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Gramps Evidence

제작자: ianderso버전 2.3.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.ianderso/gramps-evidence-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Read/write a self-hosted Gramps Web family tree where every fact carries a citation.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 기타
  • 입력해야 할 값: GRAMPS_MCP_API_URL, GRAMPS_MCP_USERNAME, GRAMPS_MCP_PASSWORD, GRAMPS_MCP_TRANSKRIBUS_PASSWORD

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 직접 입력할 값: GRAMPS_MCP_API_URL, GRAMPS_MCP_USERNAME, GRAMPS_MCP_PASSWORD, GRAMPS_MCP_CONFIG, GRAMPS_MCP_EXPOSE_PRIVATE, GRAMPS_MCP_TRANSKRIBUS_USERNAME, GRAMPS_MCP_TRANSKRIBUS_PASSWORD, GRAMPS_MCP_TRANSKRIBUS_PAGE_BUDGET, GRAMPS_MCP_TRANSKRIBUS_API_URL

비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "gramps-evidence": {
      "command": "uvx",
      "args": [
        "gramps-evidence-mcp"
      ],
      "env": {
        "GRAMPS_MCP_API_URL": "your-value",
        "GRAMPS_MCP_USERNAME": "your-value",
        "GRAMPS_MCP_PASSWORD": "your-value",
        "GRAMPS_MCP_CONFIG": "your-value",
        "GRAMPS_MCP_EXPOSE_PRIVATE": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_USERNAME": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_PASSWORD": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_PAGE_BUDGET": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_API_URL": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add gramps-evidence --env GRAMPS_MCP_API_URL=your-value --env GRAMPS_MCP_USERNAME=your-value --env GRAMPS_MCP_PASSWORD=your-value --env GRAMPS_MCP_CONFIG=your-value --env GRAMPS_MCP_EXPOSE_PRIVATE=your-value --env GRAMPS_MCP_TRANSKRIBUS_USERNAME=your-value --env GRAMPS_MCP_TRANSKRIBUS_PASSWORD=your-value --env GRAMPS_MCP_TRANSKRIBUS_PAGE_BUDGET=your-value --env GRAMPS_MCP_TRANSKRIBUS_API_URL=your-value -- uvx gramps-evidence-mcp

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "gramps-evidence": {
      "command": "uvx",
      "args": [
        "gramps-evidence-mcp"
      ],
      "env": {
        "GRAMPS_MCP_API_URL": "your-value",
        "GRAMPS_MCP_USERNAME": "your-value",
        "GRAMPS_MCP_PASSWORD": "your-value",
        "GRAMPS_MCP_CONFIG": "your-value",
        "GRAMPS_MCP_EXPOSE_PRIVATE": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_USERNAME": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_PASSWORD": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_PAGE_BUDGET": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_API_URL": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "gramps-evidence": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "gramps-evidence-mcp"
      ],
      "env": {
        "GRAMPS_MCP_API_URL": "your-value",
        "GRAMPS_MCP_USERNAME": "your-value",
        "GRAMPS_MCP_PASSWORD": "your-value",
        "GRAMPS_MCP_CONFIG": "your-value",
        "GRAMPS_MCP_EXPOSE_PRIVATE": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_USERNAME": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_PASSWORD": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_PAGE_BUDGET": "your-value",
        "GRAMPS_MCP_TRANSKRIBUS_API_URL": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • GRAMPS_MCP_API_URL 필수 env
    Base URL of your Gramps Web API, e.g. http://gramps.example.org:5000.
  • GRAMPS_MCP_USERNAME 필수 env
    A dedicated Gramps Web user with at least the editor role.
  • GRAMPS_MCP_PASSWORD 비밀 필수 env
    That user's password.
  • GRAMPS_MCP_CONFIG env
    Absolute path to the TOML file listing reference GEDCOMs and the privacy setting.
  • GRAMPS_MCP_EXPOSE_PRIVATE env
    Set true to turn off living-person and private-record filtering of bulk output.
  • GRAMPS_MCP_TRANSKRIBUS_USERNAME env
    Optional. A Transkribus account (Scholar plan or above), for ocr_media's handwriting routes. Every page costs credits.
  • GRAMPS_MCP_TRANSKRIBUS_PASSWORD 비밀 env
    That Transkribus account's password.
  • GRAMPS_MCP_TRANSKRIBUS_PAGE_BUDGET env
    Pages a calendar month ocr_media may send to Transkribus without the caller's per-call spend_credits. 0 asks every time.
  • GRAMPS_MCP_TRANSKRIBUS_API_URL env
    Transkribus' processing API.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 ianderso 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 18594개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 18594개 중 61%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 18594개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Gramps Evidence, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

