# Klarix Intelligence Engine Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Klarix Intelligence Engine

Prospect scoring, battlecards, SWOT analysis, and competitive intelligence for B2B sales teams.

- Record: https://musedirectory.ai/connector/klarix-intelligence-engine
- Category: Marketing & Ads
- Developer: Klarix (https://klarix.ai/mcp)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 587ms, checked 2026-09-28T09:16:12Z
- Endpoint: https://mcp.klarix.ai/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T05:55:43Z)
- Source: Found in the official MCP Registry (ai.klarix/intelligence) https://registry.modelcontextprotocol.io/v0/servers?search=ai.klarix%2Fintelligence

Research tool for B2B sales and marketing teams. Finds and scores prospects against your ICP, builds competitor battlecards and SWOT analyses, maps buying committees, detects account triggers, and generates outreach sequences backed by live public web research.

Example request: "Find AI infrastructure companies that match our ICP and score them for sales readiness."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Klarix Intelligence Engine to help me. It is a free service with an MCP server at https://mcp.klarix.ai/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- 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 bu
- 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 s
- 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 
- 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 ma
- 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, 
- 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, 
- 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, adjac
- 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 co
- 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 c
- 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-clic
- 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.
- detect_account_triggers: Detect recent account inflection points (leadership changes, funding, hiring surges, product updates, regulatory events) within a timeframe.
- teardown_tech_stack: Deconstruct an account's technical infrastructure, dev tools, cloud providers, AI/data stack, and identify displacement vulnerabilities.
- generate_displacement_playbook: Generate an end-to-end competitive displacement playbook with switching cost mitigations, POC blueprints, and migration timelines.
- 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.

Screening checks:
- MCP handshake: pass (Answered in 255ms)
- Domain against threat feeds (Cloudflare security DNS): pass (mcp.klarix.ai, klarix.ai not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (15 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)