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PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

EDGAR 13F point-in-time

作者:Serios16バージョン 1.2.2i★ –iパソコンで動く
レジストリ名io.github.Serios16/edgar13f-mcp

インストール

概要

作者による説明(英語の原文)

SEC Form 13F holdings as they could have been known on a given date (stdio).

PopNx MCPの3つの柱

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。

できること

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。

  • 接続方法: パソコンで動く
  • トランスポート: stdio
  • カテゴリ: その他
  • 入力が必要なもの:SEC_USER_AGENT

インストール

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。

インストールの前に

  • 基本チェック:1項目中1項目に合格
  • あなたのパソコンで、あなたのユーザーと同じ権限(ファイル、ネットワーク、アプリ)で動きます。
  • 自分で入力するもの: SEC_USER_AGENT, EDGAR13F_AGENT_MODE, EDGAR13F_CACHE_DIR

必要なもの

  • PyPIPythonのuvのインストール(uvxコマンドに必要)

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": {
    "edgar13f": {
      "command": "uvx",
      "args": [
        "edgar13f-mcp"
      ],
      "env": {
        "SEC_USER_AGENT": "your-value",
        "EDGAR13F_AGENT_MODE": "your-value",
        "EDGAR13F_CACHE_DIR": "your-value"
      }
    }
  }
}

ターミナルでこれを実行します

claude mcp add edgar13f --env SEC_USER_AGENT=your-value --env EDGAR13F_AGENT_MODE=your-value --env EDGAR13F_CACHE_DIR=your-value -- uvx edgar13f-mcp

動かす前に、空欄の値を入力してください。

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "mcpServers": {
    "edgar13f": {
      "command": "uvx",
      "args": [
        "edgar13f-mcp"
      ],
      "env": {
        "SEC_USER_AGENT": "your-value",
        "EDGAR13F_AGENT_MODE": "your-value",
        "EDGAR13F_CACHE_DIR": "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。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "servers": {
    "edgar13f": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "edgar13f-mcp"
      ],
      "env": {
        "SEC_USER_AGENT": "your-value",
        "EDGAR13F_AGENT_MODE": "your-value",
        "EDGAR13F_CACHE_DIR": "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。

自分で入力する値

  • SEC_USER_AGENT 必須 env
    User-Agent sent to sec.gov, e.g. 'Your Name your.email@example.com' (SEC fair access).
  • EDGAR13F_AGENT_MODE env
    'on' caps unnarrowed holdings/diff answers at 50 positions (auto_limited: true).
  • EDGAR13F_CACHE_DIR env
    On-disk cache directory (default: $XDG_CACHE_HOME/edgar13f or ~/.cache/edgar13f).

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。

できること

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。

基本チェックi

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7日にチェック

  • ✓ 合格

    作者とリポジトリが一致

    レジストリ名は、リポジトリを所有するGitHubアカウント Serios16 で確認済みです

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • – 対象外

    エンドポイントが応答する

    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

  • – 対象外

    OAuthでサインイン

    パソコンで動き、代わりにローカルの設定を使います

  • … 未チェック

    ツールの説明に隠れた指示がない

    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

その他のほかのサーバーとの比較i

  • このカテゴリのほかの32683件のうち0%よりスターが多い
  • このカテゴリのほかの32683件のうち71%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの32683件のうち100%と同じかそれ以上

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。

よくある質問

EDGAR 13F point-in-timeは安全ですか?

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。

どんなキーやコードが必要ですか?

入力が必要なもの:SEC_USER_AGENT

パソコンで動きますか、それともクラウドですか?

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)。

今もメンテナンスされていますか?

GitHubリポジトリの最終更新は–、最新バージョン(1.2.2)がレジストリに届いたのは15 日前です。

どのアプリで使えますか?

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。

代わりに使えるものは?

同じカテゴリには:Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper

代わりの候補

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

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

クラウドで動く★ 211一昨日更新
インストール

作者のREADME

READMEを開く

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。

edgar13f-mcp

An MCP server that answers questions about SEC Form 13F holdings as they could have been known on a given date. It comes with an evaluation that was frozen before the server was written.

What it does, and why point-in-time matters

Institutional managers with US$100m or more in 13F securities file Form 13F every quarter, up to 45 days after the quarter ends. Many of them later amend the report. A restatement replaces the whole report. A new-holdings amendment adds rows to it. So "what did manager X hold at 2024-12-31?" has different correct answers on different days: nothing before the filing date, then the original report, and later the amended one.

A tool that always returns the latest version leaks the future into backtests, research notes and agent answers. This server takes an as_of date with every call and follows two rules (full text in contracts/CONTRACTS.md):

  • Visibility (§3): a filing is visible on as_of only if its EDGAR filing date is on or before as_of. Nothing filed later affects the answer: not the rows, the citations, the filing list, or which filing counts as "latest".
  • Amendments (§4): the visible filings for the period are put in order. The base is the last original or restatement. Every later new-holdings amendment is added to it. Each row cites the filing it came from.

