Klarix MCP server

• Registry nameai.klarix/intelligenceverified in the MCP registry

The registry name sits under klarix.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-23
• Tools15
• Server calls itselfklarix-intelligence
• Server version0.1.0
• Protocol version2025-06-18

On 2026-10-23 the server answered initialize and tools/list without a sign-in. First answer in 137 ms.

• Whether its tools do the product's job has not been judged yet.
• Checked on 3 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
• Answeredmeasuring3 of the 7 daily checks it takes to print a share
• Median first answer137 ms
• Space in an agent's context≈ 7,166 tokensthe definitions of all its tools (15), which an agent carries on every turn
• Tool definitionsA · 100 of 100
• Typed results15 of 15 toolsdeclared outputSchema: results come typed, read once

• Every tool passes all six checks.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• 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…

• 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…

• 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…

• 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…

• 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…

• 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…

• 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…

• 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…

• 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…

• 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…

• 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…