"Finding people named Altman on LinkedIn" matching MCP tools:

• automation_list

  Perspective AI

  Lists every automation configured on a perspective with its trigger, channel (sensitive details redacted), execution mode, enabled state, schedule description, and recent error/success metadata. Behavior: - Read-only. - Errors when the perspective is not found or you do not have access. - Sensitive parts of channel delivery (e.g., webhook auth headers, full URLs) are redacted before being returned. - has_error / last_error / last_error_at / failure_count appear only when there have been recent failures. When to use this tool: - Auditing what's wired up on a perspective before adding more automations. - Finding an automation_id to feed into automation_update, automation_delete, or automation_test. - Diagnosing a failing automation via last_error / failure_count. When NOT to use this tool: - Creating a new automation — use automation_create. - Toggling enabled or changing config — use automation_update. - Verifying delivery actually works — use automation_test.

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• edit_scene

  Web3d-mcp

  Apply targeted modifications to an existing scene_data object. WHEN TO CALL: - After validate_scene returns is_valid: false - When the user requests a style, material, animation, or position change to an already-generated scene - Do NOT call this to create a new scene — use generate_scene instead WHAT THIS TOOL CAN MODIFY: - background: color and style preset - material: for all objects or a named object - animation: add or replace animations on objects - position: move a named object or the primary object - lighting: intensity adjustments (darker / lighter) - design_tokens: kept in sync with all changes automatically WHAT THIS TOOL CANNOT DO: - Add new objects to the scene (use generate_scene for this) - Remove existing objects (out of scope in current version) - Change camera position or FOV - Modify individual mesh geometry INPUT: - scene_data: the full scene_data object from generate_scene or a previous edit_scene call - edit_prompt: a plain-language description of the desired change EDIT PROMPT EXAMPLES: - "make it darker" → dims ambient lighting, deepens background - "make the material glass" → applies glass_frost to all objects - "add spinning motion" → appends rotate animation, keeps existing - "move the robot up" → moves object named "robot" up by 1 unit - "change animation to float only" → replaces all animations with float - "make it neon" → applies neon material + neon_edge lighting OUTPUT: - scene_data: updated scene with all changes applied - edit_summary: { applied[], skipped[], warnings[] } PIPELINE POSITION: generate_scene → validate_scene → [edit_scene if invalid] → validate_scene (re-run) → synthesize_geometry → generate_r3f_code

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• bulk_schedule

  SendIt

  Schedule multiple posts at once from CSV content. USE THIS WHEN: • User has a spreadsheet or list of posts to schedule • Planning a content calendar for a month • Migrating content from another tool CSV FORMAT (required columns): • platform: linkedin, instagram, x, tiktok, threads • scheduled_time: ISO 8601 format (e.g., 2024-02-15T10:00:00Z) • text: Post content/caption OPTIONAL COLUMNS: • media_url: Image or video URL • first_comment: First comment to add (Instagram/LinkedIn) • hashtags: Additional hashtags to append PROCESS: 1. First call with validate_only: true to check for errors 2. Review validation report with user 3. Call again with validate_only: false to execute import

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• compare_gear

  outdoorithm

  Compare 2-3 gear items side-by-side with specs, pros/cons, verdicts, and comparison summary. Supports lookup by unique_id with slug fallback. Use search_gear first if the user hasn't named specific products. Args: gear_ids: List of 2-3 gear item identifiers (unique_id or slug)

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• semantic_search

  Zoning Signal

  Semantic search across the full corpus — every place dossier, corridor signal, meeting reading, and named-pattern brief. Returns results ranked by cosine similarity in a 1024-dimensional embedding space (Voyage AI 4 + Supabase pgvector). Use when the agent does not know the canonical entity slug or named-pattern title in advance — the search returns the readings whose semantic structure best matches the natural-language query, with type, title, similarity, and resolved URL per hit. Threshold 0.55, top 12.

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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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• move_rows

  Dock

  Atomically move N rows from their current sheet(s) to a target sheet inside the same workspace. Use for programmatic data migration: dropping a batch of agent-produced drafts onto the right sheet, reorganizing content across LinkedIn / Twitter / Substack tabs, etc. All-or-nothing: if any rowId doesn't belong to this workspace, the entire batch fails before any write fires. Idempotent: rows already on the target sheet are skipped (returns `skipped` count). Rows land at the destination sheet's tail in the order rowIds was supplied. Emits one `row.moved_surface` event per row that actually moved. Up to 500 rows per call.

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• todo

  Fast.io

  Todo checklist operations. List, create, view, update, delete, toggle, and bulk-toggle todos scoped to workspaces and shares. Responses include `created_by` (user ID of creator). Requires workflow to be enabled on the target entity (workspace action enable-workflow or share action enable-workflow). On shares, requires admin or named member role. Destructive action: delete soft-deletes a todo. Actions & required params: - list: profile_type, profile_id (+ optional: sort_by, sort_dir, filter_done, limit, offset, format) - create: profile_type, profile_id, title (+ optional: assignee_id) - details: todo_id (+ optional: format) - update: todo_id (+ optional: title, done, assignee_id) - delete: todo_id [DESTRUCTIVE] - toggle: todo_id - bulk-toggle: profile_type, profile_id, todo_ids, done - filtered-list: profile_type, profile_id, filter (+ optional: limit, offset, format) - summary: profile_type, profile_id (+ optional: format)

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• suggest_entity

  connect

  Search for existing entities (people, galleries, museums, auction houses, institutions, foundations, collectors) by name. Use this before creating a new entity to check for duplicates — the system includes ~2,500 major galleries, museums, and auction houses. Returns matching entities for autocomplete-or-create flow. If no match is found, create a new entity via create_entity.

