Gedfire
What it does
GEDCOM CLI and MCP server for AI-assisted family-history research with reviewable changesets.
- Connects 在你的电脑上运行
- Account or key No key needed
- Category 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
打开电脑版 Claude 应用的设置文件
SettingsDeveloperEdit Config
粘贴这些设置并保存文件
{ "mcpServers": { "gedfire": { "command": "dnx", "args": [ "GedFire", "--yes" ] } } }退出 Claude 再重新打开
试一试
用 Gedfire 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Gedfire,或回答中出现 Gedfire 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Gedfire
Gedfire 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
你可以改用这些方式
可连接 Claude Code,但需要先准备
不需要密钥,不用安装程序
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --scope user gedfire -- dnx GedFire --yes在 Claude Code 中输入 /mcp
应能看到 Gedfire 在列表中并显示已连接
试一试
用 Gedfire 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Gedfire,或回答中出现 Gedfire 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
不需要密钥,不用安装程序
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 Gedfire 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Gedfire,或回答中出现 Gedfire 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
不需要密钥,不用安装程序
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 Gedfire 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Gedfire,或回答中出现 Gedfire 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
开发者专用:终端命令和 JSON 设置
安装在电脑上
Claude Code
claude mcp add --scope user gedfire -- dnx GedFire --yesClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"gedfire": {
"command": "dnx",
"args": [
"GedFire",
"--yes"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"gedfire": {
"command": "dnx",
"args": [
"GedFire",
"--yes"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"gedfire": {
"type": "stdio",
"command": "dnx",
"args": [
"GedFire",
"--yes"
]
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它能做什么
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 morrillonline 验证,该账户拥有此仓库
- ✓ 通过
仍在维护
代码最后更新于今天
- ✓ 通过
有许可证
使用 MIT
- – 不适用
端点有响应
它在你的电脑上运行,没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行,改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行;我们只能读取互联网端点的工具列表
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 6110 个服务器的 76%
- 发布到注册中心的时间比此分类中其他 6110 个服务器的 38% 更新
- 基础检查结果等于或优于此分类中其他 6110 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Gedfire 安全吗?
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
它还在维护吗?
GitHub 仓库最后更新于今天,最新版本(4.1.7)于2个月前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 .NET。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, OpenSEO
同类别的其他选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
GedFire
Give an AI agent genealogy tools, not a text editor for your GEDCOM.
GedFire is a local Model Context Protocol (MCP) server and command-line tool. It helps an agent find people, compare records, draft cited changes, and validate them before writing your family history. It also generates static family-page websites from the same data.
GedFire supports local MCP mode only, using stdio (standard input/output). Your MCP client launches the installed executable as a local process. There is no remote HTTP, Streamable HTTP or SSE transport, server URL, or listening port. This describes the MCP connection, not where your client's AI model runs.
historical records -> findings -> changesets -> review -> GEDCOM -> website
GedFire handles the mechanics. You and your reviewer judge the evidence. The server exposes nineteen typed tools; only apply_changeset can modify the bound GEDCOM. Other tools can write drafts and reports to separate files. Review and permission limits matter: GedFire validates changes, but it does not collect or authenticate your approval.
Quick start
Install with the .NET 10 SDK:
dotnet tool install --global GedFire
gedfire --version
Or download a self-contained release without installing .NET.
Start with a copy of your GEDCOM. Configure your MCP client to launch:
gedfire mcp --input "C:\Genealogy\family.ged" --read-only --enforce-privacy
Replace the input path with your file's absolute path. Let the client launch the local stdio server rather than running a second copy in a terminal; it communicates through the process streams, not a network connection.
Ask your agent: "How many people and families are in this file?" It should call get_document_stats and report both counts.
--read-only blocks GEDCOM changes, not drafting or report files. --enforce-privacy masks protected and plausibly living individuals in tool output. Keep both flags until you understand the safety and privacy limits.
Try the fictional demo
Browse the generated family pages. CI rebuilds this site from the fictional Ash family on every push. Hover over the footnotes to read each fact's citations.
To run the demo yourself, download or clone this repository. From its root:
Copy-Item docs\demo\ash-whitfield.ged family.ged
gedfire apply --input family.ged --changes docs\demo\proposed-findings.json --items all --dry-run gedfire apply --input family.ged --changes docs\demo\proposed-findings.json --items all gedfire generate --input family.ged --output-dir site --template docs\demo\template.html
The first apply only previews the changes. The second writes them to the copy. Open site/index.html to browse the result. All people, records, places, and sources in the demo are fictional. On Linux or macOS, use cp and / paths.
Why GedFire?
Online trees offer leads, not proof. Repeated claims can spread an error without adding evidence. GedFire supports a different workflow: capture what a record says, identify whom it concerns, then propose a cited change.
- Typed changes, not raw text edits. GedFire applies operations to a parsed GEDCOM document. It checks structure, pointers, and record-count changes before writing.
- Citations travel with facts. Findings carry verbatim extracts, source details, and quality grades. Drafted changes and generated pages retain them.
- Deterministic mechanics. Tools rank identity candidates, reconcile compatible findings, reuse sources, and flag disagreements. The agent supplies the evidence and judgment.
- Rules you control. A policy file can reject banned prose, require verification notes, and demand evidence for a death place.
- Local processing. GedFire makes no network requests and sends no telemetry. Your MCP client controls where tool results go.
- One publishing source. Generate family pages directly from the reviewed GEDCOM rather than maintaining a separate copy of its facts.
Agents exchange compact findings and operations instead of rewriting whole records. Token use depends on the client and task; this README makes no quantified savings claim.
GedFire is not a graphical tree editor, record provider, or hosted genealogy service. It cannot establish that a quotation is genuine or an identification is correct.
