Advertise
MCP.so
Sign In

Contexo MCP Server

@sugihAF

RepositoryHomepage

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

sugihAF

Submitted by

Sugih AF

About Contexo MCP Server

AI Agent Context Versioning and Synchronization

#ai#llm#context

Contexo MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "contexo": {
      "command": "ctx",
      "args": [
        "mcp"
      ]
    }
  }
}

Contexo MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Contexo?

Contexo is an open-source MCP server that gives AI coding agents a persistent, shared memory of your project. Instead of re‑explaining architecture, conventions, and past decisions each session, agents pull what’s already known before starting work and push back what they learn afterward. Knowledge is stored in a git‑backed repository, making it versioned, diffable, reviewable, and shareable across teammates and tools—and because it’s built on MCP, the same knowledge can be used with Claude Code, Cursor, Codex, and other compatible agents.

How to use Contexo?

Contexo is available as an MIT‑licensed Go CLI and server that you can self‑host, plus an optional hosted version. Install the CLI and run the server to start capturing and sharing project context with your AI coding agents. The README does not provide specific installation or configuration commands.

Key features of Contexo

  • Persistent, versioned project memory stored in git
  • Section‑aware diffs and full history
  • Drift detection to flag outdated context
  • Agent‑assisted merges for collaborative updates
  • Structured capture of the why behind decisions
  • Cross‑agent compatibility via the MCP protocol

Use cases of Contexo

  • Avoid repeating architecture and conventions in every new AI session
  • Share project decisions, gotchas, and reasoning across a team
  • Keep context in sync between different AI coding tools (e.g., Claude Code and Cursor)
  • Track how project knowledge evolves over time with diffs and history

Frequently asked questions

1

What problem does Contexo solve?

Contexo eliminates the “context tax” by giving AI agents a shared memory of your project, so they don’t need to re‑learn architecture, conventions, or past decisions every session.

2

How is Contexo different from storing context in `CLAUDE.md` or vendor‑specific memory?

Contexo centralizes context in a git‑backed repository that is versioned, diffable, reviewable, and shareable across teammates and tools, rather than scattering it in local files or vendor‑specific features.

3

Is Contexo open source and can I self‑host it?

Yes. Contexo is open‑core: the Go CLI and server are MIT‑licensed and can be self‑hosted. An optional hosted version is also available.

4

Which AI coding agents work with Contexo?

Contexo works with any MCP‑compatible agent, including Claude Code, Cursor, Codex, and others.

5

Where does project knowledge actually live?

Knowledge lives in a git‑backed repository, so it is versioned, diffs are visible, and the history is reviewable alongside your codebase.

Comments

More Memory & Knowledge MCP servers

M1K3

Round-Tower

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.

7

Neither MCP

stonianua

Project context your AI can query through MCP — with source evidence.

Memlord

MyrikLD

Memlord is a remote MCP server available at https://app.memlord.com.

Scento Perfume API (MCP server): free fragrance API, no key

Scento

Scento Perfume API is a free fragrance API and perfume notes database for developers and AI agents. Search 1,500+ perfumes and 400+ ingredients, compare scents, find similar perfumes, map scent families and build occasio

Sensefold

SenseFold Labs

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au

Advertise