Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Description from the maker (original English)
Financial intelligence: insider trades, SEC filings, 13F holdings, and market signals.
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
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Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://mcp.profitelligence.com/mcpRun this in your terminal
claude mcp add --transport http profitelligence https://mcp.profitelligence.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"profitelligence": {
"url": "https://mcp.profitelligence.com/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": {
"profitelligence": {
"type": "http",
"url": "https://mcp.profitelligence.com/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.
ChatGPT connects only to servers on the internet:
https://mcp.profitelligence.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 7, 2026
The registry name was verified with the GitHub account profitelligence, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (2.2.2) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
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Profitelligence MCP Server
Financial intelligence for AI agents. Give Claude access to insider trading data, SEC filings, economic indicators, and multi-signal analysis — all through a single MCP server.
Get Started Free · View Pricing
Traditional financial APIs return mountains of raw data. Your AI agent burns through tokens parsing CSVs, making repeated calls, and piecing together context. Profitelligence is different.
We provide semantically dense, LLM-optimized responses designed for AI agents:
| Traditional MCP Servers | Profitelligence MCP |
|---|---|
| Many narrow tools (10-20+) | 7 powerful tools with rich filtering |
| Raw data dumps | Pre-contextualized intelligence |
| Multiple calls to answer one question | One call, complete answer |
| Token-heavy responses | Optimized for token efficiency |
| Complex tool orchestration | Agent has full control |
This MCP server is a thin, stateless layer over Profitelligence's REST APIs:
The easiest way to get started:
No API key needed — authentication is handled automatically.
Sign up at [profitelligence.com](https://profitelligence.com) — no credit card required.
The free tier includes:
Generate an API key from your account dashboard.
Claude Desktop (easiest):
Go to Settings → Connectors → Add Custom Connector and paste this URL:
https://mcp.profitelligence.com/mcp?apiKey=YOUR_API_KEY
Replace YOUR_API_KEY with your key (e.g. pk_live_abc123...). That's it — start chatting.
Claude Desktop (config file alternative):
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "profitelligence": { "url": "https://mcp.profitelligence.com/mcp?apiKey=YOUR_API_KEY", "transport": "streamable-http" } } }
Claude Code (one-liner):
claude mcp add profitelligence --transport http \
https://mcp.profitelligence.com/mcp \ --header "X-API-Key: YOUR_API_KEY"
That's it! Ask Claude: *"What insider buying happened in tech stocks this week?"*
| Feature | Free | PRO ($4.99/mo) | Elite ($9.99/mo) |
|---|---|---|---|
| Stock coverage | Top 500 | Top 6,000 | All stocks |
| API calls | 250/day | 1,000/day | 10,000/day |
| Insider trading (Form 4) | ✅ | ✅ | ✅ |
| SEC 8-K summaries | ✅ | ✅ | ✅ |
| Economic indicators | ✅ | ✅ | ✅ |
| Opportunity scoring | — | ✅ | ✅ |
| Multi-signal analysis | — | ✅ | ✅ |
| Alert subscriptions | — | 10 alerts | Unlimited |
| Priority support | — | — | ✅ |
Early adopter pricing — $4.99/mo PRO and $9.99/mo Elite rates are locked in for the first 1,000 users (regular: $10/mo and $29/mo). Upgrade anytime.
7 tools designed for maximum token efficiency. Each answers complete questions with rich, contextual responses:
| Tool | Purpose | Example Query |
|---|---|---|
pulse() | Market snapshot | "What's happening in the market right now?" |
investigate(subject) | Deep research | "Tell me about NVDA's insider activity" |
screen(focus) | Opportunity scanning | "Find tech stocks with insider buying" |
assess(symbol) | Position health check | "How is my AAPL position doing?" |
institutional(query_type) | 13F intelligence | "What is Berkshire buying?" |
search(q) | Semantic search | "Find CEO resignation filings" |
service_info() | Account & service info | "What's my subscription tier?" |
User prompt: "What's happening in the market right now?"
What happens:
pulse() toolUser prompt: "Tell me about NVIDIA's insider activity and recent filings"
What happens:
investigate("NVDA") toolUser prompt: "Find tech stocks where insiders are buying"
What happens:
screen(focus="insider", sector="Technology") toolUser prompt: "What is Berkshire Hathaway buying?"
What happens:
institutional("manager", identifier="Berkshire") toolUnderstanding when to use each tool is key to getting the best results. Here's the mental model:
pulse() — What's happening right now?Use when: User wants a market overview without a specific company in mind.
Returns: Market movers, recent high-impact 8-K filings, notable insider trades, key economic indicators.
No parameters. Just call it.
pulse()
Best for: Starting a session, getting oriented, "what should I look at today?"
investigate(subject) — Deep dive on a specific entityUse when: User names a specific company, insider, or sector they want to research.
Auto-detects entity type:
AAPL, NVDA) → Company research0001067983) → Insider researchTechnology) → Sector analysisReturns for companies:
investigate("AAPL") # Company
investigate("0001067983") # Warren Buffett by CIK investigate("Technology", entity_type="sector") # Sector
Best for: "Tell me about X", "What's going on with X?", research before a decision.
screen(focus) — Find opportunities across the marketUse when: User wants to discover stocks matching certain criteria, not research a specific one.
Parameters:
focus: What signal to screen for"all" — Everything (default)"multi_signal" — Stocks with multiple confirming signals"insider" — Insider buying clusters"events" — High-impact 8-K filingssector: Filter to a sector (e.g., "Technology")min_score: Minimum opportunity score (0-100)days: Lookback period (default 7)limit: Max results (default 25)screen() # Everything
screen(focus="insider", sector="Technology") # Tech insider buying screen(focus="events", days=14) # Recent material events
Best for: "What opportunities are out there?", "Find me stocks where insiders are buying."
assess(symbol) — Health check for a position you ownUse when: User owns a stock and wants to evaluate whether to hold, add, or sell.
Returns:
assess("NVDA")
assess("AAPL", days=90) # Longer lookback
Best for: Portfolio review, "How's my position in X?", "Should I be worried about X?"
institutional(query_type) — 13F institutional investor intelligenceUse when: User wants to know what big money is doing.
Query types:
"manager" — Profile a specific fund (by name or CIK)"security" — Who owns a specific stock?"signal" — Find stocks with institutional flow patternsSignal types (for query_type="signal"):
"accumulation" — Stocks institutions are buying"distribution" — Stocks institutions are selling"conviction" — High conviction positions (5%+ of portfolio)"new" — Fresh institutional positionsinstitutional("manager", identifier="Citadel") # What does Citadel own?
institutional("security", identifier="NVDA") # Who owns NVIDIA? institutional("signal", signal_type="accumulation") # Smart money buying
Best for: "What is Berkshire buying?", "Who owns NVDA?", "Follow the smart money."
search(q) — Find anything across the platformUse when: User is looking for something specific but doesn't know where it is.
Searches across:
Parameters:
q: Search query (min 2 chars)entity_type: Filter results — "filing", "company", "insider", "manager"sector: Filter by sectorimpact: Filter filings by impact level — "HIGH", "MEDIUM", "LOW"limit: Max results (default 20, max 100)search("CEO resignation") # Find CEO departure filings
search("NVIDIA", entity_type="company") # Find NVIDIA search("Buffett", entity_type="insider") # Find Warren Buffett search("activist", entity_type="manager") # Find activist funds search("acquisition", sector="Technology", impact="HIGH") # High-impact tech M&A
Best for: "Find filings about X", "Search for Y", discovery when you
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