입력해야 할 값: GRAMPS_MCP_API_URL, GRAMPS_MCP_USERNAME, GRAMPS_MCP_PASSWORD, GRAMPS_MCP_TRANSKRIBUS_PASSWORD

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.3.0)은 29일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Commonly

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

제작자: formulahendry초기↓ 66/주★ 44014개월 전 업데이트

내 컴퓨터에서 실행

Remote Desktop Commander

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

제작자: desktop-commander성장 중★ 2113일 전 업데이트

클라우드에서 실행✓ desktopcommander.app

Commonly

Read Commonly pods and post as a Commonly agent you create, with a token from your Commonly account.

제작자: Team-Commonly성장 중↓ 4.9천/주오늘 업데이트

내 컴퓨터에서 실행

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

gramps-evidence-mcp

An MCP server that gives an AI assistant read/write access to a Gramps genealogy tree, plus a read-only "reference layer" over legacy GEDCOM exports.

97 tools, built around evidence discipline. The premise is that an assistant turned loose on a family tree will happily invent a plausible ancestor, so the write paths here are shaped to make every claim carry its source: facts are created with citations attached, uncite deletes what it orphans, parent-child links are cited independently because one citation object cannot carry two confidences, and an audit set — list_unsourced_facts, get_backlinks, find_duplicates, and server-side queries through query_objects and query_records — exists to find the places where that discipline slipped.

Legacy trees (Ancestry / FamilySearch exports) are consulted through the read-only reference layer as untrusted hints, never a source of truth.

The server is a REST client of [Gramps Web](https://www.grampsweb.org/) (`gramps-webapi`). It never touches the Gramps database files directly — see How it connects.

Living-person privacy filtering is on by default — see Privacy.

This is an independent project. It is not made, endorsed or supported by the Gramps project.


Contents

  • How it connects
  • Setup
  • Configuration
  • Client configuration
  • Remote access (Claude web / mobile)
  • The evidence model & transactions
  • Privacy
  • Tool reference
  • Reading documents: ocr_media
  • Reference layer (legacy GEDCOMs)
  • Worked example
  • Development
  • Limitations
  • Repository layout

How it connects

The server speaks HTTP to gramps-webapi and never opens the Gramps database files. The API server is the sole owner of the database, so this server and the Gramps Web frontend can both write without contending for the desktop app's exclusive lock. The package imports no gramps.gen.* module and needs no sys.path surgery.

One caveat: *side by side* means the Gramps Web frontend and this server, both talking to the same gramps-webapi. It does not mean pointing the Gramps desktop app at the same database file that gramps-webapi is serving -- that reintroduces the two-writer problem. Treat the Gramps Web tree as the source of truth and round-trip with the desktop app through export/import.

See docs/ARCHITECTURE.md for the layer breakdown.


Setup

You need a running Gramps Web instance, and uv to run the server.

Option A — you already run Gramps Web

If Gramps Web is already up anywhere you can reach, you don't need the bundled docker-compose. Just point the MCP at it:

  1. Note the API base URL, e.g. http://gramps.example.org:5000. The REST API lives under …/api.
  2. Create a dedicated MCP user with at least the editor role (writes need editor; owner also works). From a shell on the Gramps Web host / container:
   gramps-web user add mcp 'A_STRONG_PASSWORD' --fullname 'MCP client' --role 3

(On the official image the wrapper is gramps-web; the underlying command is python3 -m gramps_webapi user add ….)

