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SiGit

Connects coding agents to siGit for repository browsing, code search, PR and issue management, and web search.

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Install SiGit

Pick your client, then add it in one click or paste the config.

No confirmed install command yet

We only publish a config when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for siGit, and we’d rather show nothing than a guess you’d paste into your client.

Open setup steps on GitHub

Overview

siGit MCP server connects coding agents with siGit (sigit.si) to browse repositories, search source code, manage pull requests and issues, and perform web searches. Its tools provide repository and collaboration context inside an MCP-compatible agent workflow. Reach for siGit when an agent needs to inspect hosted code or work with project issues and pull requests from one interface. The related siGit Code runtime also supports local agent workflows through ACP over stdio.

Use cases

  • Browse a repository while investigating an implementation
  • Search code for symbols, references, or matching text
  • Manage pull requests from a coding-agent session
  • Review and update repository issues
  • Search the web for development context

Key features

  • Repository browsing
  • Code search
  • Pull request management
  • Issue management
  • Web search
  • MCP-based coding-agent access

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

7/7 checks healthy over the last 38d

Supply-chain signal

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Scanned 4d ago via OSV.dev

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars56Stargazers on the source repository.
Last commitTodayMost recent push to the default branch.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How SiGit works

What siGit MCP server does

siGit MCP server brings siGit project data and actions into coding-agent workflows through the Model Context Protocol. Its tool set covers four main areas: repository browsing, code search, pull request management, issue management, and web search. This makes it suitable for agents that need to inspect a codebase, locate relevant implementation details, review repository work, or update collaboration items without leaving the agent session.

The integration is aimed at development tasks rather than general-purpose data access. A coding agent can use repository context to answer questions about a project, search for symbols or text across code, and work with the pull requests and issues associated with that project.

How it works

An MCP-compatible client exposes the siGit tools to an AI agent. The agent selects the relevant operation based on the task: repository browsing for project structure and files, code search for locating implementation details, pull request or issue tools for collaboration workflows, and web search for information beyond the repository.

siGit Code is also described as a local-first coding-agent runtime. It runs locally by default, can use optional cloud or remote inference, and communicates with ACP-compatible editors over stdio when started with --acp. Its broader runtime supports connecting to MCP servers over stdio and Streamable HTTP, allowing MCP tools to participate in editor-based agent sessions.

Tools and capabilities

The integration is useful for tasks such as:

  • Browsing repositories and their contents
  • Searching source code
  • Managing pull requests
  • Managing issues
  • Searching the web from an agent workflow

These capabilities make siGit relevant when repository investigation and project-management actions need to happen alongside coding assistance.

Limitations and notes

The repository centers on siGit Code, a local-first coding agent, as well as its ACP and terminal interfaces. ACP mode requires the --acp argument and communicates over stdio. The terminal interface is available on macOS and Linux; Windows support is listed for ACP mode but not terminal mode.

siGit Code can be installed through Cargo, Homebrew, pip, uv, npm, NuGet, winget, Scoop, AUR, Debian/Ubuntu packages, or Fedora/RHEL packages. Its first launch downloads a GGUF model from Hugging Face, typically requiring about 1–2 GB of storage. On-device operation does not require an API key. The project is licensed under Apache-2.0.

Read the full README View source on GitHub

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Frequently Asked Questions about SiGit

siGit is an MCP server that connects AI coding agents to siGit (sigit.si), providing tools to browse repositories, search code, manage pull requests and issues, and perform web searches. It is intended for coding workflows that need repository context and collaboration actions through the Model Context Protocol.

Install siGit Code using Cargo, Homebrew, pip, uv, npm, NuGet, winget, Scoop, AUR, or a Debian/Ubuntu or Fedora/RHEL package. Cargo installation uses `cargo install sigit`; the first launch downloads a GGUF model of roughly 1–2 GB.

Use Zed's custom agent configuration and start the executable with `--acp`. Set the command to the absolute path of `sigit`; the ACP configuration uses `args: ["--acp"]`.

Yes, siGit provides code-search and pull-request capabilities. Agents can use it to locate code in repositories and manage pull-request workflows alongside repository browsing and issue management.

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