boundary for details.

Documentation

Credits

The compact efficiency behavior is inspired by Ponytail and i-have-adhd. License notes are in Third-party notices.

Comments

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