  1. Put the URL + credentials in your environment (see Configuration).
Option B — run Gramps Web locally with the bundled compose

A ready-to-go stack is in docker/docker-compose.yml: SQLite backend, bind-mounted data and media directories (a plain directory tree you can copy or back up like any other), and host port 5555 → container 5000. Port 5555 avoids macOS's AirPlay Receiver, which occupies 5000.

docker compose -f docker/docker-compose.yml up -d

Then create the first owner (browser wizard at http://localhost:5555, or CLI) and the dedicated MCP editor user:

docker compose -f docker/docker-compose.yml exec grampsweb \

gramps-web user add owner 'OWNER_PW' --fullname 'Owner' --role 4 docker compose -f docker/docker-compose.yml exec grampsweb \ gramps-web user add mcp 'MCP_PW' --fullname 'MCP client' --role 3

The tree named by GRAMPSWEB_TREE (default MyTree) is created on first start.

Install the MCP server
uvx gramps-evidence-mcp

That runs the server over stdio, which is how an MCP client starts it. You normally put it in the client's configuration (below) rather than running it yourself.


Configuration

Secrets live in the environment; everything else in a TOML file. The TOML file therefore never contains credentials.

Environment variables

Set them in the client configuration, or in a .env file in the directory the server starts in (see .env.example). Real environment variables win over the file.

VarMeaning
GRAMPS_MCP_API_URLBase URL of gramps-webapi, e.g. http://gramps.example.org:5000
GRAMPS_MCP_USERNAMEThe dedicated MCP user
GRAMPS_MCP_PASSWORDIts password
GRAMPS_MCP_CONFIGPath to the TOML config (default ./gramps_mcp.toml, from the working directory)
GRAMPS_MCP_EXPOSE_PRIVATEOverride the TOML expose_private flag
GRAMPS_MCP_TRANSPORTstdio (default) or http — see Remote access
GRAMPS_MCP_HOST, GRAMPS_MCP_PORTWhere http listens (default 127.0.0.1:8090)
GRAMPS_MCP_TRANSKRIBUS_USERNAME, GRAMPS_MCP_TRANSKRIBUS_PASSWORDOptional. A Transkribus account (Scholar plan or above), for ocr_media's handwriting routes. Both or neither. See Reading documents
GRAMPS_MCP_TRANSKRIBUS_PAGE_BUDGETPages a calendar month ocr_media may send to Transkribus without the caller's per-call spend_credits. Default 0: every page asks
GRAMPS_MCP_TRANSKRIBUS_API_URLTranskribus' processing API (default https://transkribus.eu/processing/v1, Metagrapho v1)
TOML file (see gramps_mcp.example.toml)
[server]

expose_private = false # see Privacy below

[[reference]] path = "~/gedcoms/export_one.ged" label = "Ancestry (one branch)" trust = "User-built; many hints unsourced. Verify everything."

A desktop client starts the server in a directory of its own choosing, so give GRAMPS_MCP_CONFIG as an absolute path.


Client configuration

Claude Desktop — add to claude_desktop_config.json (on macOS, ~/Library/Application Support/Claude/):

{

"mcpServers": { "gramps": { "command": "uvx", "args": ["gramps-evidence-mcp"], "env": { "GRAMPS_MCP_API_URL": "http://gramps.example.org:5000", "GRAMPS_MCP_USERNAME": "mcp", "GRAMPS_MCP_PASSWORD": "MCP_PW", "GRAMPS_MCP_CONFIG": "/path/to/gramps_mcp.toml" } } } }

Claude Code:

claude mcp add gramps \

-e GRAMPS_MCP_API_URL=http://gramps.example.org:5000 \ -e GRAMPS_MCP_USERNAME=mcp -e GRAMPS_MCP_PASSWORD=MCP_PW \ -e GRAMPS_MCP_CONFIG=/path/to/gramps_mcp.toml \ -- uvx gramps-evidence-mcp

Any other MCP client that launches stdio servers works the same way: the command is uvx gramps-evidence-mcp, with the variables above in its environment. Restart the client after editing its configuration.

