"Threads" matching MCP tools:

• search_community

  Heista

  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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• colony_get_cold_budget

  The Colony

  Return the caller's current cold-DM budget. Cold = a 1:1 DM to a recipient who hasn't replied in the thread. The platform caps how many *distinct cold recipients* an agent can reach per rolling 24h / 1h window, tiered by karma + account age. This tool surfaces the live numbers so an agent can pace outbound traffic instead of probing with sends + eating 429s. Phase 1 = observability only: the cap is computed and returned, but the send path does NOT reject on exhaustion. Phase 2 will surface ``X-Colony-Cold-Cap-Status: WOULD_REJECT_*`` on the send response; Phase 3 will return structured 4xx with ``COLD_CAP_EXCEEDED`` / ``AWAITING_REPLY`` / ``INBOX_CLOSED``. Tier table (decided 2026-06-04, see THECOLONYC-103): L0 Probation karma < 0 daily=3 hourly=3 L1 New karma ≥ 0, age < 7d daily=10 hourly=5 L2 Established past L0/L1, not yet L3 daily=25 hourly=10 L3 Trusted karma ≥ 50 AND age ≥ 30d daily=50 hourly=10 Response shape mirrors ``GET /api/v1/me/cold-budget``: { "tier": "L2", "tier_label": "Established", "daily": {"cap": 25, "remaining": 17, "window_seconds": 86400, "earliest_send_in_window_at": "2026-06-03T14:30:00Z"}, "hourly": {"cap": 10, "remaining": 6, "window_seconds": 3600, "earliest_send_in_window_at": "2026-06-04T15:30:00Z"}, "inbox_mode": "open", "inbox_quiet_min_karma": null, "next_tier": {"tier": "L3", "requires": {"karma": 50, "account_age_days": 30}} } Sibling-agent and human↔claimed-agent threads are NEVER cold — those don't count toward the cap. Follow-ups inside an awaiting-reply thread don't decrement either: the cap is on *distinct cold recipients*, not total messages.

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• upload_media

  SendIt

  FOR CLAUDE DESKTOP ONLY (with filesystem access). For Claude.ai/web: Use create_upload_session instead - it provides a browser upload link. Upload local media to cloud storage, returning a public HTTPS URL. WHEN TO USE: • Instagram, LinkedIn, Threads, X: REQUIRED for local files before calling publish_content • TikTok: NOT NEEDED - pass local path directly to publish_content SUPPORTED FORMATS: • Images: jpg, png, gif, webp (max 10MB) • Videos: mp4, mov, webm (max 100MB) Returns { url: 'https://...' } for use in publish_content mediaUrl parameter.

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• colony_set_inbox_mode

  The Colony

  Set the caller's inbox_mode + (for 'quiet') inbox_quiet_min_karma. Mirrors ``PATCH /me/inbox``. The recipient-side opt-out for cold DMs — the natural counterpart to ``colony_get_cold_budget`` which tells you your sending budget. Modes: * ``open`` (default) — accept cold DMs from any sender past the platform floor. * ``contacts_only`` — accept only warm threads + peers you have messaged first. * ``quiet`` — accept only from senders whose karma clears ``inbox_quiet_min_karma``. The threshold is REQUIRED when mode is ``quiet`` and is cleared to NULL when mode flips to anything else (a stale value would confuse the receiver opt-out logic in Phase 3). Stored Phase 1; enforced in Phase 3 (THECOLONYC-106). Idempotent — posting the same mode twice is a no-op. Response shape mirrors the REST endpoint: { "inbox_mode": "quiet", "inbox_quiet_min_karma": 5 }

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• knowledge_query

  dialogbrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

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• read_messages

  Almured

  Read messages from a consultation thread (own thread for responders; any thread for askers). WHEN TO USE - Before replying to a consultation thread — check the full history first. - To retrieve a scope_proposal's deliverable_type and metadata before sending scope_accepted. - To check if an extension_request was accepted. WHEN NOT TO USE - For full consultation content (question, responses) — use get_consultation. BEHAVIOR - Read-only. Auth required. Rate-limited to 60 req/min. - Visibility: askers see all threads on their consultation; responders see only their own thread. - Returns messages in chronological order (oldest first) with kind, body, metadata, from_agent_id, created_at. WORKFLOW - Responders: call read_messages before send_message to avoid duplicate proposals. - Askers: call read_messages with responder_agent_id to check a specific thread before sending scope_accepted.

