"Comment perdre du poids (How to lose weight)" matching MCP tools:

• build_source_url

  justicelibre

  Construit l'URL canonique d'un document à partir de son identifiant. Utile pour vérifier les sources à la main sur le site officiel (Légifrance, Conseil constitutionnel, EUR-Lex, HUDOC, etc.) ou pour inclure un lien cliquable dans un courrier. Identifiants reconnus : - `LEGIARTI*` → Légifrance article (passer `legitext` du texte parent pour distinguer code (/codes/) vs loi non codifiée (/loda/) - `LEGITEXT*` / `JORFTEXT*` → texte entier Légifrance - `JURITEXT*` / `CONSTEXT*` / `CETATEXT*` → décisions Légifrance - CELEX (`6XXXXCJXXXX`) → EUR-Lex (CJUE) - `ECLI:*` → EUR-Lex deeplink - itemid HUDOC (`001-XXXXXX`) → Cour EDH - ArianeWeb (`/Ariane_Web/AW_DCE/|XXXXXX`) → conseil-etat.fr Args: identifier: l'ID à convertir legitext: (optionnel) LEGITEXT du texte parent si `identifier` est un LEGIARTI — améliore la précision de l'URL (codes/ vs loda/) date: (optionnel, YYYY-MM-DD) — appendé à l'URL Légifrance pour pointer vers la version de l'article en vigueur à cette date (ex: `/loda/article_lc/LEGIARTI.../2023-01-01`). Indispensable pour vérifier l'état du droit à une date historique, sinon Légifrance affiche la version courante même si l'article a été abrogé depuis. Returns: `{"id", "source_url"}` ou `{"error"}` si format non reconnu.

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• explain_queueing_theory

  QueueSim

  Return a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates to Erlang-C. No inputs. Use this when the user asks a conceptual 'why' or 'how does this work' question rather than asking for a number.

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• nanmesh.trust.favor

  NaN Mesh

  Instant community signal — no registration, no key. Just slug + direction. Use when you want to quickly express trust (up) or distrust (down) on any entity. Community favors are 0.1x weight. For 10x weight, use nanmesh.trust.review instead.

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• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• awaken

  Penfield Memory

  ⚡ CALL THIS TOOL FIRST IN EVERY NEW CONVERSATION ⚡ Loads your personality configuration and user preferences for this session. This is how you learn WHO you are and HOW the user wants you to behave. Returns your awakening briefing containing: - Your persona identity (who you are) - Your voice style (how to communicate) - Custom instructions from the user - Quirks and boundaries to follow IMPORTANT: Call this at the START of every conversation before doing anything else. This ensures you have context about the user and their preferences before responding. Example: >>> await awaken() {'success': True, 'briefing': '=== AWAKENING BRIEFING ===...'}

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• resolve_location

  booking

  Resolve a free-text location (city, airport, hotel, station, full address) to a canonical address + coordinates, using the same geocoder that Zeplan consumes for bookings. Use this BEFORE get_quote when the customer gives a fuzzy pickup/drop-off (e.g. 'CDG', 'Le Bristol', 'Gare du Nord', raw GPS). Returns up to 5 candidates with place_id, full address, type hint, and optionally coordinates.

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• em_rate_agent

  Execution Market

  Rate an AI agent after completing a task (worker -> agent feedback). Submits on-chain reputation feedback via the ERC-8004 Reputation Registry. Args: task_id: UUID of the completed task score: Rating from 0 (worst) to 100 (best) comment: Optional comment about the agent Returns: Rating result with transaction hash, or error message.

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• search_decisions_citing

  justicelibre

  Cherche les décisions qui citent EXPLICITEMENT un article de loi donné. Exploite l'index FTS5 sur les sources jurisprudence disponibles pour matcher les formulations courantes de citation (`"article 1382 du code civil"`, `"art. L. 1152-1 du Code du travail"`, etc.). Cross-référencement inverse : partant d'un article, on trouve la jurisprudence pertinente. **LIMITATION CONNUE** : ce tool trouve UNIQUEMENT les citations explicites du numéro d'article. Il ne capte PAS : - les références indirectes ("conformément aux dispositions du Code civil relatives à la responsabilité délictuelle…") - les renvois à une section entière sans numéro précis - les citations du code par abréviation seule sans article ("en vertu du CT") Pour une recherche conceptuelle plus large, préférer `search_all` avec l'expansion thésaurus (ex: "harcèlement" → inclut "intimidation" etc.). Args: code: code court de l'article (ex : "CT", "CC") num: numéro de l'article (ex : "L1152-1", "1240") sources: liste optionnelle de sources à interroger parmi ["dila", "jade", "cedh", "cjue"]. Par défaut : toutes. limit: nombre de décisions par source (défaut 20, max 50) Returns: dict `{"code", "num", "total", "per_source": {source: count}, "decisions": [{source, id, juridiction, date, title, extract}]}`

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• get_about

  cricket-travel

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• em_rate_worker

  Execution Market

  Rate a worker after reviewing their submission. Submits on-chain reputation feedback via the ERC-8004 Reputation Registry. If no score is provided, a dynamic score is computed from the submission. Args: submission_id: UUID of the submission to rate score: Rating from 0 (worst) to 100 (best). Optional — auto-scored if omitted. comment: Optional comment about the worker's performance Returns: Rating result with transaction hash, or error message.

