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Agentic AI MCP Server

by anthonywlicausi Your server? Claim it
answering

Agentic AI is answering right now. Last checked 9 min ago. It exposes 8 tools.

Deal intelligence for agents: SEC-verified financials, validation, institutional deal scoring.

Uptime history 91 days of history · worst day 98%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
8
Tools
read from the server
299 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 7

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 29 September 2026. No other catalogue keeps this.

27 Oct 2 tools appeared lp_match_preview, request_lp_intro
27 Oct a tool description was rewritten investor_intro_preview
29 Sep 2 tools appeared investor_intro_preview, request_intro
29 Sep a tool description was rewritten investor_intro_preview
29 Sep a tool changed version

Nothing serious here today

Today is the operative word: we check Agentic AI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add agentic-ai --transport http https://agentic-ai-production-e711.up.railway.app/mcp
Settings → Connectors → Add custom connector, then paste this address
https://agentic-ai-production-e711.up.railway.app/mcp
~/.codex/config.toml
[mcp_servers.agentic-ai]
url = "https://agentic-ai-production-e711.up.railway.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "agentic-ai": {
      "url": "https://agentic-ai-production-e711.up.railway.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "agentic-ai": {
      "type": "http",
      "url": "https://agentic-ai-production-e711.up.railway.app/mcp"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

request
request_intro
FREE, no API key. Records a request to be introduced to DEALITHIC and booked into a demo, where matched investors are revealed. Only call this after the person has explicitly agreed to be contacted by email about their raise, and set consent=true only in that case.
request_lp_intro
FREE, no API key. Records a fund manager's request to be introduced to DEALITHIC and booked into a demo about raising their fund from LPs. Only call this after the person has explicitly agreed to be contacted by email, and set consent=true only in that case.
company
company_report
The flagship: eight-lens institutional analysis of a US-listed company, grounded entirely in SEC-verified figures with per-field filing citations. Lenses: equity research, investment banking, strategy consulting, turnaround ops, comparables, capital markets, disclosure audit, and Charlie Munger's 10 mental models — plus an executive synthesis. Optionally pass `market` (e.g. {"price": 12.34, "market_cap_m": 5000}) from your own data source to enable valuation views, and `context` — your own deal materials (CIM extracts, computed valuations), treated as caller-asserted rather than SEC-verified. $25.00/call after free trial; allow ~60s.
deal
deal_score
Full underwriting chain on a deal profile: financial integrity → trend → industry position → stress tests → conviction score, plus a risk register and investment thesis (and an rNPV valuation band for biotech deals with `indications`). $2.00/call after free trial.
investor
investor_intro_preview
FREE, no API key. Use when someone wants to be connected with investors for a raise. Runs DEALITHIC's matching engine against 93,000+ funds, family offices and angels and returns how many fit and what kinds of investors they are (counts only: no firm names or contacts). asset_class is one of pe, vc, growth, credit, real_estate, infrastructure, preferred_equity, equity, public_equity, other. target_raise_m is the raise in USD millions. If the result looks useful, offer request_intro to book a demo where names and contacts are released.
match
lp_match_preview
FREE, no API key. Use when a fund manager (GP) wants to find LPs for a fund they are raising. Returns how many LP-type investors in DEALITHIC's network fit each LP type (pension, endowment, foundation, sovereign_wealth, fund_of_funds, family_office): counts only, no names or contacts. Counts are by LP type and are not yet scored against the strategy or fund size. target_fund_size_m is in USD millions. lp_types optionally narrows the types. If useful, offer request_lp_intro to book a demo where specific LPs are released.
sec
sec_extract
Verified financial statements and derived metrics for a US-listed ticker, extracted from SEC EDGAR XBRL filings. Every value carries provenance (the exact filing, form, and tag it came from); missing facts are null, never 0. $0.25/call after free trial.
validate
validate_financials
Institutional validation pass over company financials: tax-rate sanity, EBITDA/EBIT bridge, growth continuity vs historical CAGR, capex ratio, working-capital stability. Returns integrity score + severity-ranked flags. $0.50/call after free trial.

Endpoints

URLTransportStateLatencyChecked
https://agentic-ai-production-e711.up.railway.app/mcp streamable-http answering 442 ms 9 min ago

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Agentic AI — questions

Answers built from our own checks of this server.

What can Agentic AI do?
It exposes 8 tools, read directly from the server on our last check. Among them: company_report, deal_score, investor_intro_preview, lp_match_preview, request_intro, request_lp_intro and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Agentic AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 299 ms. The bar chart above shows every period we have measured.
How do I connect Agentic AI?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Agentic AI need an API key?
No. Agentic AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Agentic AI?
It answers our handshake in 299 ms on average, which is faster than 48% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.