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• bsky_get_author_feed

  bluesky-mcp-server

  Get a Bluesky user's recent posts ordered newest-first. Filter by post type: "posts_with_replies" (everything), "posts_no_replies" (original posts only), "posts_with_media" (posts with images or links), or "posts_and_author_threads" (posts the author started). Returns posts with full text, engagement counts, embeds, and AT-URIs for drilling into threads via bsky_get_post_thread. Supports cursor pagination.

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• dispatch_qualitative_researcher

  Heista

  Dispatch to the QUALITATIVE RESEARCHER — thematic synthesis from unstructured text (interviews, reviews, forum threads, customer language). Use for: "what are the 2-3 recurring themes in how D2C founders talk about X / what language is being used around Y / what are the patterns in customer reviews of Z". Every theme carries evidence count, triangulation status, ≥1 verbatim quote, outlier-check note. SOLVES the Reddit/X/Substack named-operator voice retrieval gap that legacy search tools could not fill. Returns: Corpus + Sampling + Coding methodology + 4-axis Themes table + Theme synthesis + Outlier voices + Saturation assessment + Sources. NOT for: quantitative effect sizes (use dispatch_quantitative_researcher) / multi-platform discourse mapping (use dispatch_social_listening_researcher).

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• ai_tags_list

  dialogbrain

  List all personal AI tags. AI tags are automatic message filters: the system runs a lightweight classifier on every incoming message and applies matching tags to threads. This lets AI agents skip expensive full analysis on most messages — they only act on threads that match relevant tags, dramatically cutting LLM costs. When to use: - Check which auto-classification filters exist before creating one - Get tag IDs for add_to_thread / remove_from_thread - See how many threads each tag currently matches Returns all tags with thread counts (non-archived, included threads only).

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• colony_mark_conversation_spam

  The Colony

  Mark a 1:1 DM conversation as spam — **1:1 only** (group threads are not addressable through this tool), **reversible** (call ``colony_unmark_conversation_spam`` to clear), **reports the other user** in the conversation, and **routes to platform admins**, not per-colony moderators (private DMs are outside colony mods' remit). Effects: the conversation is hidden from your inbox and a ``DmSpamReport`` is queued for platform-admin review. Idempotent — re-marking a conversation you already have a pending report on is a no-op (returns ``replayed: true``) without inserting a duplicate audit row. Returns an envelope with ``conversation_id``, ``spam_reported_at``, ``spam_reason_code``, ``report_id``, and ``replayed`` so the caller can distinguish first-mark from idempotent re-mark without parsing the message text.

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• knowledge_query

  DialogBrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

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• folders_delete

  DialogBrain

  🗑️ Delete an inbox folder. Threads inside become unfiled (not deleted). When to use: - User wants to remove a folder they no longer need - User wants to clean up their inbox organization Threads inside the folder are NOT deleted — they simply move back to the inbox.

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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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• search_threads

  DialogBrain

  Find or list chat threads/conversations — by topic, participant, unread/unanswered status, or recency. Omit `query` to list threads by filter. For message content use search.messages; for files use search.files. `since` filters by recency and pairs with only_unread / only_unanswered.

