Context Bridge

Name: Context Bridge
Author: ModernFarm-hub

作者：ModernFarm-hub版本 0.7.0b2i★ –i在你的电脑上运行

注册名称io.github.ModernFarm-hub/context-bridge

安装

概览

作者提供的说明（英文原文）

Local-first search across past Claude and ChatGPT conversations, with citations.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i非常新↓ 146/周 · ★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "context-bridge": {
      "command": "uvx",
      "args": [
        "context-bridge-local",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add context-bridge -- uvx context-bridge-local mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "context-bridge": {
      "command": "uvx",
      "args": [
        "context-bridge-local",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "context-bridge": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "context-bridge-local",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 ModernFarm-hub 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5696 个服务器的 0%
发布到注册中心的时间比此分类中其他 5696 个服务器的 83% 更新
基础检查结果等于或优于此分类中其他 5696 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Context Bridge 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.7.0b2）于8天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

Up-to-date docs for AI agents

作者：upstash广泛使用↓ 97.3万/周★ 6.4万前天更新

电脑或云端

安装

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

作者：DeusData广泛使用↓ 1.8万/周★ 4.8万22天前更新

在你的电脑上运行

安装

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

作者：exa-labs正在增长★ 52132个月前更新

在云端运行✓ exa.ai

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Context Bridge

Find what you decided in past Claude and ChatGPT conversations, with citations.

Import your exports, connect an MCP client, and ask: “What did I decide about Kafka retries last week?” Search stays on your computer. Results link to the original web conversation or an exact local transcript passage.

Beta (0.7.0b2) · Apache-2.0 · Python 3.9–3.13 · macOS and Linux · local-first · no telemetry

Quickstart

The commands below use uv. If uvx is not installed yet:

brew install uv

or: curl -LsSf https://astral.sh/uv/install.sh | sh

With an official ChatGPT export ZIP downloaded, import it:

uvx --from context-bridge-local context-bridge import chatgpt /path/to/export.zip

To keep a context-bridge command on your PATH instead, install it as a tool:

uv tool install context-bridge-local      # or: pipx install context-bridge-local

context-bridge import chatgpt /path/to/export.zip

If the shell then reports command not found, run uv tool update-shell (or pipx ensurepath) and open a new terminal.

Without uv or pipx, install into a dedicated virtual environment. A bare pip install outside one either puts the command off your PATH (macOS's bundled Python 3.9) or is refused as an externally managed environment (Homebrew and python.org Python 3.12+):

python3 -m venv ~/.context-bridge

~/.context-bridge/bin/python -m pip install -U pip context-bridge-local ~/.context-bridge/bin/context-bridge import chatgpt /path/to/export.zip

For Claude.ai instead:

uvx --from context-bridge-local context-bridge import claude /path/to/export.zip

Connect Claude Code:

claude mcp add --transport stdio context-bridge -- uvx --from context-bridge-local context-bridge mcp

Ask: “Use context_search to find what I decided about Kafka retries. Cite the conversation link. If needed, use context_read with the returned record_id and context=2 to read the surrounding turns.”

There is no required source/reader window split. Every client using this local library searches the same approved imports. All client setup instructions, including ChatGPT desktop app setup and troubleshooting.

Existing Claude Code conversations

Preview the projects available on this machine:

uvx --from context-bridge-local context-bridge import claude-code

Approve the displayed list at the prompt, or select one project explicitly:

uvx --from context-bridge-local context-bridge import claude-code --select 1,3 --yes

uvx --from context-bridge-local context-bridge import claude-code --path /path/to/project --yes

The preview numbers projects; an interactive terminal lets you choose numbers before approving. Raw dash-prefixed names also work with --project -Users-alice-code-app without an equals sign. The prompt approves the selected project directories, including future session files. New sessions are discovered during search refresh; other projects remain excluded. Existing 0.6.0a1 file-only imports need this project approval again to enable discovery. Session titles come from Claude Code's ai-title records when available. The optional context-bridge start manager creates and approves live Claude Code sessions; those sessions refresh automatically when searched.

Keep accounts separate

Export metadata (user.json, account IDs or user IDs when present) is compared before any imported data is changed. A different or unverifiable account stops a noninteractive import; in a terminal you can explicitly confirm replacement. --yes does not bypass this check. Prefer a separate named profile:

uvx --from context-bridge-local context-bridge import chatgpt /path/to/export.zip --profile personal

uvx --from context-bridge-local context-bridge list --profile personal uvx --from context-bridge-local context-bridge mcp --profile personal

Use the same --profile on import, MCP, list/stats/remove and the optional manager. Named profiles have separate files/databases under the base library's profiles/NAME directory. Only hashed account identifiers are stored. If both exports omit all account identifiers, account changes cannot be detected. Existing unidentified sources require explicit confirmation before adopting an identified account. To deliberately replace a provider's account snapshot, use --confirm-account-switch; absent conversations will be removed.

