
Facehunch
io.github.facehunch由 GitHub 账号 facehunch 发布v1.2.1更新于 Oct 24, 2026
Read-only MCP connector for Facehunch saved reports, access status and available source links.
概览
只读连接器,让助手列出并读取已登录用户保存的 Facehunch 照片搜索报告、其状态和已存储的来源链接。
- 可以做什么
- 通过 get_profile 读取已登录账户的资料上下文和访问状态。通过 list_reports 列出账户已拥有的报告及其状态和访问元数据。通过 get_report 获取已拥有报告的元数据和可用的已存储来源链接,锁定结果保持隐藏。概括已存储报告的内容,不推断身份,也不把相似度分数当作验证。
- 适用场景
- 适合在已有保存的 Facehunch 报告时,让助手查找、打开并概括这些报告,或在依赖报告内容前确认其是否可访问。不用于发起新的搜索或识别个人。
- 运行要求
- 支持 Streamable HTTP MCP 和 OAuth 的远程端点,或使用 Node.js 22 及以上版本在本地运行 npm 包 facehunch-mcp。需要现有 Facehunch 账户,并通过浏览器登录授予 profile:read 和 reports:read 权限。
安装
在 SourceWeft 中
- 打开 控制台中的 Facehunch,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.facehunch%2Fmcp-server/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"facehunch": {
"type": "http",
"url": "https://mcp.facehunch.com/mcp"
}
}
}README
Facehunch MCP
Photo-search context with clear limits.
Facehunch helps readers understand photo-search methods, source pages and the limits of a visual result. Its guides distinguish finding copies of a photograph from comparing faces across different photographs. The workspace presents a fictional sample and consented API tests; the current FaceCheck test index does not produce reliable identity matches.
Website · MCP repository · Agent skill · npm package
What this connector does
This package connects a local stdio MCP client to the hosted Facehunch MCP server. Hosted tools run on Cloudflare; the local package bridges the connection and opens browser-based OAuth. You do not need to deploy a Worker or paste a product password into your assistant.
The MCP does not initiate new face searches, identify people, infer sensitive traits or research personal information. It only retrieves existing owned reports. Locked results remain hidden. An empty report list means the account has no saved reports, not that a photograph has no online matches. Test results are not identity verification.
Example workflow
- Locate a report that already exists in the user’s account.
- Read its status and access state; preserve dates and source URLs exactly as returned.
- Summarize what the stored report contains without inferring identity or treating a similarity score as verification.
Things to ask your assistant
List my saved reports with their dates, statuses and links.
Open this existing report and summarize its available source links without identifying anyone.
Check whether this report is accessible. If it is locked, return its product link instead of guessing its contents.
Connect a remote MCP client
- Open the client’s custom MCP or connector settings.
- Enter
https://mcp.facehunch.com/mcpas the remote server URL. - Complete Facehunch sign-in in your browser and review the permissions on the consent screen.
- Return to the client and load the available tools.
Use a client that supports Streamable HTTP MCP and OAuth. Custom-connector availability depends on the client and your account. A public repository or npm release does not mean the integration has been approved for a client’s marketplace.
Claude Desktop and other stdio clients
Requires Node.js 22 or newer and an existing Facehunch account. Add this entry to your client’s MCP configuration:
You can also run npx -y facehunch-mcp from a terminal to start the bridge. It speaks MCP over stdio; it is not an interactive chat interface. For desktop clients that support MCPB extensions, download the .mcpb file from Facehunch releases.
Permissions and account access
Requested scopes: profile:read reports:read. Older profile-only connections need to reconnect and explicitly approve the additional permissions before content tools are available.
Only approve a connection you intended to start. If sign-in opens a new tab, finish it, return to the consent screen and refresh. Manage or revoke connected apps.
The package uses pinned mcp-remote for OAuth, PKCE and local token storage. Tokens on your computer are credentials. The connector uses the fixed endpoint above and rejects command-line endpoint overrides. Product passwords and underlying provider credentials are not requested by this package.
Troubleshooting
- No tools or insufficient permissions: reconnect through browser consent and check the selected account.
- An empty list: confirm that the account owns the expected items. Empty results are different from a failed request.
- A link asks you to sign in: open it with the owning product account; a private product link is not a public share link.
- The browser blocks authorization: inspect the browser’s displayed error and restart an expired request from the client. Never send cookies or tokens in an issue.
Add the companion skill
The Facehunch agent skill explains how to select the right records, interpret results and respect the workflow’s limits:
Learn more about Facehunch
- Photo search and its limits
- Reverse image search explained
- Face search versus reverse image search
- Photo-search privacy
- Test-mode help centre
- Photo removal
Development and support
Report a connector issue with your client, Node.js version and a redacted error. Keep package.json, manifest.json, server/config.json, server.json and the lockfile version aligned for releases. GitHub Actions publishes versioned npm packages and MCPB assets. See LICENSE for the MIT license.
来源:README.md,提交 6452086
工具
0版本历史
1- v1.2.1最新Sep 22, 2026
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