personal-mcp-bridge
Enables safe, read-only browsing of allowlisted local directories through MCP, providing tools to list roots, read files, and search text.
README
personal-mcp-bridge
A minimal, read-only bridge that lets an MCP client (or any HTTP caller) browse a few allowlisted local directories safely. It does three things:
list_roots- list the directories you allowlisted, by public aliasread_file- read one text file inside an allowlisted rootsearch- search text files under an allowlisted root
That is the whole surface. It is intentionally small.
What this is not
This is not a full personal automation layer. It does not run agents, write files, run shell commands, drive a browser, or keep any memory, audit, or cache database. It is an alpha, read-only file bridge with safe defaults. If you came looking for a do-everything assistant runtime, this is the deliberately boring, auditable subset.
Safety model in one paragraph
Fail closed. With no roots configured, every request is blocked. Paths are
relative-only with no traversal, no drive letters, and no symlink escapes. In
public/tunnel mode the bridge refuses to start without a strong token, refuses
tokens passed in the URL, refuses the generic /call endpoint for any
forwarded/remote request, and never emits an absolute local path. See
SECURITY.md and THREAT_MODEL.md.
Install
Requires Python 3.10+.
python -m pip install -e .
# or, just install the runtime deps:
python -m pip install starlette uvicorn
Run the demo (no real files touched)
The demo allowlists only the bundled synthetic demo/mock_data directory and
exercises all three tools in-process:
python demo/run_demo.py
You will see list_roots, a file read, a search hit on mock data, and a
traversal attempt being refused.
Run the server against your own files
Allowlist one or more directories, then start the bridge on loopback:
export BRIDGE_ROOTS="notes=/path/to/notes;docs=/path/to/work/docs"
python -m personal_mcp_bridge
# serving on http://127.0.0.1:8787
Then:
curl http://127.0.0.1:8787/roots
curl "http://127.0.0.1:8787/read?root=notes&path=welcome.md"
curl "http://127.0.0.1:8787/search?root=notes&q=budget"
On loopback with no token set, local calls are allowed for convenience. To
require a token even locally, set BRIDGE_TOKEN and send
Authorization: Bearer <token>.
Exposing it beyond localhost
Don't, unless you mean it. If you put this behind a tunnel, set
BRIDGE_PUBLIC_MODE=1 and a strong BRIDGE_TOKEN (>=32 chars). The bridge will
refuse to start otherwise. Even then, only the dedicated read-only endpoints are
remote-reachable; the generic /call dispatch stays localhost-only.
Status
Alpha. Read-only. Expect rough edges. Issues and PRs welcome.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.