SeekLink MCP Server
io.github.simonsysun/seeklink
Local semantic search for Markdown vaults with hybrid keyword + vector retrieval, no cloud required.
What is the SeekLink MCP server?
SeekLink is a local semantic search CLI and optional read-only MCP server for Markdown vaults. It indexes folders of .md files and searches with hybrid keyword + vector retrieval, returning line-anchored results. Everything runs locally without API keys or cloud services.
SeekLink enables semantic search over personal knowledge bases and Obsidian-compatible vaults using local embeddings and optional reranking. It fuses BM25 full-text search, vector similarity, title/heading matching, and wikilink graph signals through Reciprocal Rank Fusion. Useful for agents and humans to search and read precise line windows from Markdown wikis without sending data to hosted services.
How to install SeekLink
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
search— Semantic search with hybrid keyword + vector retrieval, tag/folder filtering, and optional reranking. Returns line-anchored results with scores.get— Read precise file windows by path and line number with context, without using the database or daemon.status— Report index counts, model names, configuration compatibility, SQLite WAL status, and freshness warnings.doctor— Check Python, SQLite, local database, index compatibility, daemon state, and optional MLX availability.index— Build or update the SQLite FTS5 + vector index for a vault or single Markdown file.daemon— Manage the optional resident daemon that keeps embedder and reranker warm in memory for faster searches.mcp— Read-only Model Context Protocol adapter exposing search, get, status, and doctor tools to MCP clients.
Use cases
- Search a personal knowledge base or Obsidian vault semantically without uploading to cloud services
- Retrieve precise line-anchored context from Markdown notes for agent workflows and wiki updates
- Filter search results by tags and folder prefixes to narrow results in large vaults
- Use SeekLink as a search layer for Markdown wiki patterns like llm-wiki without hosted infrastructure
- Integrate semantic search into Claude Code, Cursor, or VS Code via the optional MCP adapter
SeekLink MCP server FAQ
SeekLink is a local semantic search engine for Markdown vaults that combines BM25 full-text search, vector embeddings, title/heading matching, and wikilink graph signals. It runs entirely locally with no cloud API or internet required.
Yes, SeekLink is open-source under the MIT license and free to use. It requires Python 3.11+ and SQLite 3.45+ with FTS5 support.
Install the MCP extra with `pip install seeklink[mcp]`, build the index with `seeklink index --vault /path/to/vault`, then add the MCP server to your editor config pointing to that vault path.
No. SeekLink is completely local and requires no API keys, cloud services, or authentication. It stores a SQLite database in `.seeklink/seeklink.db` within your vault.
SeekLink supports Markdown (.md) files in plain folders or Obsidian-compatible vaults. It does not support other formats without conversion.
SeekLink is paused and no longer actively maintained. The README recommends qmd as an actively-developed alternative with similar features (local hybrid search, line-anchored results, CLI + MCP, multilingual support).
README (reference)
Source of truth, from the repository.
SeekLink
<!-- mcp-name: io.github.simonsysun/seeklink -->Status: paused. SeekLink is no longer actively maintained. For an actively-developed local Markdown search engine in the same space — local hybrid keyword + vector search, line-anchored results, CLI + MCP, multilingual — we recommend qmd.
SeekLink is a local semantic search CLI and optional read-only MCP stdio server
for Markdown vaults. It indexes a folder of .md files, searches with hybrid
keyword + vector retrieval, and returns line-anchored results that humans and
agents can read with simple shell commands.
It is built for personal knowledge bases, Obsidian-compatible vaults, bilingual
English/Chinese notes, and local agent workflows. MCP clients such as Claude
Code, Cursor, and VS Code can call the same read-only search/get/status/doctor
surface through seeklink[mcp]. It is also a useful search layer for Markdown
wiki patterns such as Andrej Karpathy's
llm-wiki:
an agent can search existing pages, read precise line windows, then update the
wiki without sending the vault to a hosted service.
Everything runs locally. No API key. No cloud search service. No Obsidian plugin required.
Install
uv tool install seeklink
# or
pip install seeklink
For Apple Silicon reranking support, install the optional MLX extra:
uv tool install "seeklink[mlx]"
# or
pip install "seeklink[mlx]"
For Model Context Protocol (MCP) clients such as Claude Code, Cursor, or VS Code, install the optional MCP extra:
uv tool install "seeklink[mcp]"
# or
pip install "seeklink[mcp]"
SeekLink requires Python's sqlite3 module to be linked against SQLite
3.45 or newer with FTS5 enabled. seeklink status --vault PATH checks this and
prints a clear error if the runtime SQLite is too old.
Quick Start
# 1. Build the index first.
seeklink index --vault /path/to/vault
# 2. Search it.
seeklink search "machine learning" --vault /path/to/vault
Daily use is simpler if you set a default vault:
export SEEKLINK_VAULT=/path/to/vault
seeklink index
seeklink search "agent memory systems"
seeklink get notes/agent-memory-patterns.md:1 -C 20
seeklink search and single-file seeklink index path/to/file.md use a
resident daemon when --vault is not passed. The daemon keeps the embedder and
optional reranker warm in memory; on macOS this appears as a local Python
process. It is local-only, uses a Unix socket, and does not open a network port
or call a cloud service. By default it exits after 15 minutes of inactivity.