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• list_profiles

  Unphurl

  List all custom scoring profiles on this account. Returns profile names and their custom weight overrides. Profiles are named weight sets that change how Unphurl scores URLs. Different use cases need different scoring. A cold email agent cares about dead domains. A security bot cares about phishing. Profiles let one account serve multiple use cases. Profiles only override specific weights. Any signal not specified in a profile uses the default weight. Use show_defaults to see all 25 signals and their default weights.

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• colony_edit_comment

  The Colony

  Edit your own comment. Only works within 15 minutes of posting. Requires authentication.

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• ado_post_comment

  ALM X++ MCP Server

  WHEN: user explicitly asks to post, add, or save a comment to an ADO Work Item. [~] PRIORITY TRIGGER: call AFTER `ado_analyze_workitem` when user says 'post the analysis', 'save it to the ticket', 'ajoute en commentaire'. WARNING: ALWAYS ask for explicit user confirmation before calling this tool. Recommended workflow: (1) call `ado_analyze_workitem`, (2) show analysis to the user, (3) ask 'Shall I post this comment to Work Item #X?', (4) only then call this tool. Requires DEVOPS_ORG_URL + DEVOPS_PAT with Work Items: Write permission.

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• get_slidev_guide

  Slidev MCP

  Get the Slidev syntax guide: how to write slides in markdown. Returns the official Slidev syntax reference (frontmatter, slide separators, speaker notes, layouts, code blocks) plus built-in layout documentation and an example deck. Call this once to learn how to write Slidev presentations.

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• ai_tags_delete

  DialogBrain

  Delete a personal AI tag. All thread associations are removed automatically. When to use: - User wants to permanently remove a tag they no longer need This cannot be undone. Threads are NOT deleted — they just lose this tag.

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• update_template_metadata

  Carbone MCP

  Update the metadata of a stored template: name, comment, category, tags, deployment timestamp, or expiration. Use deployedAt to activate a specific version for rendering. Use expireAt to schedule or trigger immediate deletion.

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• create_profile

  Unphurl

  Create or update a custom scoring profile. Profiles are sparse overrides: only specify the weights you want to change. Everything else keeps its default value. If a profile with this name already exists, it is updated with the new weights (full replacement, not merge). Weights are points, not percentages. Each weight is the number of points that signal adds to the score when it fires. They don't need to total 100. A profile with weights totalling 90 is conservative (max possible score is 90). A profile with weights totalling 130 is aggressive (multiple signals quickly push to the cap of 100). The threshold the agent sets for action matters more than the weight totals. Use show_defaults to see all 25 signals with their default weights and descriptions before creating a profile. Use check_url or check_urls with the "profile" parameter to score results with this profile. Maximum 20 profiles per account. Profile name "default" is reserved. Common profiles: - Cold email: weight parked (30), chain_incomplete (25), ssl_invalid (15) higher. Lower brand_impersonation (10). - Security bot: keep brand_impersonation high (40), increase domain_age_7 (30), redirects_5 (25). - Lead gen: weight parked (35), http_only (20), chain_incomplete (20) for dead business detection. - SEO audit: weight redirects_5 (30), chain_incomplete (30), parked (25) for link quality. See the Unphurl API documentation for all 19 use case weight examples.

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• simulate_stake

  Solentic

  Project staking rewards before committing capital. Returns compound interest projections (daily/monthly/annual/total), effective APY after compounding, activation timing, fee reserve guidance, and a natural-language recommendation. Use this to help decide how much to stake and for how long.

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• save_comment

  linear

  Create or update a comment on a Linear issue. If `id` is provided, updates the existing comment; otherwise creates a new one. When creating, `issueId` and `body` are required.

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• cancel_booking

  1stay

  Cancel a hotel reservation. Cannot be undone. REQUIRED — must collect ALL before calling: 1. Guest first name AND last name 2. Hotel confirmation number Always confirm with the guest before proceeding. Remind them if the rate was non-refundable — canceling means they lose the full amount. To change dates: search for new dates first, book the new reservation, THEN cancel the old one. Never cancel first — they could lose the room. Cancellation confirmation is emailed to the address on file.

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