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• export_asset

  Web3d-mcp

  Package generated 3D scene output into downloadable files. Formats: r3f -> Packages R3F code into a named .tsx file. Requires r3f_code string from generate_r3f_code. Does NOT regenerate code - it packages what you give it. json -> Packages scene_data into a named .json file. Requires scene_data object from generate_scene. Call order: For .tsx file: generate_r3f_code(scene_data) -> export_asset({ r3f_code, format: "r3f" }) For .json file: generate_scene(scene_plan) -> export_asset({ scene_data, format: "json" }) For visual preview of the scene layout, use the preview tool instead. preview tool returns SVG wireframe + spatial validation. export_asset does not generate previews. Do NOT pass synthesized_components to export_asset. Pass them to generate_r3f_code, then pass the resulting r3f_code here.

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• find_trails_near_location

  AllTrails

  Find hiking, running, biking, backpacking or other trails for outdoor activities near a set of coordinates within an optional specified maximum radius (meters). Use this tool when the user: * Requests trails near a specific point of interest or landmark. * Requests trails near a named location within a specified radius or accessible within a specified time constraint. * Provides specific latitude and longitude coordinates. For most named places, use the "search within bounding box" tool if possible. Use this tool as a fallback when the bounding box of the named place is unknown. Users can specify filters related to appropriate activities, attractions, suitability, and more. Numeric range filters related to distance, elevation, and length are also available. These filter values MUST be specified in meters. In the response, length and distance values are returned both in meters and imperial units. These MUST be displayed to the user in the units most appropriate for the user's locale, e.g. feet or miles for US English users.

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• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

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• search_sic_codes

  SIC Codes UK

  Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.

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• search_sic_codes

  SIC Codes UK

  Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.

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• list_spending_opportunities

  Swarm Tips — Aggregated AI Agent Activities

  [READ] Aggregated list of paid services swarm.tips agents can spend on. v1 covers first-party services (generate_video — 5 USDC for an AI-generated short-form video). External spend sources (Chutes inference at llm.chutes.ai/v1, x402-paywalled APIs, etc.) are deferred to follow-up integrations. Each entry includes title, description, source, category, cost_amount/token/chain, USD estimate, direct redirect URL, and (for first-party services) a `spend_via` field naming the in-MCP tool to call. Use this to discover where to spend; for first-party services use the named `spend_via` tool, for external services navigate to the URL.

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• shillbot_get_attestation

  Swarm Tips — Aggregated AI Agent Activities

  [READ] Fetch a portable AAS v0 attestation for a Verified Shillbot task. Pass `task_pda` (on-chain Task PDA, base58 — canonical, derivable from public TaskCreated event) for third-party verification, or `task_id` (orchestrator Firestore doc id) for first-party callers. Exactly one is required. Optional `network`: 'mainnet' (default) or 'devnet'. Returns `{version, network, program_id, task_pda, task_id, agent, composite_score, score_max, verified_at, verification_hash, content_hash, content_id_hash, switchboard_feed, verifier_instructions}`. Re-read the named PDA to verify; MCP does not sign. Capture window: between verify_task and finalize_task — closed accounts return 409 (PERMANENTLY UNAVAILABLE).

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• username_lookup

  ContrastAPI

  Search for username across 15+ social/dev platforms (GitHub, Reddit, X/Twitter, LinkedIn, Instagram, TikTok, Discord, YouTube, Keybase, HackerOne, etc.). Use for OSINT investigations and identity verification. Free: 100/hr, Pro: 1000/hr. Returns {username, total_found, platforms: [{name, exists, url, status_code}]}.

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• current_named_patterns

  Zoning Signal

  List every named pattern currently being tracked across the regional field. A named pattern is a coined recurring structure observed across multiple jurisdictions or multiple meetings (e.g., "The Quiet Revolution"). Returns pattern name, anchoring brief, brief URL, and spatial coverage.

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• check_secrets

  ContrastAPI

  Scan source code (or snippet) for hardcoded secrets — cloud provider keys, API tokens, connection strings, private keys, passwords. Supports Python, JavaScript, TypeScript, Java, Go, Ruby, Shell, Bash. Use to detect leaked credentials before commit; for injection detection use check_injection. Free: 100/hr, Pro: 1000/hr. Returns {total, by_severity, findings}. No data stored. The generic password-assignment rule is suppressed when a more-specific credential rule fires on the same line — one targeted finding per leaked secret, not two.

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• search_community

  MetaMask Embedded Wallets (Web3Auth) MCP

  Search or fetch posts from the MetaMask Embedded Wallets community forum (builder.metamask.io). Use for troubleshooting real user issues, finding workarounds, and checking if an issue is known. Provide a query to search or a topic_id to read the full discussion.

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