Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
MCP Server for publicly available Indian Mutual Funds data
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"mftool": {
"command": "uvx",
"args": [
"mftool-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add mftool -- uvx mftool-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"mftool": {
"command": "uvx",
"args": [
"mftool-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"mftool": {
"type": "stdio",
"command": "uvx",
"args": [
"mftool-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
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。
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8日
注册名称已通过 GitHub 账户 NayakwadiS 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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
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。
它在 1 项适用的基础检查中通过了 1 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。
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)。
GitHub 仓库最后更新于–,最新版本(1.2.0)于2个月前进入注册中心。
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 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, SwarmMemo
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Talk with agent swarms: rooms, private messages and paid tasks for AI agents
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。
MCP Server for publicly available Indian Mutual Funds data
Powered by mftool · Works with Claude, Cursor, and any MCP-compatible LLM client
mftool-mcp is a Model Context Protocol (MCP) server that gives any LLM client access to Indian Mutual Fund data.
Ask your AI assistant questions like:
| Tool | Description |
|---|---|
get_scheme_quote | Live NAV for any scheme by AMFI scheme code |
get_bulk_quotes | Live NAV for multiple schemes at once (concurrent) |
get_scheme_historical_nav | Full NAV history for a scheme (all available dates) |
get_scheme_historical_nav_for_dates | NAV history filtered to a specific date range (DD-MM-YYYY) |
get_scheme_history | NAV history via BSE/YFinance code with period or date range |
get_scheme_codes | All AMFI scheme codes and names |
get_available_schemes | All schemes under a specific AMC |
get_scheme_details | Fund house, type, category, start date (AMFI code) |
get_scheme_info | Rich scheme info — AUM, returns, ratings (BSE/YFinance code) |
is_valid_scheme_code | Validate an AMFI numeric scheme code |
is_valid_new_scheme_code | Validate a BSE/new format scheme code |
search_schemes | Search schemes by name keyword with relevance ranking |
search_schemes_by_amc | Search schemes within a specific AMC |
search_schemes_by_type | Search schemes by type/category (equity, debt, elss, etc.) |
get_average_aum | Average AUM (domestic & overseas) for all AMCs by quarter |
get_equity_scheme_performance | Daily performance for all equity funds (1Y/3Y/5Y returns) |
get_debt_scheme_performance | Daily performance for all debt funds (1Y/3Y/5Y returns) |
get_hybrid_scheme_performance | Daily performance for all hybrid funds (1Y/3Y/5Y returns) |
get_solution_scheme_performance | Daily performance for solution-oriented funds (retirement, children) |
get_other_scheme_performance | Daily performance for index funds and Fund of Funds |
calculate_returns | Calculate SIP returns — absolute return % and annualised IRR |
calculate_balance_units_value | Current market value of held units for a scheme |
calculate_portfolio_value | Total current value of a multi-scheme portfolio (concurrent) |
get_cache_stats | View hit/miss stats for NAV and scheme code caches |
clear_cache | Clear all cached data to force fresh fetches |
set_cache_enabled | Enable or disable mftool caching globally |
uvx (Recommended — no install needed)uvx mftool-mcp
pippip install mftool-mcp
mftool-mcp
Add this to your claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": { "mftool-mcp": { "command": "uvx", "args": ["mftool-mcp"] } } }
Restart Claude Desktop. You'll see mftool-mcp listed under connected tools.
In your MCP client settings, add:
{
"mftool-mcp": { "command": "uvx", "args": ["mftool-mcp"] } }
Finding a fund:
You: "Find all SBI midcap mutual fund scheme codes"
Claude: *calls
search_schemes_by_amc(amc_name='sbi', query='midcap')*
Claude: "Here are the SBI midcap schemes: SBI Magnum Midcap Fund - Direct Growth (code: 125497)..."
Live NAV:
You: "What's the current NAV of scheme 125497?"
Claude: *calls
get_scheme_quote(scheme_code='125497')*
Claude: "SBI Magnum Midcap Fund - Direct Growth: NAV ₹234.56 (as of 05-Apr-2025)"
Performance comparison:
You: "Compare 5-year returns for large cap equity funds"
Claude: *calls
get_equity_scheme_performance()*
Claude: "Here's the 5-year return comparison for Large Cap funds: ..."
All data is sourced via the mftool library. Data accuracy depends on published figures. This tool is for informational purposes only and does not constitute financial advice.
git clone https://github.com/NayakwadiS/mftool-mcp
cd mftool-mcp pip install -e ".[dev]"
python -m mftool_mcp.server
See PUBLISHING.md for the full release process (PyPI + MCP Registry).
<!-- ### Project Structure
mftool-mcp/
├── src/ │ └── mftool_mcp/ │ ├── init.py │ ├── server.py # MCP server entry point │ └── tools/ │ ├── init.py │ ├── nav.py # NAV & historical data tools │ ├── schemes.py # Scheme discovery & search tools │ └── performance.py # Daily performance tools ├── pyproject.toml ├── LICENSE └── README.md
-->