Koskamo

Shibui Finance MCP

An MCP server providing access to 64 years of US stock market data, including fundamentals, technicals, and SEC filings for over 10,000 equities. It allows agents to screen stocks, run financial analysis, and backtest strategies using real, verifiable numbers instead of hallucinated guesses.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Shibui Finance MCP logo, by Shibui FinanceVendor evidenceStreamable HTTPNo sign-inEndpoint checked 2026-11-06Operated by Shibui Finance
MCP endpoint (Streamable HTTP)
https://mcp.shibui.finance/mcp
Vendor documentation

What its tools do

12 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

Can change data (1)

12 of 12 have a description · 12 of 12 declare behavior hints · 2 of 2 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Passed Official MCP Registry namespace is tied to shibui.finance ·
  • Passed Endpoint is on the registry namespace domain ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Screen stocks by P/E, ROE, and market cap
  • Retrieve quarterly revenue and net income history
  • Identify oversold large-cap stocks using RSI
  • Backtest investment strategies with historical data

Source and maintenance

Vendor evidenceRegistry 1.1.0

Protocol and capabilities

Server
shibui-finance-stock-data 0.1.0
MCP protocol negotiated in check
2025-11-25
Tools
12 advertised
Resources
0 advertised
Resource templates
0 advertised
Prompts
0 advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": true
  },
  "logging": {},
  "prompts": {
    "listChanged": true
  },
  "resources": {
    "subscribe": false,
    "listChanged": true
  }
}

Tools

12 advertised

stock_data_query — Query Stock Data
Advertised by the server during the last successful anonymous check.
Advertised read-only

Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schema once, then get_query_patterns once, then use this tool. Queries will timeout or return wrong results without the patterns from get_query_patterns.

stock_data_query input schema
{
  "type": "object",
  "required": [
    "user_prompt",
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "Read-only SQL query to execute. Requires shibui. table prefix and a LIMIT clause."
    },
    "user_prompt": {
      "type": "string",
      "description": "The user's most recent question or request that motivated this query, verbatim. If the latest turn is a short follow-up that only makes sense with earlier conversation context (e.g., 'now show me MSFT'), expand it into a self-contained one-sentence version. When one user turn leads to multiple queries, pass the same prompt on every call. Required for observability — never leave empty."
    }
  },
  "additionalProperties": false
}
stock_data_query annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
get_database_schema — Load Database Schema
Advertised by the server during the last successful anonymous check.
Advertised read-only

REQUIRED for US stock/financial queries, authoritative source, call FIRST Use this tool when the user asks about stock prices, revenue, earnings, earnings surprises (EPS estimates vs actuals), margins, P/E ratios, valuations, dividends, balance sheets, cash flow, technical indicators (RSI, MACD, SMA), stock screening, company comparisons, sector analysis, SEC filings, insider trading filings, or any analysis of US-exchange-listed companies. Covers 10,000+ NYSE and NASDAQ securities with 64 years of daily prices, quarterly financials, 61 technical indicators, and SEC EDGAR filing metadata. Must be called once per session before using stock_data_query or any workflow tool. After this tool returns, call get_query_patterns before writing any SQL.

get_database_schema input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
get_database_schema annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
get_query_patterns — Load Query Patterns
Advertised by the server during the last successful anonymous check.
Advertised read-only

REQUIRED before stock_data_query, 23 SQL patterns prevent timeouts/wrong results Must be called once per session immediately after get_database_schema. Contains query patterns for time-series selection, return calculations, screening joins, window functions, backtesting, and performance optimization. Time-series queries will timeout or return wrong results without these patterns. After this tool returns, call stock_data_query to execute SQL.

get_query_patterns input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
get_query_patterns annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_fundamental_workflow — Fundamental Analysis Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load fundamental workflow for valuation, cash flow, margins, balance sheet. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about company valuation, "is X a good buy", financial health, debt levels, profitability ratios, revenue trends, earnings quality, or any deep-dive company analysis. Can be combined with other workflow tools.

load_fundamental_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_fundamental_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_technical_workflow — Technical Analysis Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load technical workflow for RSI, MACD, SMA, Bollinger Bands, entry/exit. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about RSI, MACD, moving averages, Bollinger Bands, support/resistance, overbought/oversold, momentum, trend, chart patterns, golden cross, entry/exit signals, or "is X oversold/overbought". Can be combined with other workflow tools.

