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Klarix Intelligence Engine MCP Server

answering

Klarix Intelligence Engine is answering right now. Last checked 5 min ago. It exposes 15 tools.

Cited competitive intelligence: prospect scoring, battlecards, SWOT, and tech-stack teardowns.

Uptime history 19 days of history · worst day 49%
19 days agonow
50.0%
Uptime 24h
92 of 184 checks
15
Tools
read from the server
394 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 2

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 7 September 2026. No other catalogue keeps this.

6 Sep a tool description was rewritten find_matched_prospects
6 Sep a tool changed the parameters it asks for find_matched_prospects

Klarix Intelligence Engine does not always answer

Over the last week it answered 50.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

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 5 min ago.

run in your terminal
claude mcp add intelligence --transport http https://mcp.klarix.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "intelligence": {
      "url": "https://mcp.klarix.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.intelligence]
url = "https://mcp.klarix.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "intelligence": {
      "url": "https://mcp.klarix.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "intelligence": {
      "url": "https://mcp.klarix.ai/mcp"
    }
  }
}

This server publishes 1 more address. The block above uses the one we reach during checks; the full list is under Endpoints below, and the author may intend a particular one for your client.

Available tools 15

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

generate
generate_displacement_playbook
Generate an end-to-end competitive displacement playbook with switching cost mitigations, POC blueprints, and migration timelines.
generate_outreach_sequence
Write cold outreach that opens on a researched, dated insight about the prospect rather than a pleasantry. Supports a 3-step email sequence, a 3-step LinkedIn sequence, or 6 multivariant openers. Enforces the Klarix voice contract (banned AI words and phrases, punctuation tells, rhythm) and reports any violations. Writes to a job title, never to an individual, and never emits contact details.
generate_swot_analysis
Deep multi-source web crawl into a four-quadrant SWOT matrix for a company: internal strengths (moat, proprietary tech, distribution lock) and weaknesses (pricing friction, customer complaints, legacy tech), plus external opportunities (untapped verticals, market vacancies, adjacent expansion) and threats (substitutes, price commoditization, regulatory shifts). Every entry carries evidence and a consequence. Adds strategic exploit vectors for winning deals against them and defensive counter-plays. Curate it to your own business with our_company_name, our_domain, our_differentiators, or a Klarix client_id so every vector is one you can actually execute. Returns markdown plus structured JSON.
teardown
teardown_product_spec
Deconstruct a physical hardware device, battery pack, medical system, or software API into an institutional-grade technical specification table with exact units, tolerances, verified images/diagrams, datasheet links, certifications, and displacement seams.
teardown_tech_stack
Deconstruct an account's technical infrastructure, dev tools, cloud providers, AI/data stack, and identify displacement vulnerabilities.
analyze
analyze_head_to_head
Compare YOUR company against a specific competitor or incumbent you want to displace. Researches both sides on the live public web, then returns asymmetric advantages (where you win structurally), their defensive moats (where to stop arguing), a fixed four-dimension comparison matrix (Pricing, Tech / Delivery Speed, Quality Floor, Support / Customization), spoken talk tracks and landmines for a live evaluation, and a three-step displacement strategy. Identify your side with our_domain, our_company_name, or a Klarix client_id. Any claimed advantage the evidence does not support is reported back rather than repeated.
buying
get_buying_committee
Map the internal buying committee (Economic Buyer, Champion, Technical Evaluator, Procurement) for an account with title patterns, pain points, objections, and multi-threading strategy.
company
get_company_intelligence
Synthesize an executive one-pager on a company from live public web sources: snapshot, findings per requested focus area, dated buying signals, deal risks, and stated unknowns. Every claim carries a source URL. Focus areas include pricing, leadership (roles only), recent_events, tech_stack, customers, hiring, funding, products, and risks.
competitor
get_competitor_battlecard
