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Catalog › io.github.VIKAS9793/context-fabric

Is Context Fabric reliable?

Not measured yet Context Fabric runs locally (installed package), so Faceabot cannot measure it over the network.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Context sync layer for AI agents. Ensures continuity and eliminates memory drift automatically.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.2.2 · publisher website
Connect your agent
{
  "mcpServers": {
    "context-fabric": {
      "command": "npx",
      "args": [
        "-y",
        "context-fabric"
      ]
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.VIKAS9793/context-fabric"} on https://faceabot.com/api/mcp.
Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Similar tools

context-sync Not measured yet

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Package npm : @context-sync/server · website · measurements and details
PixdataOrg-coderide Being measured · 0% over 1 checks

CodeRide eliminates the context reset cycle once and for all. Through MCP integration, it seamless…

MCP endpoint : https://server.smithery.ai/@PixdataOrg/coderide/mcp · website · measurements and details
Claude Context Sync Not measured yet

Share context, detect conflicts, and message across parallel Claude Code sessions

Package npm : claude-context-sync · website · measurements and details
NASC — Networked AI Session Continuity Not measured yet

Shared memory across AI dev tools: each session hands its context to the next, not starting cold.

MCP endpoint : https://nasc.archerionlabs.com/mcp · measurements and details
GitWhy — The Context Layer for Git Not measured yet

The shared AI context engine for git — save, search, and share the reasoning behind code changes.

Package npm : gitwhy-mcp · website · measurements and details
Publisher of Context Fabric?

Show your measured reliability on your README or website:

Faceabot reliability badge for Context Fabric

[![Measured by Faceabot](https://faceabot.com/badge/io.github.VIKAS9793/context-fabric.svg)](https://faceabot.com/tools/io.github.VIKAS9793/context-fabric)
Data in JSON: /api/catalog?id=io.github.VIKAS9793/context-fabric · Stop probes: POST /api/reliability/opt-out

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