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ContextBridge MCP server

by ThunderEagle·io.github.ThunderEagle/context-bridge·v1.0.2
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MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.

B70/100grade B
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Safety scan
B70/100

full report

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

ContextBridge tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –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 91 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 70/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How ContextBridge compares

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

Safety score
70/100
higher than 28% of 802 Databases servers

Install ContextBridge in Claude Code, Cursor or VS Code

The registry entry has no remote endpoint or installable package.

What the publisher says

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

<!-- mcp-name: io.github.ThunderEagle/context-bridge -->

ContextBridge

A zero-dependency MCP memory server for Windows that gives AI coding assistants a shared, persistent memory layer with semantic search.

What is ContextBridge?

AI coding assistants like Claude Code are stateless—each session starts fresh, with no persistent memory of your prior context, decisions, or discoveries. ContextBridge solves this by running as a background Windows Service that all your AI tools connect to. It stores memories persistently, searchable by meaning (not keywords), so context accumulates across sessions and across different tools simultaneously.

Why ContextBridge?

  • Zero external dependencies — No Docker, Postgres, Python, or Ollama. Everything runs in one Windows Service process.
  • In-process embeddings — Embedding model (all-MiniLM-L6-v2, ~22 MB) runs via ONNX Runtime; no external API calls.
  • Single-file storage — SQLite database at %ProgramData%\ContextBridge\memories.db. Backup is one file copy.
  • Shared across tools — Claude Code (HTTP), Claude Desktop (stdio), Cline, VS Code Chat Agents all connect to the same memory store in real-time.
  • Memory survives service restarts — Memories persist in SQLite; the embedding model loads once on startup and stays warm.

Requirements

  • Windows 10 / Windows 11 (required for Windows Service integration)
  • Option A: .NET 10 SDK (if installing via dotnet tool)
  • Option B: Windows 10+ (no additional prerequisites if downloading a pre-built .exe)
  • Admin PowerShell (required to install/uninstall the Windows Service)

Quick Start

Option A: Install via dotnet global tool

If you have the .NET 10 SDK installed:

dotnet tool install -g ThunderEagle.ContextBridge

This places a context-bridge executable on your system PATH.

Option B: Direct download

Download a pre-built executable from GitHub Releases (no SDK required; one-time SmartScreen warning). Add the .exe to your PATH or invoke it directly.

First-run setup

Run these two commands in admin PowerShell (right-click → "Run as Administrator"):

# 1. Download the embedding model, register as Windows Service, start it
context-bridge service install

# 2. Configure your AI tools to connect
context-bridge configure

What happens:

  1. service install downloads the embedding model (~22 MB), registers the Windows Service, sets it to auto-start on boot, and starts it immediately.
  2. configure auto-detects installed clients (Claude Code, Claude Desktop, Cline, VS Code Chat) and wires them up to connect to the service.

The service now runs in the background. Your AI tools will see the memory store the next time you restart them.

Verify the service is running:

Get-Service ContextBridge

Expected output: Status = Running

Supported Clients

All clients share the same SQLite database via concurrent connections; memories written by one tool are immediately visible to others.

MCP Tools

ContextBridge exposes seven MCP tools for your AI assistants to use:

Shortened. The full README is on GitHub.

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

ContextBridge: common questions

Is ContextBridge MCP server safe?
Mostly: it is graded B (70/100). Read the ContextBridge safety report
Does ContextBridge need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is ContextBridge maintained?
The last commit was 130 days ago (2026-06-27). The latest release is v1.0.2.
What can I use instead of ContextBridge?
Servers from other publishers that do the same job: Myc MCP server, Clude MCP server and open-memex MCP server.

Alternatives to ContextBridge

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

  • Myc
    Task queue, decisions and memory for coding agents. Local SQLite, no network. Requires Bun.
    C
  • Clude
    Portable agent memory anchored on Solana. Local SQLite + vector recall, open export.
    B
  • open-memex
    Local-first memory for AI coding agents — Markdown + SQLite FTS5, shared across editors via MCP.
    B
  • Graphmem
    Shared local memory for coding agents: SQLite, semantic recall, linked entities, code navigation.
    A
  • SAME - Stateless Agent Memory Engine
    Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
    B