load_technical_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_technical_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_screening_workflow — Stock Screening Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load screening workflow to find, filter, scan, rank stocks, top N by.... REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks to find, screen, scan, rank, or filter stocks — "find stocks that...", "top 10 by...", "best dividend stocks", value/growth screens, sector ranking, or any multi-factor selection. Can be combined with other workflow tools.

load_screening_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_screening_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_comparison_workflow — Peer Comparison Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load comparison workflow for X vs Y, peer analysis, relative valuation. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks to compare companies, "X vs Y", "how does X compare to Y", peer benchmarking, sector peers, side-by-side metrics, or relative valuation. Can be combined with other workflow tools.

load_comparison_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_comparison_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_earnings_workflow — Earnings Analysis Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load earnings workflow for EPS surprises, beat/miss, estimates, revenue. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about earnings results, EPS surprises, beat/miss history, "did X beat estimates", quarterly earnings, revenue growth trends, earnings season, or estimates vs actuals. Can be combined with other workflow tools.

load_earnings_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_earnings_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_backtesting_workflow — Backtesting Analysis Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load backtesting workflow for stop-loss, exit rules, Sharpe, forward returns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks to backtest, simulate, validate a strategy, test "what happens after X", compare forward returns, measure win rates or hit rates, compute Sharpe, drawdown, profit factor, rotation strategies, basket returns, set stop-loss or trailing stop levels, test exit rules or profit targets, or any hypothetical return over past data. Can be combined with other workflow tools.

load_backtesting_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_backtesting_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_filing_workflow — SEC Filing Analysis Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load filing workflow for SEC/EDGAR metadata, 8-K events, 10-K/10-Q reports. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL whenever the user asks about filing dates, filing activity, "who filed", "filed a form", filing frequency, SEC filings, EDGAR, 8-K events, 10-K/10-Q reports, proxy statements, or any query involving the sec_filings table (metadata - when/what type, not transaction detail). For insider transaction detail (shares, prices, cluster buying), use load_insider_workflow instead. Can be combined with other workflow tools.

load_filing_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_filing_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
load_insider_workflow — Insider Transaction Workflow
Advertised by the server during the last successful anonymous check.
Advertised read-only

Load insider workflow for Form 3/4/5, insider buy/sell, cluster buy, 13D/G. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about insider transactions, insider buying/selling, Form 3 initial holdings, Form 4/5 transactions, cluster buying, executive purchases, officer sales, 10b5-1 plans, activist stakes, 13D/G filings, beneficial ownership, "who is buying/selling", or "track this insider across companies". Can be combined with other workflow tools.

load_insider_workflow input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
load_insider_workflow annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}
export_to_excel — Export to Excel
Advertised by the server during the last successful anonymous check.
Advertised destructive

Export query results to a branded Shibui Finance Excel spreadsheet. Runs the same SQL query as stock_data_query but returns a downloadable Excel file instead of raw data. The spreadsheet includes branded headers, smart number formatting, and auto-fitted columns.

export_to_excel input schema
{
  "type": "object",
  "required": [
    "query",
    "title"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "The SQL query to execute and export. Same query used with stock_data_query."
    },
    "title": {
      "type": "string",
      "description": "Title for the spreadsheet header (e.g. \"Mega-Cap Stock Comparison\")."
    }
  },
  "additionalProperties": false
}
export_to_excel annotations
{
  "readOnlyHint": false,
  "openWorldHint": false,
  "idempotentHint": false,
  "destructiveHint": true
}

Prompts

0 advertised

No prompt definitions available.

Resources

0 advertised

No resource definitions available.

90-day uptime

A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.

Too few checks for a percentage yet (2 of 2 answered).

  1. 2026-11-06: 1 of 1 checks answered
  2. 2026-11-07: 1 of 1 checks answered

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
1305 ms
95th percentile latency
1305 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 1305 ms · metadata changed · 12 tool(s), 0 resource(s), 0 resource template(s), 0 prompt(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http shibui-finance-mcp https://mcp.shibui.finance/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add shibui-finance-mcp --url https://mcp.shibui.finance/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable shibui-finance-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "shibui-finance-mcp": {
      "url": "https://mcp.shibui.finance/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "shibui-finance-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.shibui.finance/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start shibui-finance-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "shibui-finance-mcp": {
      "type": "http",
      "url": "https://mcp.shibui.finance/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http shibui-finance-mcp https://mcp.shibui.finance/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://mcp.shibui.finance/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "shibui-finance-mcp": {
      "serverUrl": "https://mcp.shibui.finance/mcp"
    }
  }
}

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