Install and run

Python 3.11, with the official MCP Python SDK 2.x. The server speaks MCP over stdio only.

One command (needs uv). The package is edgar13f-mcp on PyPI, uploaded by this repository's release workflow with trusted publishing, and listed in the official MCP Registry as io.github.Serios16/edgar13f-mcp:

export SEC_USER_AGENT="Your Name your.email@example.com"   # required by SEC fair access

uvx --python 3.11 edgar13f-mcp # pin a release: edgar13f-mcp@1.2.2

For an MCP client such as Claude Desktop:

{"mcpServers": {"edgar13f": {

"command": "uvx", "args": ["--python", "3.11", "edgar13f-mcp"], "env": {"SEC_USER_AGENT": "Your Name your.email@example.com"}}}}

Any commit or tag also runs straight from GitHub: uvx --python 3.11 --from git+https://github.com/Serios16/edgar13f-mcp@v1.2.2 edgar13f-mcp. The older command name edgar13f-server still works. Both names are tested on the built wheel by tests/tools/install_smoke.sh (empty uv cache, MCP handshake; output in reports/artifacts/install_smoke_stage6.txt). From a clone instead:

python3.11 -m venv .venv && . .venv/bin/activate

pip install -e . export SEC_USER_AGENT="Your Name your.email@example.com" # required by SEC fair access python -m edgar13f.server # or: edgar13f-server

Environment variables:

  • SEC_USER_AGENT: the User-Agent sent to sec.gov. It is required; without it the server does not contact sec.gov.
  • EDGAR13F_CACHE_DIR: the on-disk cache. The default is $XDG_CACHE_HOME/edgar13f (or ~/.cache/edgar13f), then a private per-user temp dir. The server writes nowhere else.
  • EDGAR13F_REDACT: set to exactly off to return the rows that are redacted by default (see Limits). Any other value, or none, keeps redaction on.
  • EDGAR13F_AGENT_MODE: set to exactly on to cap unnarrowed holdings and diff answers at the 50 largest positions (see Agent use). Unset, every v1 call answers byte for byte as in v1.1.0.
  • EDGAR13F_FIXTURE_DIR: serve recorded fixtures instead of EDGAR (used by the tests; refused together with EDGAR13F_REDACT=off).

SEC access follows the fair-access policy. Across processes that share a cache dir, request starts are spaced at least 0.25 s apart (under 5 per second). 403/429/5xx responses and HTML error pages trigger exponential backoff. Responses are cached on disk.

The tools

ToolReturns
find_manager(name, as_of)CIK candidates whose current or former EDGAR name contains name, managers with 13F filings first. entity_name is EDGAR's current name (not point-in-time); with as_of, has_13f_filings counts only 13F filings dated on or before it.
list_13f_filings(cik, as_of[, period])Every 13F-HR, 13F-HR/A, 13F-NT and 13F-NT/A filed by the manager on or before as_of (only those for period if given), with period, amendment number and type, report type, manager name and an EDGAR link.
get_holdings_as_of(cik, period, as_of, cusip, max_positions)The effective holdings for one quarter as known on as_of, row by row as filed (no merging or rescaling). It cites the base filing and every applied amendment.
diff_holdings(cik, period_a, period_b, as_of, cusip[, max_positions])Position changes between two quarters, both resolved on the same as_of, keyed by (CUSIP, put/call, SH/PRN): added, removed, increased, decreased or unchanged.

find_manager, period, issuer and max_positions come from Addendum A (additive: a call that uses none of them gets exactly the v1.1.0 answer).

Every response is a JSON object with the disclaimer *"13F reports long positions only; data may lag the period end by up to 45 days."* When the server cannot answer, it returns a normal result with status: "declined" and one of six reasons: unknown_cik, not_yet_filed, notice_only, invalid_period, invalid_argument, unsupported_request.

Agent use (Addendum A)

The extensions are meant for LLM agents, which usually start from a name and cannot read a 40 MB answer. A typical sequence:

// 1. name -> CIK (managers that have filed Form 13F come first)

{"tool": "find_manager", "arguments": {"name": "berkshire hathaway", "as_of": "2025-08-27"}} // 2. which filings make up one quarter, as of a date {"tool": "list_13f_filings", "arguments": {"cik": "1067983", "as_of": "2025-08-27", "period": "2025-03-31"}} // 3. one issuer only; the answer adds matched_cusips {"tool": "get_holdings_as_of", "arguments": {"cik": "1067983", "period": "2025-03-31", "as_of": "2025-08-27", "issuer": "apple"}} // 4. the 10 largest positions; the answer adds total_positions, truncated and order {"tool": "get_holdings_as_of", "arguments": {"cik": "1067983", "period": "2025-03-31", "as_of": "2025-08-27", "max_positions": 10}} // 5. the 20 largest changes by |value_delta| {"tool": "diff_holdings", "arguments": {"cik": "1067983", "period_a": "2024-12-31", "period_b": "2025-03-31", "as_of": "2025-08-27", "max_positions": 20}}

