rag-mcp

A minimal, honest RAG-over-a-corpus MCP retrieval tool. One tool,
search_knowledge(query, k), that embeds a query, vector-searches a local corpus, and
returns passages with citations (source + heading + chunk index) so answers are traceable.
Built to slot into the mcp-factory manifest model.
Fully local + $0 (no paid embedding API).
Why it's safe to put in front of a real corpus
- Cited - every hit carries
source + heading + chunk_index.
- Auth-scoped - results are confined to the configured corpus root; sources that escape it
(absolute paths,
.. traversal) are refused.
- Fail-soft - a down or empty store returns a structured error, never an exception that
crashes the calling agent.
- Bounded -
k is clamped to [1, 20]; empty queries are rejected.
- Version-pinned deps (
requirements.txt).
Stack
| Layer | Choice |
|---|
| Embeddings | local ONNX all-MiniLM-L6-v2 (384-dim, CPU, $0) -- default. bge-large-en-v1.5 (1024-dim, 512-token context) available opt-in via RAG_MCP_EMBEDDER=bge; see CUTOVER.md. |
| Vector store | ChromaDB embedded PersistentClient (zero-infra) |
| Server | mcp Python SDK 2.x, stdio transport, protocol revision 2026-07-28 |
Protocol revision
Pinned to mcp==2.0.0, the first SDK release implementing MCP protocol revision
2026-07-28. The server serves both eras on the same stdio connection -- the
client's first frame picks:
| Client opens with | Negotiated revision | Notes |
|---|
a per-request _meta envelope (or a server/discover probe) | 2026-07-28 | stateless per-request envelope; no initialize |
the classic initialize handshake | 2025-11-25 | handshake era caps here -- expected, not a downgrade |
2026-07-28 is not reachable via the initialize handshake; it is a "modern"
revision reached through server/discover or an inline _meta version stamp. Era
selection is automatic and per-connection -- there is no server-side flag.
tests/test_protocol_version.py asserts both paths end-to-end, so a dependency
rollback that silently drops the server to an older revision fails CI instead of
passing quietly.
Quick start
python -m venv .venv && .venv/Scripts/python -m pip install -r requirements.txt
python -m rag_mcp.cli ingest path/to/docs --db ./store.chroma
python -m rag_mcp.cli ingest path/to/docs --db ./store.chroma --full
python -m rag_mcp.cli query "your question" --db ./store.chroma --corpus path/to/docs -k 5
python run_server.py
python -m rag_mcp
rag-mcp
Keeping the index fresh (incremental ingest)
Ingest is incremental by default. A manifest inside the store dir records a
SHA-256 of each file's decoded text; a run re-embeds only what actually changed,
and prunes what upsert alone never could (chunks of deleted/renamed notes, and
trailing chunks of notes that got shorter).
Measured on a live 2808-file / 26.6 MiB corpus (bge, CPU):
| Run | Cost |
|---|
| tick with no changes | ~0.7s (walk + read + hash everything) |
| full re-embed | ~2h33m (50,109 chunks at ~5.5 chunks/sec) |
That is what makes a frequent schedule affordable: reingest.bat is meant to run
every 15 minutes instead of once daily at 03:00, which had left a note written
at 03:05 invisible to search_knowledge for nearly 24 hours.
The manifest is only trusted when the run identity matches -- embedder, embedding
dimension, collection and chunking parameters. Change any of them and every file is
re-embedded, so an embedder swap can never be silently half-applied. A missing,
corrupt, or mismatched manifest, or a manifest against an empty store, all degrade
to a full rebuild; nothing degrades to a wrong skip.
Snapshot de-duplication
The manifest's skip is a whole-file hash, so it cannot see the duplication that
actually hurts retrieval: a daily snapshot series (fleet-health-2026-07-23.md and
friends) repeats yesterday's paragraphs verbatim inside a file whose hash still
changed. Measured on the live vault, one ## RED Bots status line took five
distinct values across fifteen consecutive files and crowded a top-10 with
byte-identical copies of itself, burying the document that explained it at rank 16.
Ingest therefore also de-duplicates at chunk level, but only within a dated
series and only against the immediately preceding snapshot. The first occurrence
is always embedded and keeps its own date as its source; later verbatim repeats
are not embedded, and instead extend the survivor's repeat_dates metadata, which
search_knowledge returns as snapshot_date / also_unchanged_on /
snapshots_covered. So "what did this say on date X" is still answerable -- that is
why the series is de-duplicated rather than excluded. A value that changes and later
returns is kept, because it is a new fact rather than a repeat.
Scope is narrow and stated with the rule in rag_mcp/snapshots.py: filename ending
in -YYYY-MM-DD, at least 3 such files sharing a directory and stem, byte-identical
under an identical heading. On the live corpus that is 316 of 2,814 files and
collapses 842 of 50,428 chunks (17.5% of series chunks, 1.67% corpus-wide) while
touching zero ordinary notes. Disable with --no-snapshot-dedupe.
--full rebuilds in place (ignores the manifest, keeps the store); --clean
deletes the store first. Both still WRITE a manifest, so the next run is cheap.
reingest-clean.bat (weekly) remains a belt-and-braces reset.
As an MCP server
Register via mcp.yaml (validated against mcp-factory's Manifest loader). The tool is
search_knowledge(query, k); it reads the store configured by the RAG_MCP_* env vars.
Tests
Layout
rag_mcp/
chunking.py heading-scoped, overlapping markdown chunks
store.py VectorStore (Chroma) + Embedder protocol (MiniLM default + BgeEmbedder opt-in + offline HashEmbedder)
ingest.py idempotent ingest pipeline with source/heading/chunk-index metadata; incremental by default
manifest.py per-file content hashes -> skip unchanged files, prune stale chunks
search.py search_knowledge: cited, auth-scoped, fail-soft, bounded
server.py MCP stdio server exposing search_knowledge
config.py env-driven Config
cli.py ingest + query CLI
__main__.py console entrypoint (`python -m rag_mcp` / `rag-mcp` script); fails loud on missing config
run_server.py operational MCP entrypoint (referenced by mcp.yaml)
mcp.yaml manifest (mcp-factory model)
Commercial support
Maintained by Jaimen Bell. For production MCP
integrations, custom servers, or agent-reliability work, see
jaimenbell.dev.
mcp-name: io.github.jaimenbell/rag-mcp