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708,181 tools. Updated 2026-10-27 08:48

"Developing agents with expertise in the latest documentation" matching MCP tools:

  • Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.
    ConnectorNo auth
  • Update a forked agent's instructions (prompt) to the latest version of the system template it was created from. Use when the platform has improved a template and the user wants their forked agent to pick up the new prompt. This OVERWRITES the agent's prompt_text with the template's current prompt — any customizations to the prompt are replaced (recoverable via prompt history). Tool/model/execution settings are NOT changed. Only works on agents forked from a template (not from-scratch agents or templates themselves).
    ConnectorAPI key
  • Update a forked agent's instructions (prompt) to the latest version of the system template it was created from. Use when the platform has improved a template and the user wants their forked agent to pick up the new prompt. This OVERWRITES the agent's prompt_text with the template's current prompt — any customizations to the prompt are replaced (recoverable via prompt history). Tool/model/execution settings are NOT changed. Only works on agents forked from a template (not from-scratch agents or templates themselves).
    ConnectorAPI key
  • Update a forked agent's instructions (prompt) to the latest version of the system template it was created from. Use when the platform has improved a template and the user wants their forked agent to pick up the new prompt. This OVERWRITES the agent's prompt_text with the template's current prompt — any customizations to the prompt are replaced (recoverable via prompt history). Tool/model/execution settings are NOT changed. Only works on agents forked from a template (not from-scratch agents or templates themselves).
    ConnectorAPI key
  • Generate a PDF or Excel document from HTML (document_content) or a URL (document_url). Exactly one of document_content / document_url is required. By default the document is HOSTED and the tool returns a { download_url } you can fetch — ideal for agents (no large binary in the response). Set hosted:false to get the raw document back as base64, or async:true to enqueue a job and poll docraptor_get_document_status. IMPORTANT: real documents consume account credits (billed). Set test:true to generate a FREE, watermarked document while developing. DocRaptor API: POST /docs.
    Connector
    Destructive
    No auth
  • Fetch a portable, HMAC-signed expertise badge for an agent (yourself or another). WHEN TO USE - Before relying on a response from an unfamiliar agent, to check their per-category expertise tier and total ratings. - To display your own credibility to a user or third-party verifier. - To produce a verifiable badge envelope you can paste into off-platform contexts (signed payload + verify_url). WHEN NOT TO USE - For real-time consultation activity — use browse_consultations. - For raw rating history — the badge exposes aggregates, not individual ratings. BEHAVIOR - Read-only. Rate-limited to 60 req/min per agent. - agent_id is optional. If empty, returns the calling agent's own badge (auth required for self-lookup). If provided, returns the public badge for that agent (no auth required). - Returns: display_name, agent_id, member_since, posted/responded counts, per-category expertise tiers (level, useful_count/total_rated), HMAC-SHA256 signature over the canonical JSON payload, and a verify_url. - Third parties can POST {badge, signature} to the verify_url to confirm the payload was issued by Almured and not tampered with. - Returns a not-found error if agent_id does not resolve to an active agent. WORKFLOW - Pair with rate_response: ratings on your responses feed expertise tiers visible in this badge. - The signed envelope is the canonical way to surface Almured credibility outside this MCP server.
    ConnectorNo auth

Matching MCP Servers

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    MCP server that lets an AI analyst place real bets on Binance prediction markets, using Kelly criterion sizing, and tracks its performance through a transparent record of betting slips and outcomes.
    MIT

Matching MCP Connectors

  • MCP server for Vonage API documentation, code snippets, tutorials, and troubleshooting.

  • Your AI agent builds interactive block-based courses over MCP; take them at learnwithagents.app.

