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471,109 tools. Updated 2026-08-23 19:17

"A platform for professional networking and career opportunities" matching MCP tools:

  • Perform a comprehensive 7-card career tarot spread using SWOT analysis framework (Strengths, Weaknesses, Opportunities, Threats) for professional guidance, business decisions, and vocational clarity. This career-focused reading examines seven strategic business aspects: Current Situation (your present professional position and workplace energy), Strengths (your professional assets, talents, and competitive advantages), Weaknesses (areas needing development, skill gaps, or limiting beliefs), Opportunities (potential growth paths, new ventures, or doors opening), Threats (obstacles, competition, or external challenges), Advice (actionable guidance for navigating your career path), and Outcome (where your professional journey is heading if you follow the guidance). Perfect for career coaching platforms, professional development apps, business consulting tools, job search websites, entrepreneurship platforms, and executive coaching services. Use for career transitions, job offers evaluation, promotion decisions, starting a business, workplace conflicts, finding your calling, or strategic career planning. Combines traditional tarot wisdom with modern SWOT business analysis for practical professional insight. Ideal for employees, entrepreneurs, freelancers, career changers, and anyone seeking vocational direction.
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  • Fetch a single social profile by (platform, username). Always use this first when the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram") and you need the full profile: bio, follower/engagement metrics, recent activity, growth, and the canonical creator ID. Pass exactly the username they typed without the @ sign — case-insensitive matching is handled server-side. Do not use `search_creators` for an exact platform+username lookup. Examples: - User: "Pull @niickjackson on Instagram" -> use this tool with platform "instagram" and username "niickjackson". - User: "Tell me about instagram.com/niickjackson" -> parse the platform and username, then use this tool. - User: "Is @niickjackson a fit for Pixel?" -> use this tool first, then call `get_posts` and/or `match_creators` if the task needs content or fit analysis. Returns the profile record plus the underlying creator record. If you already have a creator UUID, use `get_creator` instead. For batch lookups by handle, use `lookup_profiles`.
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  • Cost: ~2s. Artist career trajectory analysis: milestones, career stage, pattern detection (A–E), and comparable historical artists who followed the same path. Career stages: PRE_MARKET → REGIONAL → CRITICAL_PHASE → MARKET_ENTRY → ESTABLISHED. Patterns: A=institutional escalation, B=curator championing, C=movement anchor, D=late market discovery, E=diaspora rediscovery. Use for: emerging artist discovery, gallery acquisition decisions, curator narrative building. Do NOT use for purely biographical queries — use get_artist instead.
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Search published public fellowships, grants, scholarships, prizes, and funded residencies. For matching, start with separate broad calls for the exact topic, synonyms, broader fields, and type-only grants and fellowships. Do not stack sparse topic, career, and location filters during initial discovery. Array values are OR alternatives within one filter; separate filter fields are combined with AND. Search results are candidates only: call get_opportunity before ranking or citing each one.
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  • Rank published articles for a query and return them with titles and URLs. Use when you want sources to read rather than a single answer. Search is sense-aware: bare MSO promotes only the Hong Kong Money Service Operator owner, professional-industry context promotes the regulated-practice platform, and genuinely conflicting context returns both with an explicit interpretation object.
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Matching MCP Servers

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    Local-first MCP server for research on AI-assisted browsing of a user-owned professional-network account (e.g., LinkedIn), providing read-focused tools such as profile, company, search, and feed reads.
    MIT

