Black Window weave

blackwindow-weave-mcp

Semantic search over the folders on your machine, for any MCP client. The server cuts source code and documentation into passages, embeds them with Motherlode, a 33M-parameter code-search encoder, on your CPU, and answers questions such as "where is a pairing line parsed into url, key and name" with file paths, line ranges and the passages themselves.

The only network requests are to huggingface.co on the first run: six requests, which leave five files, 133,752,819 bytes, in the cache. With the files cached, a run makes none.

This is the weave from Black Window and the Sunstone VS Code extension, packaged for clients that speak the Model Context Protocol.

Add it to a client

Claude Code:

claude mcp add weave -- npx -y blackwindow-weave-mcp --folder /path/to/your/repo

VS Code, in .vscode/mcp.json:

{  "servers": {    "weave": { "type": "stdio", "command": "npx", "args": ["-y", "blackwindow-weave-mcp", "--folder", "${workspaceFolder}"] }  }}

Cursor, Claude Desktop, Windsurf and most other clients:

{  "mcpServers": {    "weave": { "command": "npx", "args": ["-y", "blackwindow-weave-mcp", "--folder", "/path/to/your/repo"] }  }}

To run from this repository instead of npm, replace blackwindow-weave-mcp in the arguments with github:space-bacon/blackwindow-weave-mcp. Node 20 or later is required.

Tools

Measured

On an Apple M2 Ultra (24 CPU cores, Node 24.4.1), through the MCP SDK's own stdio client, in test/smoke.mjs:

Embedding runs at about 68 passages a second on that machine, so a repository of 10,000 passages takes about two and a half minutes the first time. Those figures are one run each on one machine. The smoke test's three questions about this package's own source each return the expected file first; they are a check that the pieces are wired together, not a measure of retrieval quality. For retrieval quality see the model card.

How it works

• Files. A git work tree is listed by git, so .gitignore holds. Any other folder is walked, skipping node_modules, build output, virtual environments, lock files and minified files. Files over 1 MB and files that read as binary are skipped. JSON and XML are left out: in the Sunstone repository, result files under bench/results/ took ranks 2 and 3 of the question above when they were included.
• Passages. Code is cut at definitions into passages of about 700 characters, each labelled with the nearest definition. Prose is cut at paragraphs and sentences into passages of about 420 characters. The chunkers are Black Window's.
• Encoder. onnx/model.onnx (fp32) through transformers.js and ONNX Runtime on the CPU, CLS pooling.
• Centring. Every vector has the model's shipped mean (centring/mean_shipped.json) subtracted and is brought back to unit length, so a score is a cosine after centring.
• Search. Exact: every passage is scored. Before answering, a folder not checked in the last 30 s is brought up to date if fewer than 200 of its files changed; otherwise the answer says the index is stale.
• Index. One per folder under <cache>/index/: a Float32 matrix and a JSONL of passages, named by a manifest that is written to a temporary file and renamed into place, so an interrupted write leaves the previous index. An index that cannot be read is moved aside rather than overwritten.

Licence

Business Source License 1.1 with an internal-use grant. You may use it for any internal purpose, including commercial development on your own or your employer's code, with no limit on seats. You may not offer it to others as a hosted search service or ship it inside a product you supply. On 15 September 2030 it becomes Apache-2.0. The encoder is downloaded under its own licence, which has the same shape. For other terms, write to [email protected].