reed-mcp
Click on "Install 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., "@reed-mcpsearch my research notes for the 2024 results"
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.
reed-mcp
Your assistant reads your private documents. Nothing leaves the machine.
An MCP server that puts reed — a local-first RAG service with audited citations — behind four read-only tools, so any MCP host can answer from your own documents.
The problem
Connecting an assistant to your documents normally means uploading them somewhere. For a law firm, a clinic or anyone under GDPR, that is not a deployment detail — it is the reason the project does not happen.
The pieces to avoid it already exist: local models, local vector stores, RAG services that run on a laptop. What was missing is the join. An assistant that can use a local index needs a tool interface, and a RAG service that answers in prose is the wrong shape — the host already has a model, and a better one. What it needs is evidence.
Related MCP server: rag-retriever-mcp
Constraints
Nothing leaves the machine. The host spawns this server over stdio; the server talks to reed over loopback. There is no telemetry, no analytics and no third-party host in the request path.
The host's model writes the answer. reed-mcp returns ranked passages with filenames, pages and scores. Attribution is the point: an answer nobody can check is worse than no answer.
Read-only. No upload, no replace, no delete. A tool that cannot destroy anything needs no confirmation dialog and no trust.
Consumer hardware. A laptop, a 4B model, no GPU cluster.
Architecture
flowchart LR
H["MCP host<br/>(Claude Desktop, Claude Code)"] -->|stdio| M["reed-mcp"]
M -->|"HTTP, loopback"| R["reed"]
R --> Q[("Qdrant<br/>hybrid index")]
R --> O["Ollama<br/>local models"]
M -.->|"evidence + citations"| HTwo decisions carry the design.
A separate process, not a reed subcommand. reed is single-node by design:
one process per registry and active index. Importing it as a library while
reed serve is running is exactly what that model forbids, so reed-mcp is a
client, and reed's HTTP surface is the contract between them.
search before ask. reed_search returns evidence and stops; the host's
model writes the answer and cites it. reed_ask runs reed's own local model
instead, which costs seconds rather than milliseconds — worth it when a fully
local generation is the requirement, wasteful when the host was going to write
the answer anyway. This is why reed grew
POST /v1/search: retrieval
without generation did not exist, and without it every lookup paid for an answer
the caller would discard.
Tools
Tool | Returns |
| Ranked passages: filename, page, section, score, excerpt — plus reed's evidence-threshold verdict ( |
| reed's own answer with |
| The corpus and each document's ingestion status. |
| One document's status and metadata. |
Results
Measured end to end — a real MCP session over stdio, a real reed, a real index — on an Apple M5 (32 GB) running reed 0.5.1 with EmbeddingGemma and qwen3.5:4b through Ollama. 30 searches and 5 asks after a warm-up call:
Operation | p50 | p95 |
| 159 ms | 252 ms |
| 4.8 s | — |
The gap is the whole argument for search: retrieval is thirty times cheaper
than generation, and the host already has a model.
On egress, the honest claim is architectural rather than measured: the only host
reed-mcp opens a connection to is REED_MCP_URL, and its runtime dependencies
are httpx and the MCP SDK. Independent verification is a job for a tool built
for it — that measurement will be added when
egress-audit exists rather than asserted here.
Run it
You need a running reed 0.5.0 or newer
(/v1/search first shipped there; 0.5.1+ recommended) and
uv.
Claude Code:
claude mcp add reed -- uvx reed-mcpClaude Desktop, in claude_desktop_config.json:
{
"mcpServers": {
"reed": {
"command": "uvx",
"args": ["reed-mcp"]
}
}
}Then ask your assistant something your documents answer. It will search, quote and cite.
Configuration
Environment variables only — never tool arguments, so nothing sensitive can be elicited through the tool channel:
Variable | Default | Meaning |
|
| Where reed listens |
| empty | Sent as |
|
| Per-request timeout |
|
| Longer excerpts are truncated and marked |
Security model
Retrieved text is data, not instructions. Excerpts reach the host's model as quoted document content, and every tool description says so. reed audits citations on its side. Neither can semantically sanitise a document: index what you trust, and treat a corpus anyone can write to as untrusted input.
Credentials never touch the tool channel. They arrive through the process environment and are never logged.
Nothing here can modify your corpus. All four tools are annotated read-only, and the server implements no write path.
Development
uv sync
uv run pytest
uv run ruff check . && uv run mypyThe unit suite is hermetic — reed is stubbed at the HTTP layer. The end-to-end suite is not, and that is the point: it launches this package the way a host does and drives it against a real reed. CI runs it against the published reed image, pinned by digest.
REED_MCP_E2E_URL=http://localhost:8000 uv run pytest e2eMocks proved the wiring and missed the bug that mattered — a client bound to an event loop that had already closed, which broke every tool call in every real host while the unit suite stayed green. The e2e suite exists because of it.
License
Apache-2.0.
This server cannot be installed
Maintenance
Resources
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