  • issuer (2-100 characters) keeps rows whose issuer name contains it, ignoring case and runs of whitespace; it combines with cusip as AND.
  • max_positions (1-200) ranks positions, i.e. (CUSIP, put/call, SH/PRN) groups, by summed value (holdings) or by |value_delta| (diff), and returns the top ones with all their rows. A position is never split, so a manager that files many rows per position can still return many rows; use issuer or cusip for one security.
  • The new parameters only filter or order rows. Citations (accession_number, source_accessions, filing_date) and point-in-time behaviour are unchanged, and redaction happens before any filter.
  • find_manager matches every current and former EDGAR name, returns EDGAR's current name, and is therefore not point-in-time for names. Its first call on an empty cache reads EDGAR's quarterly form indexes since 1993 (about a minute, once per cache directory); later calls take milliseconds.

With EDGAR13F_AGENT_MODE=on, a get_holdings_as_of or diff_holdings call that has none of cusip, issuer or max_positions is answered as if max_positions were 50, and the answer adds auto_limited: true. Every other call is unaffected. MCP client config:

{"mcpServers": {"edgar13f": {

"command": "uvx", "args": ["--python", "3.11", "edgar13f-mcp"], "env": {"SEC_USER_AGENT": "Your Name your.email@example.com", "EDGAR13F_AGENT_MODE": "on"}}}}

Limits

  • Long positions only. Form 13F has no short positions, so position_type other than "long" is declined.
  • Lag. Reports are due up to 45 days after quarter end, and amendments can arrive months later. An answer is only as current as what was filed by as_of.
  • Redaction. By default, rows for gold ETFs/trusts, US energy-sector ETFs, S&P 500 index funds/ETFs, and UCITS copies of these are removed when the information table is parsed, because the author keeps a separate study blind to these instruments. They are then never returned, cached or logged. Matching uses issuer-name and title patterns plus a CUSIP list, and deliberately errs toward removing too much. Some ordinary securities are dropped too. Two concrete cases cost graded points: every "SPDR S&P ..." fund (any SPDR fund that names S&P, not only S&P 500 ones), and bonds of issuers named like a trust or fund whose class title carries a ".500" coupon (e.g. "5.500% NOTES"). An energy company whose class title says "UNIT" is another. Ruling D2 forbids narrowing the list to recover such points. A query for a removed CUSIP returns ok with no rows. Redaction applies to holdings rows; find_manager returns entity names unfiltered (ruling N1). To switch redaction off, set EDGAR13F_REDACT=off (exactly off); rows read that way are cached in a separate directory and never served once redaction is back on. See CLAUDE.md rule 2 and ruling D2 in REGISTER.md.
  • The server does not cover pre-2013 text-format 13F filings, and it has no prices, charts or performance figures.

How it is evaluated

  • Hidden, frozen grader. The gold sets, leakage set and grader were frozen in a separate private repository before any server code existed. The builder cannot read or write that repository. contracts/PREREG_COMMITMENT.md holds the SHA-256 of that repository's manifest and of the contract files copied here. Everything will be published after the final stage so the hash can be checked.
  • Gold sets: 40 curated items and 700 generated items, stratified by case type (for example the day before and the day of a restatement), plus 3,114 leakage cases.
  • Beyond the gates, the private repository also holds, each pre-registered before it ran: an out-of-sample set, an evaluation with an LLM agent in the loop, a diagnostic re-run of that evaluation, and a live capture around the Q3 2026 filing deadline (results below).
  • Controls in this repository. They run in CI on every push, offline; the tests refuse sockets:
  • a leakage suite with a *mutant* control (visibility check disabled; it must find violations, also for every Addendum A parameter and find_manager(as_of)) and a *no-op* control;
  • blocklist proofs on synthetic rows, with a planted failure;
  • an exhaustive check of the §4 amendment rules against an independent oracle, killed by each planted rule mutation (tests/unit/test_restatement.py);
  • size, map and claims checks, each with a planted failure.
  • OS-level isolation. CI runs the server as a separate unprivileged OS user from a read-only copy of the checkout. The job fails if that user creates any file or directory outside the expected cache dir, and a planted stray write must be caught (tests/tools/unprivileged_probe.sh).
  • External cross-check (test time only). tests/tools/datasets_crosscheck.py compares answers for randomly sampled (cik, period, as_of) triples against the SEC Form 13F Data Sets. The server never reads the data sets.
Gate resul

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

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