Repiscope
A read-only MCP server that gives coding agents structured, read-only access to sibling repositories, ensuring security by design with zero write tools.
README
Repiscope
A periscope for your repos — see everything, touch nothing.
Repiscope is a read-only MCP server that gives your coding agent (Claude Code, Cursor, or any MCP client) awareness of the sibling repositories next to the one it's working in — without ever letting it modify them.
Why
I built a personal assistant to help me decide where my time goes: for that it needs to know the real state of every project — what changed, what stalled, what the next step is. So it has to see all my repos. But telling an agent "don't touch anything" is a request, not a guarantee. Repiscope makes it a guarantee: the server exposes zero write tools, so the agent structurally cannot modify your repos. And the same periscope helps any coding agent working in project A that needs to know how a part of project B works.
Sandboxes make this worse, not better: mine (rightly) stops the agent from even reading outside the repo it started in without asking. Widening the sandbox would grant write access too. Repiscope is the third way — the agent gets structured, read-only sight of every sibling repo through one MCP server, and the sandbox stays tight.
See it in action
You're working in project-a and need to pull data from another project's
API. Instead of you digging through that codebase, the agent asks Repiscope
directly:
You: Use Repiscope to find out what kind of data I can retrieve
from billing-api through its API.
Agent: (calls list_projects → sees "billing-api")
(calls project_overview "billing-api" → spots src/routes/)
(calls search "route" project="billing-api")
(calls read_file "billing-api" "src/routes/invoices.py")
billing-api exposes three endpoints: /invoices (list, filterable
by customer and date), /invoices/{id} (full invoice with line
items), and /customers/{id}/balance (current balance). All
responses are JSON; auth is a bearer token.
The agent explored a repo it has no ability to write to. No copy-paste, no "please don't edit anything," no risk.
Tools
| Tool | Input | Returns |
|---|---|---|
list_projects() |
— | every sibling repo + one-line description |
project_overview(project) |
repo name | full overview: purpose, stack, structure, recent commits |
search(query, project?) |
text, optional repo | files & lines matching the query |
read_file(project, path) |
repo + file path | full file contents (size-capped) |
store_summary(project, summary) |
repo + your text | caches an agent-written summary (see below) |
How it stays fresh
Overviews are cached as markdown and refreshed lazily: on each call Repiscope compares the repo's current git commit hash against the one recorded when the overview was built. Same hash → serve the cache. Different → rebuild just that repo's overview. No cron, no daemons.
Borrowed intelligence
Repiscope has no LLM of its own — no API key, no model calls, zero cost. But
it talks to LLMs all day, so it borrows them: when an overview has no fresh
agent-written summary, it ends with a note asking the calling agent to
write one and hand it back via store_summary. The summary then opens every
future overview of that project — written by one agent, read by all the
next — until the repo's next commit marks it outdated and the cycle repeats.
Security by architecture
Repiscope is built so that the safe behaviour is not a promise — it's the only behaviour possible:
- Zero repo-write tools. The server exposes no tool that can create,
edit or delete anything inside your repositories. The one tool that
accepts data,
store_summary, can only write to Repiscope's own cache in~/.cache/repiscope. An agent cannot misuse a capability that doesn't exist. - Secrets are invisible. A single filter (
privacy.py) is enforced by every tool: private keys, certificates (.pem,.pfx,.p12, …),.env*files, keystores, and anything named like a credential never appear in overviews, trees, search results or file reads. Honest limit: the filter hides sensitive files — it does not scrub mentions of e.g. a password pasted inside an ordinary text file. - Symlinks can't smuggle. A cloned repo is untrusted content — it may
contain a symlink like
notes.txt → ~/.ssh/id_rsa. Anything whose real location falls outside the project is invisible to every tool, the secret filter also checks a link's real target, and path traversal (../) is refused. - You define the perimeter. Repiscope only sees the folder you
explicitly pass (
--root), and--excludemakes chosen repos fully invisible — they can't even be resolved by name. - It leaves no trace. Overview caches live in
~/.cache/repiscope, never inside your repositories.
Every claim above is enforced by the test suite in tests/ — clone the
repo and run pytest to check them yourself.
Quick start
pip install repiscope
claude mcp add repiscope --scope user -- repiscope --root ~/your/projects/folder
That's it — point --root at the folder containing your repos (not a repo
itself). Optionally hide repos with --exclude repo-a --exclude repo-b.
Works with any MCP client; for Claude Desktop there's also a one-click
.mcpb bundle (build it with mcpb/build.sh).
From source instead:
git clone https://github.com/3xpr1ment/repiscope.git
cd repiscope
python -m venv .venv && .venv/bin/pip install -e .[dev]
.venv/bin/pytest # the security claims, as executable proof
Limitations
Honesty section — what Repiscope deliberately does not do:
- The secret filter works at file level. Sensitive files are
invisible, but a password pasted inside an ordinary
notes.mdwill not be scrubbed. The perimeter is yours: only point--rootat folders you are comfortable showing to your agent — whatever the tools can see, your LLM provider will see too. - Search is deliberately dumb. Case-insensitive substring match, capped results, no index, no regex. The calling LLM supplies the intelligence at both ends; for heavy code search, use a real code-search tool.
- Overviews are mechanical. Without an agent-written summary they are README excerpts, language stats and git logs — useful, not insightful. The insight arrives once your agents start leaving summaries behind.
- Read-only cuts both ways. There is no refresh tool to call: caches refresh lazily on the next commit, and stale summaries are served marked as stale until an agent writes a new one.
- Python ≥ 3.11, developed and tested on macOS; Linux should behave identically, Windows symlink semantics are untested.
Status
v0.2.2 — working and dogfooded daily. Four read-only tools plus borrowed-LLM
summaries, lazy cache refresh, sensitive-file filtering, and a test suite
proving the security claims (path traversal, symlink escapes, secret
filtering — see tests/). API may still change.
How this was built
To be completely clear about authorship: I am not an engineer. Every architecture decision in Repiscope is mine — what it does, what it refuses to do, where the security gates live — but the coding itself is done by Claude (Anthropic's Fable model). My rule for the collaboration: nothing goes in that I don't understand. The commit history carries the co-authorship openly, commit by commit.
License
mcp-name: io.github.3xpr1ment/repiscope
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.