Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP Server for publicly available Indian Mutual Funds data
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"mftool": {
"command": "uvx",
"args": [
"mftool-mcp"
]
}
}
}Run this in your terminal
claude mcp add mftool -- uvx mftool-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mftool": {
"command": "uvx",
"args": [
"mftool-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"mftool": {
"type": "stdio",
"command": "uvx",
"args": [
"mftool-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account NayakwadiS, which owns the repo
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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
-->