Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud
Context Bridge
Overview
Description from the maker (original English)
Local-first search across past Claude and ChatGPT conversations, with citations.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 146/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"context-bridge": {
"command": "uvx",
"args": [
"context-bridge-local",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add context-bridge -- uvx context-bridge-local mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"context-bridge": {
"command": "uvx",
"args": [
"context-bridge-local",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"context-bridge": {
"type": "stdio",
"command": "uvx",
"args": [
"context-bridge-local",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ModernFarm-hub, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 5690 servers in this category
- Published to the registry more recently than 83% of the other 5690 servers in this category
- Basic checks equal to or better than 100% of the other 5690 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Context Bridge safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.7.0b2) reached the registry 8 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud✓ exa.ai
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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 uvor: 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.zipTo 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-localcontext-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.zipConnect Claude Code:
claude mcp add --transport stdio context-bridge -- uvx --from context-bridge-local context-bridge mcpAsk: “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-codeApprove the displayed list at the prompt, or select one project explicitly:
uvx --from context-bridge-local context-bridge import claude-code --select 1,3 --yesuvx --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 personaluvx --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 listuvx --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_keyandcache_keyare 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 -vPYTHONPATH=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 mcpPin this beta when you need a reproducible version:
uvx --from 'context-bridge-local==0.7.0b2' context-bridge mcpRelease 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.