Context Bridge
Enables visual snapshots of components by integrating with an existing Storybook setup in the project, allowing LLMs to see component states during context packing.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Context Bridgeselect context for fixing login token refresh"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Context Bridge
Context Bridge is a local-first pipeline between a repository and external LLMs or MCP clients. It is intentionally narrow: it packs bounded repository context, ranks files and symbols with a tree-sitter/PageRank graph, applies structured SemPatch YAML through AST matching, and writes changes through a transaction layer with verification hooks.
It is not a full coding agent. It does not plan large refactors end to end. It focuses on the I/O boundary: what leaves the repo, and what comes back in.
What It Does
pack repository context with manifests, byte limits, secret scanning, and optional visual snapshots,
build repository maps from tree-sitter tags and reference scores,
select task-relevant files within a token budget,
apply SemPatch YAML with transactional prepare/commit semantics,
expose the same primitives through CLI, MCP, and an agent skill,
pair with a browser companion so web LLMs can operate on local code without copy/paste loops.
Related MCP server: lattice
Install
python -m pip install -e .
python -m pip install -e ".[mcp,visual]"Quick Start
Generate a repository map:
context-bridge map . --query "fix login token refresh" -o repo-map.mdSelect a bounded bundle:
context-bridge select . --task "fix login token refresh" -o selected-context.mdCreate a staged plan:
context-bridge playbook . --task "fix login token refresh" -o playbook.mdApply a SemPatch response:
context-bridge apply answer.md --root .
context-bridge apply answer.md --root . --writeMigrate a legacy patch file once:
context-bridge migrate-old-patches legacy-answer.md -o answer.sempatch.mdSemPatch
SemPatch is the required patch format. Each block is explicit YAML:
--- sempatch ---
file: src/example.py
language: python
op: replace
selector:
rule:
pattern: |
def hello():
$$$BODY
replacement: |
def hello():
return "updated"
--- end sempatch ---Use op: create_file with content: for new files. The tool validates the structure, matches
exactly one AST node, and runs inside a transaction when writing.
MCP
context-bridge mcpThe MCP server exposes pack_context, repo_map, context_playbook, select_context_for_task,
scan_text_for_secrets, inspect_sempatches, apply_patches, and sempatch_schema.
Browser Companion
The browser companion follows the same shape as existing Chrome/MCP bridge projects: prefer Chrome Native Messaging for the local host boundary, then fall back to the loopback HTTP bridge when native host registration is not available.
context-bridge ext native-manifest --extension-id <installed-extension-id> --output native-host.json
context-bridge ext serveThe extension/ directory is a Chrome MV3 companion. It calls the native host
com.context_bridge.native_host first and uses context-bridge ext serve only as a fallback.
Verification
Configure verify hooks in .context-bridge.toml:
[verify]
typescript = ["pnpm", "exec", "tsc", "--noEmit"]
python = ["python", "-m", "ruff", "check", "--quiet"]
rust = ["cargo", "check", "--quiet"]apply --write runs verification by default. Use --no-verify only when you knowingly want
to skip the hooks.
Visual Snapshots
bundle --visual does not ship a custom component renderer. It reuses an existing
Storybook, Ladle, or Histoire setup in the target project and captures it with Playwright:
[visual]
explorer = "storybook"
command = ["npm", "run", "storybook", "--", "--ci", "--port", "6006"]
url = "http://127.0.0.1:6006"
timeout_seconds = 45If no story exists for a component, Context Bridge reports that clearly instead of emitting a fake snapshot.
Development
python -m unittest discover -s tests -v
python -m compileall -q src testsThis server cannot be deployed
Maintenance
Related MCP Connectors
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.
Repository knowledge graph MCP server for codebase understanding and debugging.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to retrieve and manage code context with hybrid search, project memory, and observability via MCP tools.29MIT
- AlicenseNot gradedqualityAmaintenanceProvides bounded repository context and edit-grant MCP tools to coding agents such as Codex, indexing local repositories and enabling fingerprint-checked patch application.12Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to perform hybrid semantic and lexical code search across multiple repositories, retrieve symbol definitions and call hierarchies, and manage repository relations through MCP tools.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceProvides AI coding agents with Git repository history analysis, including churn hotspot detection, semantic file coupling, and recent context summaries through MCP tools.MIT