MCP.Market

Context Engine MCP server

by shamsundarsk·io.github.shamsundarsk/mcp-server·v0.1.4·1 stars
No reviews yet

Local-first persistent context memory MCP server for AI coding agents.

A92/100grade A
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
A92/100

full report

Adoption
New

1 stars0 downloads/wk

Reviews

Write one

Nobody has reviewed Context Engine yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Context Engine tools (9, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • branchwrite action

    Create a new branch or switch to an existing branch by name. If the branch already exists, it switches to it cleanly without modifying history.

  • checkout

    Roll back context memory to a previous commit ID

  • commit

    Record key architectural decision, bug fix, or findings into context graph

  • gather_context

    MANDATORY ON NEW CHAT OR CONTEXT RESET: Reconstructs and retrieves bounded context memory (rolling summary and all preserved architectural facts) from previous sessions.

  • get_context_tree

    Outputs a highly structured, clean markdown visual text graph tree of all active branches, commits, and memory states straight to the chat view.

  • merge

    Merge a feature context branch into target branch (defaults to main)

  • observe_turn

    Autonomous background observer: Records conversation turn history, runs dual-tier triage, and auto-commits compressed state every 5-10 turns.

  • override_memory_node

    Power user tool to target an exact node in the SQLite history graph and forcibly overwrite its text content, completely pruning out incorrect details or debug junk.

  • recall

    Recall previous commits and context facts for a given query

Public scan report

scanner v0.1.10 · 2026-10-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan14 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 4 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Context Engine compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 95% of 48,255 servers
Tools
9
the typical server has 7
Tools that change things
11%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 65% of 28,688 servers

What its tools let an agent do: 7 read · 2 change

Install Context Engine in Claude Code, Cursor or VS Code

Runs npx -y @sham-sundar-senthil-kumar/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-server -- npx -y @sham-sundar-senthil-kumar/mcp-server
Add to Cursor

What the publisher says

From the Context Engine repository's README, as published. We do not edit it. Read it on GitHub

⚡ Context Engine

Persistent memory for AI coding agents.

A local-first MCP server for carrying useful context, decisions, and project history across AI sessions.

Quick start · Features · Tools · How it works · Configuration · Contributing

The problem

AI coding sessions are powerful—but context often disappears between conversations. Decisions get repeated, project history gets lost, and developers spend time re-explaining the same codebase.

Context Engine gives compatible AI clients a persistent, queryable memory layer. It is designed to keep useful project context available across sessions while giving developers ways to inspect, search, organize, and correct that memory.

Think of it as a memory layer for your AI workflow—not another chat interface.

✨ Why Context Engine?

🧠 Persistent context Preserve important project knowledge so a new session can pick up where the previous one left off. 🔎 Targeted recall Search stored context and decisions instead of relying only on the current conversation. 🌿 Branches & history Separate experimental work, organize memory by branches, and support merge or rollback workflows. 🛠️ Human override Inspect the memory graph and correct or prune inaccurate stored information when needed. 🧹 Context curation Designed to prioritize durable decisions and useful context over transient debugging noise. 🔌 MCP integration Expose memory capabilities to AI applications through the Model Context Protocol.

🚀 Quick start

Requirements

  • Node.js 18 or later
  • An MCP-compatible client
  • Any additional credentials required by the features you enable

Use with Claude Desktop

  1. Install Node.js if it is not already installed.
  2. Open Claude Desktop's MCP configuration file:
  • macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
  • Windows: %APPDATA%\Claude\claudedesktopconfig.json
  1. Add the following server entry:
{
  "mcpServers": {
    "context-engine": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "@sham-sundar-senthil-kumar/mcp-server@0.1.4",
        "context-engine-mcp"
      ]
    }
  }
}

If your configuration already has an mcpServers object, add only the "context-engine" entry inside it—don't overwrite your existing servers.

  1. Save the file and fully restart Claude Desktop.
  2. Open the MCP tools panel and check that Context Engine is available.

Tip: The first launch downloads the package through npm, so it may take a little longer than later launches.

Run it directly

You can also start the published server from a terminal:

npx -y -p @sham-sundar-senthil-kumar/mcp-server@0.1.4 context-engine-mcp

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Context Engine: common questions

Is Context Engine MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Context Engine safety report
How do I install Context Engine?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Context Engine need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Context Engine maintained?
The last commit was 13 days ago (2026-10-22). The latest release is v0.1.4.
What can I use instead of Context Engine?
Servers from other publishers that do the same job: Deja Vu MCP server, Memorix MCP server and Nautilus Compass Memory MCP server.
How does Context Engine compare with other MCP servers?
safety score 92/100 (higher than 95% of 48,255 servers); tools 9 (the typical server has 7); tools that change things 11% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Context Engine

Same job from other publishers: the closest match first, then the best rated.

  • Deja Vu
    deja-vu: local memory over the session histories of forty-three coding agents.
    A
  • Memorix
    Local-first project memory with legacy MCP and 2026 discovery compatibility.
    B
  • Nautilus Compass Memory
    Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.
    B
  • State Memory MCP
    Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.
    A
  • Knowl
    Persistent memory for AI agents, for code, research and everyday life. Stale facts retire.
    A