Full-vault seeklink index runs in-process so progress stays on stderr and the
final Done: summary stays on stdout. seeklink status and seeklink get
always stay cold-start: status only reads SQLite metadata, and get reads the
file directly from disk. Use --no-daemon, SEEKLINK_NO_DAEMON=1, or an
explicit --vault PATH when a script needs a one-shot cold-start path.
MCP users follow the same first step: build the index with
seeklink index --vault PATH before registering the MCP server.
Output
Text search output is stable:
SCORE PATH[:LINE] TITLE
<content preview, one line, up to 120 chars>
PATHis relative to the vault root.LINEis 1-indexed and points to the best matching chunk in the current file.- Exit code is
0for success, including no results;1for runtime vault/config/file errors detected by SeekLink; and2for command-line usage errors from argument parsing. - Scores are useful for sorting within one query. Do not compare scores across reranker-enabled and reranker-disabled runs.
Use JSON when an agent needs structured output:
seeklink search "agent memory systems" --vault PATH --json
seeklink status --vault PATH --json
seeklink doctor --vault PATH --json
seeklink daemon status --json
Common Commands
Search
seeklink search "query" --vault PATH [options]
Options:
--top-k N Number of results. Default: 10.
--json Emit one machine-readable JSON object.
--tags TAG [TAG] Filter by tags. AND semantics.
--folder PREFIX Filter by vault-relative folder prefix.
--rerank-k N|auto Rerank candidate budget. Default: auto.
--no-rerank Skip cross-encoder reranking for this query.
--no-daemon Force an in-process search instead of using the daemon.
--title-weight F Override title/alias/heading channel weight. Default: 1.5.
Get
Read a precise file window without using the database or daemon:
seeklink get notes/spaced-repetition.md
seeklink get notes/spaced-repetition.md:12
seeklink get notes/spaced-repetition.md:12 -l 40
seeklink get notes/spaced-repetition.md:12 -C 20
-l/--lines prints lines starting at LINE. -C/--context prints lines before
and after LINE, grep-style. Path escapes such as ../.. are rejected.
Status
seeklink status --vault PATH
seeklink status --vault PATH --json
Status reports index counts, model names, index-configuration compatibility, SQLite WAL status, and freshness warnings. It does not load the embedding or reranking models.
Doctor
seeklink doctor --vault PATH
seeklink doctor --vault PATH --json
Doctor checks Python, SQLite, the local database, index compatibility, daemon state, and optional MLX availability. It does not download or load models, but may initialize the local SeekLink database/schema if missing.
MCP
The optional Model Context Protocol (MCP) adapter lets agent clients discover and call SeekLink's read-only tools directly. The CLI keeps working independently; MCP is another surface for the same retrieval path, not a replacement.
seeklink mcp --vault PATH
Install it with seeklink[mcp]. Build the index with the CLI first:
seeklink index --vault PATH. The MCP adapter is read-only and exposes four
tools: search, get, status, and doctor. It does not expose index,
write notes, use HTTP/OAuth, or route through the Unix-socket daemon. Run one
MCP server per vault. search keeps its text summary compact with paths and
line anchors; result previews stay in structured content for agents that need
them. status and doctor may initialize or migrate the local SeekLink schema
when an existing .seeklink/seeklink.db needs it, but they do not index or
modify Markdown notes. If your MCP client does not inherit your shell PATH,
use the absolute path from which seeklink in the examples below.
Claude Code:
claude mcp add --transport stdio --scope project seeklink \
-- seeklink mcp --vault /ABS/PATH/TO/VAULT
Cursor .cursor/mcp.json:
{
"mcpServers": {
"seeklink": {
"type": "stdio",
"command": "seeklink",
"args": ["mcp", "--vault", "/ABS/PATH/TO/VAULT"]
}
}
}
VS Code .vscode/mcp.json:
{
"servers": {
"seeklink": {
"type": "stdio",
"command": "seeklink",
"args": ["mcp", "--vault", "/ABS/PATH/TO/VAULT"]
}
}
}
Index
seeklink index --vault PATH
seeklink index path/to/file.md --vault PATH
Full-vault indexing skips unchanged files by content hash unless the stored index was built with a different embedder, vector dimension, or chunker configuration, in which case SeekLink rebuilds the derived index contents. Single-file indexing updates one Markdown file only when the existing index configuration is compatible.
Daemon
seeklink daemon status
seeklink daemon stop
seeklink daemon restart
seeklink daemon pid
seeklink daemon run --vault PATH
You normally do not need to start the daemon manually. search and single-file
index auto-spawn and auto-restart it when appropriate, then it exits after
SEEKLINK_DAEMON_IDLE_TIMEOUT seconds of inactivity. The default is 900 seconds
(15 minutes); set it to 0, off, false, or no to keep the daemon warm
until stopped.