  • A guest's podcast-appearance profile: lifetime stats (appearances, distinct podcasts, first/last appearance) plus their most frequent podcasts. Guests are people — the same slug works with `particle_person_get` for the biographical profile. Request optional sections via `include`: 'appearances' for the most recent episode appearances (episode and podcast slugs included for follow-up calls), 'podcasts' for the per-podcast rollup, 'suitability' for brand-suitability exposure across the podcasts they appear on, 'recommended_podcasts' for the five shows they could plausibly appear on next — shows related to the ones they have guested on, with the venues behind each pick and each show's suitability tier, latest episode and chart breadth (the pitch list; branch on each row's band). It already leaves out every show they have appeared on, other feeds of those shows with the same host, shows that stopped publishing and UNSAFE shows, and ranks shows far smaller than their usual venues lower, so there is no need to check each pick's episodes, 'in_field_appearances' for the most recent appearances where they spoke within their own field of expertise (what they know is what the episode drew on; `particle_person_get` with `include: ["expertise"]` says what that field is). Returns not_found for people who exist but have never appeared on a podcast — use `particle_person_get` for those.
    ConnectorOAuth
  • Free short list of doctors in France for a need; use it first whenever the person needs a doctor, specialist or GP in France. Give at least one of need, specialty, place, name or hospital_finess. need = condition, procedure or focus, in French or English (e.g. 'endométriose', 'prothèse genou', 'knee replacement', 'cataract'; common English words are also searched in French); matched against the expertise and procedures doctors state, their official competences and university diplomas, hospital departments and roles, and specialty. specialty = French or English (e.g. 'cardiologie', 'dermatology', 'pédiatre', 'ORL', 'GP', 'généraliste'). place = city ('Lyon', 'Paris' includes all arrondissements), postcode ('75015'), arrondissement ('Paris 15', 'Lyon 3e'), département number ('69', '2A') or a practice or hospital name; a text match on practice addresses, not a distance search. Each result: doctor_id, name, gender, specialties (French, as registered), specialties_en, places (up to 3 practices, the ones matching place first), fee_sectors (Ameli category: Secteur 1 = standard fees; Secteur 2 = may charge extra; Non conventionné = not contracted, little reimbursed), optam (agreed to limit extra fees), match_basis (with a need: stated_expertise, official_competence, hospital_department_or_training, several_fields, specialty, specialty_usually_treats, partial), register (rpps, ameli_only = only in the Assurance Maladie directory, website_only = not matched to the official registers), warnings (e.g. barred from practising) and detail_has (what get_doctor adds). With a need, results are ranked by how directly the doctor's own data matches it: all its words in the expertise or procedures the doctor states, then in official competences or university diplomas, then in hospital department, role or training, then spread over several fields, then in the specialty name; then, when the need is a condition few doctors list, doctors in the specialty that usually treats it (specialty_usually_treats); then doctors matching only some of the words. Without a need, doctors with more data (stated expertise, official competences, profile pages) come first, then in a fixed shuffled order. Not ranked by quality, outcomes, fees or industry links. Then call get_doctor with the doctor_ids you are considering. Up to 10 results per search and paging stops at 30: narrow the need or the place instead of paging.
    ConnectorNo auth
  • Returns currently-available expert taglines (pseudonymous descriptions of the kinds of expertise on hand) plus the real-time count of online expert seats and estimated wait. Use this as a cheap pre-flight check before calling a paid tool. Taglines describe expertise kinds, not individuals: no per-expert PII is exposed. Free.
    ConnectorNo auth
  • Analyze a website URL for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). Evaluates content quality signals based on Google's Search Quality Rater Guidelines and "Creating helpful content" documentation. Detects EEAT signals including: - Experience: First-person language, case studies, testimonials, years of experience - Expertise: Author credentials, certifications, professional memberships, topic depth - Authoritativeness: Organization schema, awards, trust badges, media mentions - Trustworthiness: HTTPS, contact info, privacy policy, source citations Also detects YMYL (Your Money or Your Life) content for health, financial, and legal topics. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: EEAT analysis result with: - url: The analyzed URL - score: Overall EEAT score (0-100) - grade: Letter grade (A-F) - scores: Individual category scores (experience, expertise, authoritativeness, trustworthiness) - issues: Categorized issues (critical, warnings, info) - signals: Detected EEAT signals - meta: Extracted meta information - recommendations: Prioritized list of improvements - cached: Whether result was from cache
    ConnectorNo auth
  • Returns currently-available expert taglines (pseudonymous descriptions of the kinds of expertise on hand) plus the real-time count of online expert seats and estimated wait. Use this as a cheap pre-flight check before calling a paid tool. Taglines describe expertise kinds, not individuals: no per-expert PII is exposed. Free.
    ConnectorNo auth
  • Fetch the full content of a Fonto documentation page by its slug (the part of the URL after /latest/). Use search_fonto_docs or list_pages first to find the right slug.
    ConnectorNo auth
  • Get events V³ is currently tracking in BREAKING tempo — fast- moving stories under near-real-time monitoring right now. Use when the user asks "what's breaking", "any breaking news", or about a developing situation. Returns an empty list when nothing is in breaking tempo (a quiet news moment), which is itself a signal.
    ConnectorNo auth
  • Return the QuillAI developer documentation as markdown for agents that need to write integration code. Omit `topic` to get a short index (~500 words) with section titles. Pass `topic: "all"` for the full concatenated docs (~8k words). Pass `topic: "<section>"` (e.g. "authentication", "webhooks", "structured output") to get just that section.
    ConnectorOAuth
  • Search current first-party OpenAI, Microsoft Learn, AWS, and Cloudflare documentation in one call. Use this as the default documentation research tool for questions involving any of those providers, especially comparisons or cross-cloud architecture. Select only relevant sources when the provider is known; omit sources to search all four in parallel. Returns each provider result separately with partial-failure reporting and provenance. No account or API key is required.
    ConnectorNo auth
  • Read Traffic Parrot's product overview and documentation index (llms.txt), written for agents. Use it to judge whether Traffic Parrot fits your user's problem and to find the reference page for a protocol or feature. It assumes Traffic Parrot is already running. To start it from the trial download and create a first mock, call get_trial_onboarding.
    ConnectorNo auth
  • Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.
    ConnectorNo auth
  • Resolve a concrete project version or `latest` to documentation and artifact URLs. Discover valid version strings with list_versions first. Save resolved_version and, when present, revision_id. Use pinned_artifacts for exact text and pass revision_id as the snapshot field of later search_docs calls. Versions without a revision_id are still being archived; continue with their existing artifact URLs. Check version_provenance: dated captures and legacy_unverified labels do not establish a package-release match.
    ConnectorNo auth
  • Real-time crypto market news with sentiment analysis and top headlines ranked by importance, for $0.01 per call. One request, no parameters needed — get the latest market-moving stories as structured JSON, ready for trading agents and research pipelines. Relayed live from a proven upstream source; if the source is down you get a 503 and pay nothing. Pay per call in USDC on Base — no account, no API key.
    ConnectorNo auth
  • Patch the user's active brand profile — voice, themes, expertise areas, personality traits, hashtag set, audience-size estimates, or bio. Useful when the user wants Claude to refine their brand voice based on a transcript, style guide, or competitor analysis without leaving the conversation. Only the active profile is mutated; profile selection / creation must happen in the web app.
    ConnectorAPI key
  • Restricts the chat widget to the site's domains (subdomains included), so the widget token cannot be used on other sites. Send the production domain and any staging domain, e.g. ["example.com", "example.vercel.app"]. Send an empty list to allow any site (useful while developing on localhost).
    ConnectorOAuth