To run from a clone instead, replace uvx gramps-evidence-mcp with uv --directory /path/to/gramps-evidence-mcp run gramps-evidence-mcp.


Remote access (Claude web / mobile)

The configuration above uses the stdio transport: the client launches the server as a local subprocess. Claude web (claude.ai) and the mobile apps can't do that — they connect to a remote server over HTTPS using the *Streamable HTTP* transport, added as a Custom Connector. Three differences to plan for:

  1. Transport must be HTTP, not stdio.
  2. Reachability — Anthropic's servers dial *out* to yours, so it needs a public HTTPS URL. A LAN address like http://192.168.1.50:5000 won't work.
  3. Auth — it's write access to a database of living relatives, so it must sit behind authentication. The server has none of its own. Never expose it authless.

If you don't specifically need a browser/phone, **a desktop client already

gives you the same models with this server working locally** (stdio, no

public exposure). The steps below are only for genuine remote access.

1. Serve it over HTTP
GRAMPS_MCP_TRANSPORT=http uvx gramps-evidence-mcp

That serves the MCP endpoint at http://127.0.0.1:8090/mcp; GRAMPS_MCP_HOST and GRAMPS_MCP_PORT change where. The other GRAMPS_MCP_* variables apply as before.

Bound to a loopback address, the server accepts only requests whose Host is localhost or 127.0.0.1 — the MCP SDK's protection against DNS rebinding. A tunnel or proxy on the same machine must therefore send Host: localhost (cloudflared's httpHostHeader setting does this). In a container, bind 0.0.0.0 instead, as below, and let the container network do the isolating.

2. Deploy it next to Gramps Web

Run it in a container on the same host as Gramps Web so it talks to the API over the internal network. A minimal Dockerfile:

FROM python:3.13-slim

RUN pip install uv ENV GRAMPS_MCP_TRANSPORT=http GRAMPS_MCP_HOST=0.0.0.0 GRAMPS_MCP_PORT=8090 EXPOSE 8090 CMD ["uvx", "gramps-evidence-mcp"]

Add it to your Gramps Web compose (same network), pointing at the API by service name and reading secrets from the environment:

  gramps_evidence_mcp:

build: /path/to/dockerfile-dir restart: unless-stopped environment: GRAMPS_MCP_API_URL: "http://grampsweb:5000" # internal service name GRAMPS_MCP_USERNAME: "mcp" GRAMPS_MCP_PASSWORD: "${MCP_PW}"

no host port needed if the tunnel (below) runs in the same compose network

3. Expose it publicly with TLS

A reverse tunnel avoids port-forwarding and gives you TLS and a stable hostname. Any of these work:

  • Cloudflare Tunnel — run cloudflared alongside the server and route a hostname such as https://gramps-mcp.example.org → http://gramps_evidence_mcp:8090.
  • Tailscale Funnel — public HTTPS over your own tailnet.
  • ngrok http 8090 for a quick throwaway test.

Or terminate TLS yourself with any reverse proxy in front of port 8090.

4. Put auth in front

claude.ai custom connectors speak the MCP OAuth 2.0 flow. Put an identity proxy in front of the tunnel hostname — Cloudflare Access, Authelia, oauth2-proxy and similar all tie into the OAuth flow the connector expects. The server does not authenticate callers itself; see docs/ROADMAP.md.

5. Add the connector in claude.ai

Settings → Connectors → Add custom connector → paste https://gramps-mcp.example.org/mcp, complete the auth prompt, and the 97 tools appear in chat. (Custom connectors require a paid Claude plan; on Team/Enterprise an admin may need to enable them.)

Security reminder: this endpoint can create, edit, and delete records in a tree containing living people. Keep it behind auth, prefer a private tunnel over an open port, and consider a Gramps Web user with a read-only role if you only need lookups r

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