Connect an AI client
Choose local or stdio if your client asks for the MCP server type. Configure an executable command and arguments, not a remote server URL.
VS Code / GitHub Copilot
Add this to .vscode/mcp.json in your workspace:
{
"servers": { "gedfire": { "type": "stdio", "command": "gedfire", "args": [ "mcp", "--input", "C:\\Genealogy\\family.ged", "--read-only", "--enforce-privacy" ] } } }
Replace the input path, start the server from VS Code's MCP controls, and approve trust when prompted. Enable its tools in chat. See the VS Code MCP guide for user-level configuration and tool permissions.
Claude Desktop, Claude Code, Cursor, Windsurf, and Gemini CLI
These clients use an mcpServers entry:
{
"mcpServers": { "gedfire": { "command": "gedfire", "args": [ "mcp", "--input", "C:\\Genealogy\\family.ged", "--read-only", "--enforce-privacy" ] } } }
| Client | Configuration file |
|---|---|
| Claude Desktop | Open Settings > Developer > Edit Config to edit claude_desktop_config.json. |
| Claude Code | .mcp.json in the project root. |
| Cursor | .cursor/mcp.json in the project, or the client's global mcp.json. |
| Windsurf | ~/.codeium/windsurf/mcp_config.json. |
| Gemini CLI | .gemini/settings.json in the project, or ~/.gemini/settings.json. |
Codex
Add this to .codex/config.toml in the project or ~/.codex/config.toml:
[mcp_servers.gedfire]
command = "gedfire" args = ["mcp", "--input", "C:\\Genealogy\\family.ged", "--read-only", "--enforce-privacy"]
Options and troubleshooting
All examples use Windows paths. On Linux or macOS, replace the input with an absolute path such as /home/me/genealogy/family.ged. JSON and TOML double-quoted strings require escaped backslashes on Windows.
| Option | Effect |
|---|---|
--read-only | Refuse every apply_changeset call. Leave all other tools available, including draft and report output. |
--enforce-privacy | Mask protected and plausibly living people in tool output. See privacy limits. |
--policy | Enforce editorial rules during changeset validation and apply. See the example policy and policy reference. |
Restart or reload your client after changing its configuration. If startup fails, check:
gedfire --versionworks in a new terminal.- The absolute GEDCOM path exists.
- The client's MCP log shows no startup error.
commandnames an absolute executable path if the client cannot findgedfireon its inheritedPATH.
GedFire needs no API keys, credentials, or environment variables.
Research workflow
A finding records what a source says. Capture a verbatim extract, source and locator, source and information classes, claimed facts, and quality grades. Keep conflicting findings instead of flattening them into one conclusion.
Correlation identifies the person. Use find_person for a hinted name lookup or match_record for a household, obituary, or other multi-person record. Inspect the candidates and exclusions. A deterministic match score is not a probability or a substitute for a proof argument.
A changeset specifies the edits. draft_changeset compiles findings into typed operations. It reconciles compatible facts, preserves their citations, and leaves genuine disagreements as open decisions. Fix the findings and draft again when validation exposes a defect.
Findings saved to disk follow GedFire's versioned finding-file schema (gedfire schema finding-file). It holds the draft entry, the identity argument, the record it was matched from, and a meta object that belongs to your own workflow. validate_finding checks those files before drafting, using the same error text draft_changeset gives.
NAME facts can correct the target or an existing relative bound by existingPeople: ["@I10@"] or a relation. Corrections preserve the previous name and its citations in a note. An intentional surname change requires allowSurnameChange: true on the NAME fact.
A proposal presents the case for review. After validate_changeset and check_plausibility, call draft_package. It writes a numbered proposal from the finished changesets, including evidence, grades, and any identity arguments the author supplied.
Apply only what your review process accepts. Select the approved items with apply_changeset. It validates and verifies them again before writing. Generate the site when you are ready to publish.
Source and information classes bound citation quality; they do not prove a claim. A death certificate may offer primary information about death but secondary information about birth. Read the grading and drafting reference for the QUAY ceilings.
The tools
The server binds to one GEDCOM and reloads it when the file changes on disk. Every returned xref belongs to that document only; never reuse it against a different file or provider.
| Tool | Purpose |
|---|---|
get_document_stats | Report person and family counts, GEDCOM version, and GedFire version. |
find_person | Rank name matches with optional birth, death, parent, and marriage hints. |
find_family | Find a person through a named spouse, parent, or child. |
find_source | Find existing sources by title, author, or URL. |
get_record | Fetch a person, family, or source with citations and optional source text. |
get_records | Fetch several records at once, optionally selecting fields. |
list_people | Page through people in stable surname/name/xref order. |
list_unanchored_people | Find people with no dated or placed anchors of their own or through immediate kin. |
match_record | Compare a multi-person record with tree families and survey same-name rivals. |
research_brief | Summarize a person's facts, kin, gaps, notes, duplicates, and plausibility issues. |
select_targets | Draw people with research gaps, or score specified people, returning every card that pays for each, including a man's repeatable Biography card. |
date_calc | Normalize dual dates, add or subtract ages, or calculate elapsed time. |
describe_changeset_ops | Return the changeset envelope, operation schemas, and worked examples. |
describe_schemas | Return the versioned JSON Schemas of the finding-file contract. |
validate_finding | Check finding files for shape, readiness, and xref bindings without drafting. |
draft_changeset | Compile findings into cited changesets and report unresolved decisions. |
draft_package | Write a review proposal from finished changesets. |
validate_changeset | Preview selected edits, enforce policy, and optionally score gap closures. |
check_plausibility | Report chronological and biological issues the edits would introduce. |
| `val