Manage your library

uvx --from context-bridge-local context-bridge list

uvx --from context-bridge-local context-bridge stats uvx --from context-bridge-local context-bridge remove --conversation 'https://chatgpt.com/c/CONVERSATION_ID' uvx --from context-bridge-local context-bridge remove --conversation CONVERSATION_ID uvx --from context-bridge-local context-bridge remove --provider chatgpt uvx --from context-bridge-local context-bridge exclusions list --profile personal uvx --from context-bridge-local context-bridge exclusions clear --conversation 'https://chatgpt.com/c/CONVERSATION_ID' --profile personal

Provider names are chatgpt, claude, and claude-code. List returns provider, title, creation date and indexed message count. Removal deletes index rows, FTS data, ingestion state, citation handles, metadata/config entries, and owned web-import copies. Original export ZIPs and Claude Code transcripts stay untouched. Removing a Claude Code provider also withdraws project-directory approval; removing one Code conversation prevents its automatic rediscovery. Removing a web conversation creates a durable exclusion in that profile: future ChatGPT/Claude imports skip it. Exclusions store only a provider and a SHA-256 digest of the provider/conversation ID, without titles or plaintext conversation IDs. exclusions list shows those hashes; use the original ID or provider link with exclusions clear --conversation to restore eligibility, then re-import. A link selects one provider; clearing a bare ID clears matching exclusions across both web providers. Use the same --profile consistently. Removing a whole provider preserves existing conversation exclusions but does not create exclusions for every remaining chat; a later export can restore those remaining chats. Only explicit exclusions clear clears the saved web exclusions.

Large export imports show progress on stderr and report conversations_removed and conversations_excluded. Excluded IDs are counted as skips, never imports or snapshot removals. Snapshot pruning does not create exclusions; absent chats can return in a later export. If an export contains objects without identifiable conversation IDs, pruning is skipped and reported as pruning_skipped; malformed entries with known IDs preserve their prior copy rather than masquerading as deletions.

What you get

Tool	Result
`context_search`	Relevant redacted passages with title, provider, date, conversation link and opaque record ID
`context_read`	Surrounding indexed turns (context=2 by default, maximum 10 each side), with pagination and changed-window checks

ChatGPT imports follow the active message-tree branch. Claude.ai imports human/assistant text. Tools, thinking blocks and internal replayed API requests are excluded. Re-importing a new export updates the conversation without duplicate messages. Each provider export is an authoritative snapshot: re-importing it removes conversations absent from that export, including their index and managed copies. Do not use a partial export to merge accounts. Export imports do not capture new browser chats automatically.

Web citations open chatgpt.com/c/ or claude.ai/chat/ and require your normal provider access. Claude Code citations use urn:context-bridge:record: handles resolved by context_read. They are not browser URLs. The MCP interface does not expose local filesystem locators. Passage behavior.

Search retrieves recorded statements; it does not establish that those statements are true. Explicit recency words influence ranking, but arbitrary date-range filtering is not implemented.

Local-first privacy

No Context Bridge account, hosted storage, analytics or usage telemetry.
Indexing and default SQLite FTS5/BM25 search run locally, with no required runtime dependencies or cloud embedding calls.
Recognized credentials, Slack/Discord webhook URLs and URL passwords are redacted before indexing and again on MCP output. JSON/YAML schema keys such as primary_key, sort_key and cache_key are preserved. Pattern matching cannot detect every arbitrary secret.
Only explicitly imported or approved conversations are available. Original export ZIPs and Claude Code transcripts are not modified.
Selected results are sent to your MCP client. If that client uses a cloud model, the provider receives those passages under your account settings.
The database is plaintext. Local filesystem access can expose its content. Revocation prevents new retrieval; it cannot recall prior model responses.

Default macOS storage is ~/Library/Application Support/ContextBridge; Linux uses $XDG_DATA_HOME/context-bridge or ~/.local/share/context-bridge. Run context-bridge paths, or set the same absolute CONTEXT_BRIDGE_HOME for imports and MCP. Security policy and boundaries.

Test it

PYTHONPATH=prototype python3 -m unittest discover -s prototype/tests -v

PYTHONPATH=prototype python3 prototype/benchmark.py --files 5000 --min-messages 2 --max-messages 40 --runs 30

The tests and benchmark use invented conversations. Model-dependent tests skip without optional local assets. The benchmark uses 5,000 conversation files with 2–40 messages each, imports/re-imports an actual synthetic provider export, and measures search including per-file freshness checks. Its p95 target is 300 ms. Import, re-import and first-server-query times are reported separately; results depend on hardware and workload. Independent 0.6.0a2 re-test results. Verification details.

Distribution

The executable is context-bridge; the distribution name is `context-bridge-local`. The PyPI name context-bridge belongs to an unrelated project.

Run the package with uvx:

uvx --from context-bridge-local context-bridge mcp

Pin this beta when you need a reproducible version:

uvx --from 'context-bridge-local==0.7.0b2' context-bridge mcp

Release and registry process.

Install from source

For contributors, run from the repository root:

python3 -m venv .venv

.venv/bin/python -m pip install -U pip .venv/bin/python -m pip install .

Contribute

Bug reports with small synthetic examples are especially useful. See contributing, architecture and SDK decision, and third-party notices.

Research is frozen while the import/search product ships. Historical model comparisons and claim-support work live under research. The claim-support checker is not part of MCP search.

Original project code is licensed under Apache-2.0.

Context Bridge

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

Context Bridge

Quickstart

or: curl -LsSf https://astral.sh/uv/install.sh | sh

Existing Claude Code conversations

Keep accounts separate

Manage your library

What you get

Local-first privacy

Test it

Distribution

Install from source

Contribute