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206,803 tools. Last updated 2026-06-17 15:46

"LinkedIn search functionality" matching MCP tools:

  • Community-discourse search via parallel.ai with optional platform filtering. Returns synthesized text excerpts plus direct URLs to real Reddit threads, X posts from named operators, Substack essays, LinkedIn posts, Facebook posts. Use for: "what are practitioners saying about X", recurring themes in founder voice, multi-platform discourse mapping, verbatim quotes from named individuals. Per Phase 3.5 empirical A/B (Docs/solutions/architecture-decisions/search-backend-architecture-jun04.md): this tool SOLVES the Reddit/X retrieval gap that perplexity_search fundamentally couldn't fill. Optional platforms[] to restrict (e.g. ["reddit","x","substack"]). Per social-listening-synthesis §3 sample ≥3 platforms per brief.
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  • Schema revision: creative-comparison-account-tabs-v4. User-facing LinkedIn creative comparison visual report renderer. Use this directly when a user asks for a LinkedIn creative comparison visual report, creative performance report, creative winners/losers, or which creative concepts are performing strongest. It renders the visual MCP app with Overall/campaign views, creative action cards, primary results, diagnoses, and bottleneck diagnosis. It can either take comparisonPayload from linkedin_compare_creative_performance or fetch the comparison directly. For account-wide creative analysis, pass accountId and omit campaignId/campaignIds, or pass advertiserName/query so saved advertiser context or live account-name matching can resolve the LinkedIn account. For campaign-specific creative analysis, pass campaignId or campaignIds; if accountId is also supplied as parent context, set scope to campaign when possible. accountId plus campaignIds is accepted as a campaign-set compatibility shape. Session memory is not used to choose this tool's scope.
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  • Check whether the user's LinkedIn account is connected and active. Returns the connection state and, if not connected/blocked, how to fix it. Call this first when another tool returns code ACCOUNT_NOT_CONNECTED or ACCOUNT_BLOCKED. profile_id is optional — defaults to the active/first profile.
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  • 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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  • 🔗 Link a new channel identity (email, phone, LinkedIn, etc.) to an existing contact. When to use: - User learns a contact's email or phone and wants to save it - User wants to link a LinkedIn/Instagram profile to an existing contact - Adding a second channel for an existing person Requires contact_id (entity_id) from contacts.find.
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  • Create a LinkedIn post on behalf of a connected profile. By default the post is saved as a 'draft' in the LinkedIn Posts page so the user can review/edit it before publishing. Set auto_publish=true to publish immediately — that path still respects the user's MCP human-in-the-loop setting (when approval is required, the post stays as a draft and the user must publish it from the LinkedIn Posts page in the app). A random 30–180 s anti-detection delay is applied before the publish call. Attachments are not supported via MCP — add images in the in-app post editor.
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  • P116 — paste-what-you-see metric fallback for channels without public-API measurement (X, LinkedIn, Email, landing pages, Product Hunt). USE WHEN a published action's channel doesn't have a public-JSON metrics endpoint (anything except hacker_news / reddit) AND the founder is ready to paste the visible numbers. Reads metadata.proof.artifactUrl to confirm the post is recorded, writes the provided metrics into metadata.proof.metrics + measuredAt, auto-classifies the outcome (channel-specific thresholds: X needs likes/replies, LinkedIn needs reactions/comments, Email needs opens/clicks/replies, etc.), and creates next-move actions just like the auto-measurement path. Returns the metric schema for the channel so callers can render the right form fields.
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  • 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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  • Send a message to a thread, channel, or contact. Supports Telegram, Email, LinkedIn, and other connected channels. For LinkedIn posts (comment_thread kind), this posts a comment on the post. Can automatically resolve recipients and channels when not specified. Can send files/images/documents as attachments — pass `attachments=[file_id, ...]` with integer file IDs obtained from collections.list_files, search.files, or files.search. `text` is optional when attachments are provided.
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  • Searches creatives within a specific LinkedIn Ad Account. This is an inventory/discovery tool for creative IDs, names, statuses, and campaign associations. Do not use it as the primary creative performance tool when a user asks for impressions, clicks, spend, or creative winners/losers; prefer linkedin_compare_creative_performance or linkedin_render_creative_comparison for that. If accountId is omitted, the most recent LinkedIn account from session memory is used when available.
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  • Data tool that finds LinkedIn campaigns by name across one account or all accessible accounts, ranks likely matches, and returns compact campaign identity data for disambiguation. For the user-facing picker UI, prefer render_shared_picker.
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  • P116 — paste-what-you-see metric fallback for channels without public-API measurement (X, LinkedIn, Email, landing pages, Product Hunt). USE WHEN a published action's channel doesn't have a public-JSON metrics endpoint (anything except hacker_news / reddit) AND the founder is ready to paste the visible numbers. Reads metadata.proof.artifactUrl to confirm the post is recorded, writes the provided metrics into metadata.proof.metrics + measuredAt, auto-classifies the outcome (channel-specific thresholds: X needs likes/replies, LinkedIn needs reactions/comments, Email needs opens/clicks/replies, etc.), and creates next-move actions just like the auto-measurement path. Returns the metric schema for the channel so callers can render the right form fields.
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  • Fetch a single breach by name (the "Name" field from list_breaches, e.g., "Adobe", "LinkedIn"). Returns full breach metadata.
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  • 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: 30/hr, Pro: 500/hr. Returns {username, total_found, platforms: [{name, exists, url, status_code}]}.
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  • Provides explanatory text for STRING features and limitations. Use this tool when the user question involves: - What is STRING is or how to use the tool (how_to_use_string, cytoscape) - functionality not available via MCP tools (e.g. GSEA, regulatory networks, large datasets). - meaning of the lines in the network (line_colors)
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  • AI/LLM-optimized web search built for RAG: returns a synthesized natural-language answer plus a ranked list of sourced results (title, url, content snippet, relevance score). Prefer this over scraping a generic search engine when you need grounded, citable web context. Example: search({ query: "latest SpaceX Starship test result" })
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  • Raw LinkedIn ad analytics data tool for focused follow-up metric pulls at account, campaign, or creative level. Do not use this as the primary response for broad user-facing prompts like 'generate a report', 'show my LinkedIn report', or 'dashboard'; prefer linkedin_render_weekly_group_report for account/ad-account reports, linkedin_render_campaign_analysis for campaign analysis, or linkedin_render_creative_comparison for creative-performance reports. When accountId or campaignId is omitted, recent LinkedIn session selections are used when available.
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  • Fetches all LinkedIn Ad Accounts the authenticated user has access to. Returns their URN ID, name, currency, and status. Use this to find the target Account ID.
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  • Raw data tool for comparing LinkedIn performance across two explicit date windows. Returns validated absolute and percentage deltas for core metrics. Do not call this directly for user-facing prompts like 'generate a report' or 'show a report'; prefer linkedin_render_weekly_group_report for broad account/ad-account reports. Defaults to account scope; pass campaignId to narrow to one campaign. If accountId is omitted, the most recent LinkedIn account from session memory is used when available.
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  • Data tool for the current user's MCP/Auth0, LinkedIn Ads, and Google Ads connection status plus the exact setup URLs to continue the flow in a browser. For the user-facing setup UI, prefer render_auth_setup_status.
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