
Portfolio Mcp Server
io.github.ayush-s-tomar由 GitHub 账号 ayush-s-tomar 发布v1.0.4更新于 Oct 29, 2026
Ask any MCP client what Ayush Singh Tomar has built: projects, stacks, and a resume summary.
发布方自己的服务:PortfolioFit
概览
一个本地 stdio MCP 服务器,让助手基于内置数据回答关于 Ayush Singh Tomar 的项目作品集、技术栈和简历摘要的问题。
- 可以做什么
- 列出内置作品集中的所有项目及简要说明
- 按项目名称获取单个项目的完整详情
- 查找使用某项技术的项目
- 选出最值得先看的旗舰项目
- 返回包含背景、目标岗位和核心技术栈的简历式摘要
- 适用场景
- 适合想让助手回答这位开发者做过什么、用了哪些技术栈、简历摘要是什么的场景,而不必去读 PDF 或链接列表。它更像一个自包含的 MCP 服务器示例,而非通用工具。
- 运行要求
- 以 stdio 方式在本地运行,由客户端启动。需要 Python 3.10+,并通过 uv/uvx 或 pip 安装 portfolio-mcp-server 包。调用工具无需 API 密钥、账号或网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Portfolio Mcp Server,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
🗂️ Portfolio MCP Server
Ask an AI about my work. It answers from real data, not a PDF.
An MCP server that makes my AI project portfolio queryable.
Connect it to Claude, Cursor, or any MCP client and just ask.
[PyPI] [CI] [Python 3.10+] [MCP] [License: MIT] [Code style: ruff] [PRs Welcome]
Quickstart · Tools · Demo · Connect a client · Limitations · Roadmap
[Portfolio MCP Server demo]
⚡ Quickstart
The server command (clients launch it for you; run by hand, it just waits silently for a client):
Add it to Claude Code with one line:
Then ask:
"What has Ayush built with LangGraph?"
Prefer pip? pip install portfolio-mcp-server
💡 Why this exists
Most AI-developer portfolios are a list of links. This is a working MCP server built around my own portfolio, using the same protocol agentic products use to connect to tools. It is a real implementation of the spec and a direct answer to "show me you've actually built with MCP."
🧰 Tools
🧠 How it works
The client launches the server as a local process and talks to it over stdio. The server answers each tool call from its bundled project data. Nothing is hosted, and no API keys are needed.
🎬 Demo
🎥 Full video walkthrough
https://github.com/user-attachments/assets/4c1b844a-087f-48a6-b156-bdef27282acc
Setup → tool calls → live answers, end to end.
🔌 Connect a client
Claude Code
Claude Desktop
Open your config file:
If the file already has an mcpServers key, add "portfolio" inside it instead of overwriting the file.
Installed with pip:
Running from a cloned checkout (use the absolute path to server.py):
Restart Claude Desktop and ask: "What projects has Ayush built with FastAPI?"
Cursor and other clients
Any MCP client that can launch a stdio server works. Use portfolio-mcp-server (after pip install) or the uvx command above as the server command.
🛠️ Development
Run from source
Test it interactively with the MCP Inspector:
This opens a browser UI where you can call each tool and inspect raw request and response payloads.
Testing & CI
Every push and pull request runs through GitHub Actions:
Run the same checks locally before opening a PR:
Project structure
Built with: Python 3.10+ · MCP Python SDK (FastMCP) · stdio transport · registered on the MCP registry as io.github.ayush-s-tomar/portfolio-mcp-server
⚠️ Known limitations
Warning: The installed package is a snapshot.
pip installgets the portfolio as it was at that release (v1.0.4, published 2026-10-27, at the time of writing). Projects added and demo links changed since then won't appear until a new version is published, and tool responses can't yet say how current they are.
- Static project data. Tools read from bundled data, so updating a project means editing it and republishing. There is no live sync with the GitHub repos or portfolio site yet.
- stdio only. It works for local clients that can spawn the process, such as Claude Desktop, but there is no HTTP/SSE option yet for remote clients.
- One technology per search.
search_projects_by_stackfilters on a single technology per call, so "LangGraph and FastAPI together" isn't supported yet.
🗺️ Roadmap
Done
- Publish to PyPI as an installable package
- Publish to the official MCP server registry
- Refresh the bundled project data (v1.0.2)
- Weekly CI link check of every URL in the bundled data
Next
- Fetch project data from the portfolio site at startup, with the bundled snapshot as an offline fallback (one source of truth instead of two copies that drift apart)
- Return a
last_updateddate from every tool so an answer can say how current it is - Support matching multiple technologies at once in
search_projects_by_stack - Add an HTTP/SSE transport option alongside stdio for remote clients
🌐 Also listed on
[Portfolio MCP server on mcprush]📄 License
Released under the MIT License.
Built by Ayush Singh Tomar
If this helped you build your own MCP server, a ⭐ on the repo is appreciated.
mcp-name: io.github.ayush-s-tomar/portfolio-mcp-server
来源:README.md,提交 08556a7
工具
0版本历史
4- v1.0.4最新Oct 29, 2026
- v1.0.3Oct 25, 2026
- v1.0.2Oct 24, 2026
- v1.0.1Sep 16, 2026
评分
已满足适用检查项的 50%
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- 近 30 天内可连通25 分
请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。
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- 描述必需15 分
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- 文档15 分
- 许可证10 分
其他 Portfolio 集成

PortfolioFit
fit.portfolio官方发布者
PortfolioFit 是一个远程 MCP 服务器,让助手按投资指令核对标准化投资组合,并计算配置约束与统计指标。

Cameron Rye Portfolio MCP Server
dev.rye官方发布者
远程 MCP 端点,提供 Cameron Rye 的博客、作品集项目、简介、阅读清单和站点实时统计,以及联系与订阅工具。
Shlok Bam's portfolio
由 GitHub 账号 shlokbam 发布
了解AI工程师Shlok Bam:项目、经验、技能、专利。实时、只读。AI 翻译

Harshith Nayaka L portfolio docs
由 GitHub 账号 HarshithNayakaL 发布
只读 MCP 服务器,提供某作品集网站 JSON API、MCP、A2A 与 NLWeb 的开发者文档。

Harshith Nayaka L portfolio
由 GitHub 账号 HarshithNayakaL 发布
以只读方式访问 Harshith Nayaka L 的作品集网站,让助手查询其个人简介、项目、案例研究、常见问题与 agent 技能。