Matching MCP Connectors

  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Return one section of Rafe Blandford's published record. Sections: - `profile` — who he is, what he is looking for, declared expertise and skills, awards, education, identifiers and how to contact him. - `career` — roles, dates, scope and highlights. Exactly what the /career/ page shows. - `case-studies` — the ten published case studies with their summary, lead outcome and a markdown_url for the full post; plus engagements named without a case study, which carry NO outcome claims. ⚠️ Case studies carry TWO kinds of claim. `summary` and `lead_outcome` come from the published post, so a reader can go and check them. `outcomes` is Rafe's own fuller account — self-attested, and it may go further than the post does. Each entry says so in `outcomes_evidence_basis`. Attribute it that way rather than as published fact, and never blend the two into one figure. - `provenance` — how authorship is labelled on this site, and the usage terms for the content. For writing, use search_writing to find a slug and get_post to fetch it. Everything returned is already public on rafeblandford.com.
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  • Current developer-platform plans and pricing: Free, Developer, and Professional tiers with monthly price, included API-call allowance, and overage rates. One metered allowance spans REST and MCP usage. No authentication required.
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  • Cost: ~3s. Discover emerging artists whose current KG footprint matches a historical career pattern. Patterns: A=institutional_escalation, B=curator_championing, C=movement_anchor, D=late_market_discovery, E=diaspora_rediscovery. Returns ranked candidates with confidence score, exhibition/market data, and signal summary. Use when: gallery wants a shortlist of artists at an early inflection point matching a proven pattern. Use when: curator is building a thematic exhibition and wants artists at the right career stage. Use when: collector wants names not yet on the market radar. Do NOT use when: you already have a specific artist in mind — use get_career_trajectory instead. Do NOT use when: you want to compare two artists — use compare_career_patterns instead. Coverage note: results depend on exhibition data ingested; artists with no exhibition records won't appear.
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  • Fetch a single social profile by (platform, username). Always use this first when the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram") and you need the full profile: bio, follower/engagement metrics, recent activity, growth, and the canonical creator ID. Pass exactly the username they typed without the @ sign — case-insensitive matching is handled server-side. Do not use `search_creators` for an exact platform+username lookup. Examples: - User: "Pull @niickjackson on Instagram" -> use this tool with platform "instagram" and username "niickjackson". - User: "Tell me about instagram.com/niickjackson" -> parse the platform and username, then use this tool. - User: "Is @niickjackson a fit for Pixel?" -> use this tool first, then call `get_posts` and/or `match_creators` if the task needs content or fit analysis. Returns the profile record plus the underlying creator record. If you already have a creator UUID, use `get_creator` instead. For batch lookups by handle, use `lookup_profiles`.
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  • Scan GitHub, Hacker News, and npm for new repos, packages, and discussions in the agent payments ecosystem (AP2, ACP, x402, MPP, UCP). Returns AI-classified and scored opportunities with recommended actions. Use when the user asks about recent activity, new developments, or opportunities in agent payments ('what's new in agent payments?', 'any new x402 repos?', 'scan for opportunities'). Use get_protocol_info instead for static protocol details, or compare_protocols for side-by-side comparison. Costs $0.01 USDC. Accepts: x402 (USDC on Base) or MPP (Tempo USDC).
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  • Historical arbitrage opportunities — top 5 per day (MCP-compatible) — Returns a daily history of the top 5 cross-exchange arbitrage opportunities detected by the platform. Each day entry lists the 5 highest-spread opportunities saved by the cron job, including token symbol, spread percentage, buy/sell exchanges, and average USD volume. Useful for AI agents answering questions like 'which tokens appear most frequently in arbitrage?' or 'what is the average daily spread?'. Data is accumulated daily; older than 180 days is automatically purged. Response: { days, history: [{date, opportunities: [{symbol, spreadPct, buyExchange, sellExchange, usdVolume}]}], total, updatedAt }. Query parameter: ?days=7 (default 7, max 180). No authentication required. 60 requests/min rate limit. 5-min in-process cache.
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  • List every service category Muovi supports in Argentina — home trades (electricidad, plomería, gas, pintura, carpintería, cerrajería, albañilería, herrería, techista), limpieza, jardinería, aire acondicionado, and moving/hauling: mudanzas (movers) and fletes (light freight/hauling). Every listed professional is identity-verified and reviewed, with on-platform payment and dispute resolution. Each entry has a stable `slug` (used as the `service` parameter on `muovi_search_professionals` and `muovi_create_task_link`), a human-readable `name`, an optional description, and a `requires_matricula` flag indicating whether listed professionals must hold a verified professional license. Call this first when you need to map a user's natural-language request to a Muovi service slug.
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  • Keyword search over everything published on rafeblandford.com — the FULL TEXT of every post, plus the About and Career pages. Deterministic by design: it matches titles, tags, excerpts and body text and ranks by a fixed score. No model, no embeddings — the same query always returns the same results. Returns metadata and an excerpt, not the body. Call get_post with a result's `slug` for the full text. A blank query returns the most recent items. Combine it with `topic` to browse one section of the site.
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  • List the 23 divisional (varga) charts available via 'get_divisional_chart'. Returns, for each chart, the 'request_as' value to pass as the 'varga' argument (e.g. 'D-9'), its 'name' (e.g. Navamsa) and 'purpose' (what life area it analyses — marriage, career, children, etc.). Use this to choose the right chart for a question, then call 'get_divisional_chart' with that varga. Takes no birth details. Data only — no interpretation is included.
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  • Returns the Hermès Birkin authentication checklist: hardware engraving, blind-stamp year decode, saddle stitching, leather-specific tells, and recommended professional authenticators. Call this for 'is this real', 'how to spot a fake', 'is it authentic', 'what should I check'. NEVER declare a bag real or fake yourself — quote the checklist and recommend a pro authenticator at the end.
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  • Route a user either to the FREE indicative valuation tool or to the right PAID package for professional valuation review, buyer/investor longlist, teaser and Information Memorandum, or full deal preparation. Paid checkout occurs securely on imergea.com only after human review and consent; this tool never books or takes payment.
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  • Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.
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