Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
MCP gateway: bounded tool shortlists + artifact-backed result firewall. Deterministic, no model.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"contextweaver": {
"command": "uvx",
"args": [
"contextweaver",
"mcp",
"serve",
"--config",
"your-value"
]
}
}
}ターミナルでこれを実行します
claude mcp add contextweaver -- uvx contextweaver mcp serve --config your-valueこのサーバーは起動コマンドに値を入れる必要があるので、設定をコピーして入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"contextweaver": {
"command": "uvx",
"args": [
"contextweaver",
"mcp",
"serve",
"--config",
"your-value"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
このサーバーは起動コマンドに値を入れる必要があるので、設定をコピーして入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"contextweaver": {
"type": "stdio",
"command": "uvx",
"args": [
"contextweaver",
"mcp",
"serve",
"--config",
"your-value"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント dgenio で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.18.2)がレジストリに届いたのは2 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Apify MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Capture an agent's effective capability surface, commit it, and see semantically meaningful changes before deployment.
ContextWeaver is currently testing a deliberately narrow product hypothesis: capability snapshot + semantic drift.
Given an OpenAPI document, a captured MCP tools/list response, or a native ContextWeaver catalog, the D1 experiment produces a deterministic normalized snapshot that you can inspect, verify, and compare with a later candidate. It does not require a model account, a gateway, a tool executor, or the Weaver Stack.
Status: alpha, and specifically a product experiment. The implementation works and is tested; the user-value hypothesis is not yet proven. The project is actively measuring whether independent users keep this workflow after trying it on real projects.
Clone the repository and install that checkout so the maintained example fixtures and the code under evaluation are guaranteed to match:
Commands below use python3, matching the repository's documented default (docs/agent-context/workflows.md). On Windows installations that expose Python through the launcher, replace python3 with py -3; if your environment already exposes the intended interpreter as python, use that consistently.
git clone --depth 1 https://github.com/dgenio/contextweaver.git
cd contextweaver python3 -m pip install .
Run the maintained OpenAPI example:
python3 -m contextweaver.d1 snapshot examples/d1/openapi_before.json --source-type openapi --output ./cw-before.json
python3 -m contextweaver.d1 snapshot examples/d1/openapi_after.json --source-type openapi --output ./cw-after.json python3 -m contextweaver.d1 inspect ./cw-after.json python3 -m contextweaver.d1 verify ./cw-after.json python3 -m contextweaver.d1 diff ./cw-before.json ./cw-after.json
The candidate fixture intentionally:
customer_id required on the existing listInvoices capability;getInvoice capability.The diff separates capability additions/removals from changes to an existing logical capability and reports the structured paths that changed. Contract changes are separated from documentation-only changes. Changes involving fields such as required, type, or enum are flagged as potentially breaking for review.
That flag is intentionally conservative: ContextWeaver does not claim to be a complete JSON-Schema compatibility checker.
Full walkthrough: Capability drift experiment.
python3 -m contextweaver.d1 snapshot ./openapi.yaml --source-type openapi --output ./capabilities.json
python3 -m contextweaver.d1 verify ./capabilities.json
After the API changes:
python3 -m contextweaver.d1 snapshot ./openapi.yaml --source-type openapi --output ./capabilities-candidate.json
python3 -m contextweaver.d1 diff ./capabilities.json ./capabilities-candidate.json
If you already have an MCP tools/list response saved as JSON:
python3 -m contextweaver.d1 snapshot ./tools-list.json \
--source-type mcp \ --output ./capabilities.json
For MCP, D1 compares tools by their upstream logical name so an input-schema edit appears as a change to the same capability rather than an unexplained remove/add pair. The historical schema-sensitive routing ID is retained separately as normalized_id for inspection.
Capturing a live MCP server is a separate operation. snapshot, inspect, diff, and verify do not execute discovered capabilities.
python3 -m contextweaver.d1 snapshot ./catalog.json \
--source-type native \ --output ./capabilities.json
verify meansverify checks the D1 snapshot contract: structure, deterministic ordering, logical-ID uniqueness, and the canonical capability digest.