Full-vault index still runs in-process for progress output. Passing --vault
to search or single-file index forces a one-shot cold-start path because the
daemon is bound to one vault at startup. --no-daemon and
SEEKLINK_NO_DAEMON=1 also force the same cold-start path. Use
seeklink daemon status to inspect the warm process and seeklink daemon stop
to release its memory immediately.
How Search Works
SeekLink fuses four channels with Reciprocal Rank Fusion:
| Channel | Purpose |
|---|---|
| BM25 / FTS5 | Exact words, code terms, acronyms, CJK lexical matches |
| Vector search | Semantic matches across different wording |
| Title / aliases / headings | Exact note and section lookup |
| Wikilink indegree | Small graph-quality prior from existing [[links]] |
The default embedder is jinaai/jina-embeddings-v2-base-zh through
fastembed. CJK full-text search uses a jieba FTS5 tokenizer when the local
Python/SQLite build can safely register it; otherwise SeekLink falls back to
SQLite's built-in trigram tokenizer instead of crashing.
The default vector dimension is 768. Advanced custom-embedder experiments can
set SEEKLINK_EMBEDDING_DIM, but it must match the embedder output and requires
a full seeklink index rebuild.
On Apple Silicon, SeekLink can rerank candidates with
mlx-community/Qwen3-Reranker-0.6B-mxfp8 when installed with seeklink[mlx].
Reranking is local and optional; if MLX is unavailable, SeekLink falls back to
first-stage hybrid RRF ranking. Use --no-rerank for one query or set
SEEKLINK_RERANKER_MODEL="" to disable it globally.
Frontmatter
Markdown frontmatter is optional. When present, SeekLink uses it for tags and aliases:
---
tags: [ai, memory]
aliases: [LLM memory, agent memory]
---
tagssupport filtered search:seeklink search "memory" --tags aialiasesare indexed for search and used when resolving wikilinks
Storage
SeekLink writes one SQLite database inside the vault:
/path/to/vault/.seeklink/seeklink.db
The database contains source metadata, chunks, FTS5 tables, sqlite-vec vectors,
and a wikilink graph. Delete .seeklink/ and run seeklink index to rebuild.
Supported
| Area | Status |
|---|---|
| Python | 3.11, 3.12, 3.13, 3.14 |
| SQLite | Python sqlite3 linked against SQLite 3.45+ with FTS5 |
| OS | macOS and Linux |
| Windows | Not supported as a first-class path |
| File format | Markdown .md |
| Vault style | Plain folder or Obsidian-compatible vault |
| CJK | Native path via jieba, with trigram fallback on static SQLite builds |
| Reranker | Optional seeklink[mlx] extra on Apple Silicon; disabled elsewhere |
| Daemon | Single vault per machine |
| MCP | Optional seeklink[mcp] stdio adapter, one server per vault |
Not For
- Hosted or synced multi-user search.
- Non-Markdown sources without conversion.
- A GUI or Obsidian plugin.
- Sub-millisecond search over millions of notes.
- Cloud embedding or reranking APIs.
Agent Notes
Agents can use SeekLink through ordinary subprocess calls:
seeklink status --vault PATH
seeklink index --vault PATH
seeklink search "query" --vault PATH --json
seeklink get PATH:LINE -C 20 --vault PATH
MCP clients can use the optional read-only adapter:
seeklink mcp --vault PATH
To make an agent choose SeekLink for a Markdown vault, add this to the
project's AGENTS.md, CLAUDE.md, or editor rules:
When you need to search or inspect this Markdown vault, use SeekLink for
semantic retrieval:
1. Run `seeklink status --vault PATH --json`.
2. If no index exists or files changed, run `seeklink index --vault PATH`.
3. Run `seeklink search "QUERY" --vault PATH --json`.
4. Read exact context with `seeklink get PATH:LINE -C 20 --vault PATH`.
If SeekLink is registered as an MCP server in this client, prefer the
`search`, `get`, `status`, and `doctor` MCP tools over shelling out to the CLI.
Prefer SeekLink for conceptual, cross-language, tag/folder-filtered, or
Obsidian-style note searches. Use rg for exact literal searches.
For hot loops, the daemon exposes a length-prefixed JSON protocol over the Unix
socket at ~/.rhizome/seeklink.sock. Most agents should prefer the CLI JSON
surface unless they specifically need socket-level latency.
See llms.txt for the compact agent contract.
Evaluation
Search-quality tests live in tests/blind/; the method is documented in
docs/blind-test.md. Release claims should be backed by
the bundled fixture queries or by clearly labeled private-vault measurements.
Contributing
git clone https://github.com/simonsysun/seeklink
cd seeklink
uv sync --dev
uv run python -m pytest tests/ -q
Keep runtime dependencies small, keep public docs user-facing, and add a
CHANGELOG.md entry for user-visible changes.
License
MIT
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