Build a live sales battlecard for a competitor domain: SWOT from their point of view, the gap between their marketing claims and buyer-reported reality, and concrete landmines with spoken talk tracks. Every claim cites a public source. Optionally aim it at a target vertical, and curate it to your own business by passing our_company_name, our_domain, our_differentiators, or a Klarix client_id — landmines and talk tracks then become lines your seller can actually defend.
deep
get_deep_research
Exhaustive intelligence probe on a company across five dimensions: firmographic and corporate evolution (funding, revenue tier, team growth), product and technology teardown (stack, API presence, core capabilities), leadership and organizational signals (executive hires, board composition, departures — publicly reported executive names allowed when cited, never contact details), active buying and growth triggers (hiring surges, expansion, product launches), and risk analysis with explicit unknowns. Every finding carries a source citation and an implication. Defaults to depth "standard", which returns a tighter, higher-quality citation list; request "comprehensive" when maximum coverage matters more than citation density.
detect
detect_account_triggers
Detect recent account inflection points (leadership changes, funding, hiring surges, product updates, regulatory events) within a timeframe.
market
get_market_landscape
Map a competitive landscape for an industry or vertical from live public sources: Tier-1 incumbents against emerging disruptors, category positioning quadrants with the white space in each, published pricing models and price bands, and the narrative themes that dominate zero-click and AI answers — including which themes are still open. Ends with buyer shifts and defensible entry wedges. Returns a landscape matrix in markdown plus structured JSON.
matched
find_matched_prospects
Build a first-pass candidate list from hundreds of thousands of pre-profiled B2B companies using Voyage 4 semantic vector embeddings. Ranks accounts by topical similarity to an ICP description, tech stack, business model, and vertical, then screens the retrieved candidates for buyer-vs-vendor role and corporate status and reports what it withheld. Returns a candidate net, not a qualified list: the similarity figure is not a fit score, and every account should go through score_prospect_fit before outreach.
scientific
search_scientific_evidence
Retrieve verifiable academic and engineering literature for a technical topic so a claim can cite a resolvable DOI instead of a vendor blog post. Queries Semantic Scholar (citation graph, abstracts, open-access PDFs) and the arXiv preprint index, merges duplicates, and ranks by citation count then recency. Returns title, authors, year, DOI / arXiv URL, citation count, and an extractive key finding taken verbatim from the abstract. Keyless; set SEMANTIC_SCHOLAR_API_KEY to escape the shared anonymous rate limit.
score
score_prospect_fit
Score a company against your ICP on five weighted axes — Strategic Fit, Tech Alignment, Buyer Persona Readiness, Growth Triggers, and Landmine Risk — each 1-10, with a weighted overall and a 7+/10 pursue threshold. Uses live public web evidence and cites every claim. Curate the score to your own business with our_company_name, our_domain, our_differentiators, or a Klarix client_id — a client_id also supplies the ICP, so icp_description becomes optional. Judges roles, never individuals; returns no contact details.

Endpoints

URLTransportStateLatencyChecked
https://mcp.klarix.ai/mcp streamable-http answering 710 ms 5 min ago
https://mcp.klarix.ai/sse sse answering 305 ms 5 min ago

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Klarix Intelligence Engine — questions

Answers built from our own checks of this server.

What can Klarix Intelligence Engine do?
It exposes 15 tools, read directly from the server on our last check. Among them: analyze_head_to_head, detect_account_triggers, find_matched_prospects, generate_displacement_playbook, generate_outreach_sequence, generate_swot_analysis and 9 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 →
What is Klarix Intelligence Engine mostly used for?
Its tools cluster around generate and teardown. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Klarix Intelligence Engine working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 184 checks got a reply (50.0%), average response time 394 ms. The bar chart above shows every period we have measured.
How do I connect Klarix Intelligence Engine?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Klarix Intelligence Engine need an API key?
No. Klarix Intelligence Engine completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 15 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Klarix Intelligence Engine?
It answers our handshake in 394 ms on average, which is faster than 41% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.