It is not:
A negative answer is useful evidence for this project. Do not add ContextWeaver just because capability snapshots sound tidy.
Use something simpler when:
If you try D1 and conclude that Git/tests are cheaper, that is a valid product result — please say so.
The current survival experiment asks a stronger question than whether the code works:
Do capability snapshots and semantic drift reports improve a real
review/manual/risk process enough that independent users keep them?
The project distinguishes:
qualified exposure
-> understood the problem -> chose to evaluate -> attempted setup -> reached first useful output -> used on a real project -> retained independently / removed
Stars, forks, downloads, a successful demo, and maintainer-created integrations are not treated as retained adoption.
The controlling product decision is tracked in #758, and the distribution quality gate is #855. Unassisted first success and retention are tracked in #658 and genuine adoption in #551.
ContextWeaver already contains substantial historical runtime functionality. That code still exists and currently shipped behavior should remain truthful and safe, but existing implementation is not evidence that the project should keep expanding it.
Two broader hypotheses are explicitly evidence-first:
During the D1 experiment, the project is not expanding routing sophistication, runtime bundle machinery, memory/session surfaces, framework breadth, gateway scope, vector stores, or model-assisted enrichment without a concrete external blocker or approved falsification experiment.
If you are maintaining an existing integration that uses those historical surfaces, the relevant documentation remains available:
The D1 implementation supports scoped engineering claims such as deterministic snapshot construction under the documented source/adapter contract and structured semantic-diff output. It does not yet support the stronger claim that users need or retain the product.
The historical token-reduction headline is intentionally not used to sell D1. The current evidence-integrity work for those older benchmark claims is tracked in #841.
See Claims & evidence for the claim registry and Capability drift experiment for the exact D1 contract and limitations.
D1 is intentionally exposed through:
python3 -m contextweaver.d1 ...
rather than being promoted immediately into the historical top-level CLI or a large new public Python API. That is deliberate. The experiment should earn a permanent surface through real retained use before the project takes on another compatibility obligation.
ContextWeaver can be used standalone. It has no hard dependency on the sibling Weaver projects.
The wider Weaver Stack contains adjacent experiments/components for planning, execution boundaries, guardrails, lessons, and evaluation. That ecosystem is not required to evaluate D1, and Stack coherence is not a reason to preserve a ContextWeaver feature that does not justify itself independently.
See the Ecosystem map only if you actually need those adjacent responsibilities.
pip install contextweaver
Python 3.10–3.14 are covered by the repository CI matrix.
Current package version: 0.18.2
| Project | Release |
|---|---|
| ContextWeaver (this repo, v0.18.2) | current package release |
The repository is pre-1.0. Prefer the latest supported patch release for bug and security fixes, and check the changelog before relying on historical runtime APIs.
The roadmap is intentionally a product-decision sequence, not a feature queue.
| Milestone | Status | Meaning |
|---|---|---|
| v0.18.1 — D1 survival experiment baseline | ✅ complete | Offline snapshot/inspect/diff/verify exists; user value remains unverified. |
| v0.18.2 | ✅ current (v0.18.2) | D1 survival experiment and release-path recovery |
| D1 distribution gate | 🔬 evidence first | Make the front door understandable, recruit qualified evaluators, measure first success and retention. |
| D1 decision | ⏸ next decision | Continue, shrink further, or kill based on retained value after competent distribution. |
| D2 / D3 | 🧪 conditional | Run only if D1 evidence or independent problem discovery justifies bounded falsification experiments. |
A green CI run does not advance this roadmap by itself.
The most valuable contributions during the survival experiment are narrow and evidence-linked:
Please do not add a framework adapter, routing policy, storage backend, runtime phase, or ecosystem integration solely for completeness.
See CONTRIBUTING.md and AGENTS.md for repository engineering conventions.
See SECURITY.md for supported-ve
冒頭だけを表示しています。続きはリポジトリで読めます