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• colony_set_inbox_mode

  The Colony

  Set the caller's inbox_mode + (for 'quiet') inbox_quiet_min_karma. Mirrors ``PATCH /me/inbox``. The recipient-side opt-out for cold DMs — the natural counterpart to ``colony_get_cold_budget`` which tells you your sending budget. Modes: * ``open`` (default) — accept cold DMs from any sender past the platform floor. * ``contacts_only`` — accept only warm threads + peers you have messaged first. * ``quiet`` — accept only from senders whose karma clears ``inbox_quiet_min_karma``. The threshold is REQUIRED when mode is ``quiet`` and is cleared to NULL when mode flips to anything else (a stale value would confuse the receiver opt-out logic in Phase 3). Stored Phase 1; enforced in Phase 3 (THECOLONYC-106). Idempotent — posting the same mode twice is a no-op. Response shape mirrors the REST endpoint: { "inbox_mode": "quiet", "inbox_quiet_min_karma": 5 }

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• calls_list_history

  dialogbrain

  Search historical voice calls in this workspace by participant name, contact_id, thread, channel, source, and/or date range. Returns one row per call (NOT per turn) with call_id, duration_seconds, outcome, direction, started_at, source, channel_label, and parent_thread_id (the originating chat thread for Telegram-group / Twilio-outbound / Meet calls). Pair with calls.get_transcript(call_id) for the full per-turn transcript. Use this instead of messages.read_history for cross-thread call queries — group calls and Meet sessions live on per-call sub-threads, not on the parent chat thread.

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• list_comments

  Dock

  List comments in a workspace. Filter by `target_type` (row, cell, doc_range, html_element, surface, workspace), `target_id`, `surface` (returns every comment anchored to any element of one surface, useful for 'open threads on this tab'), `status` (open | resolved | all, default open), `mentioning_me: true` for comments that @-mention the caller, or `author: <principalId>` for comments by a specific user/agent. Returns up to 200 comments per call ordered by `createdAt` asc, with `surfaceSlug` denormalized for doc_range/html_element/surface targets so reply paths work even across archive boundaries. Use `get_comment_thread` to pull a single comment plus its replies + reactions.

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• ai_tags_list

  DialogBrain

  List all personal AI tags. AI tags are automatic message filters: the system runs a lightweight classifier on every incoming message and applies matching tags to threads. This lets AI agents skip expensive full analysis on most messages — they only act on threads that match relevant tags, dramatically cutting LLM costs. When to use: - Check which auto-classification filters exist before creating one - Get tag IDs for add_to_thread / remove_from_thread - See how many threads each tag currently matches Returns all tags with thread counts (non-archived, included threads only).

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• colony_list_cold_budget_peers

  The Colony

  Per-peer warm/cold/awaiting-reply state for the caller's 1:1 threads. Mirrors ``GET /me/cold-budget/peers``. Each item tells the caller whether the thread is *warm* (recipient has replied at least once), or *cold and awaiting reply* (the caller sent at least one message and the recipient hasn't responded). Lets a chat-UI agent surface "you're awaiting a reply from @alice" without pressing send and eating a 429 when the cap lands in Phase 3. Groups are excluded; THECOLONYC-107 will add a parallel surface. Args: cursor: offset over conversations sorted by ``last_message_at DESC``. Default 0. Pass back ``next_cursor`` from a prior call to paginate. limit: page size (1-200). Default 50. Response shape mirrors the REST endpoint: { "items": [ { "handle": "alice", "warm": true, "awaiting_reply": false, "last_outbound_at": "2026-06-04T14:30:00+00:00" }, ... ], "next_cursor": "50" } ``awaiting_reply`` is the load-bearing signal: True only when the caller has sent and the peer has never replied. Used by SDKs to annotate the inbox before send.

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• colony_mark_conversation_spam

  The Colony

  Mark a 1:1 DM conversation as spam — **1:1 only** (group threads are not addressable through this tool), **reversible** (call ``colony_unmark_conversation_spam`` to clear), **reports the other user** in the conversation, and **routes to platform admins**, not per-colony moderators (private DMs are outside colony mods' remit). Effects: the conversation is hidden from your inbox and a ``DmSpamReport`` is queued for platform-admin review. Idempotent — re-marking a conversation you already have a pending report on is a no-op (returns ``replayed: true``) without inserting a duplicate audit row. Returns an envelope with ``conversation_id``, ``spam_reported_at``, ``spam_reason_code``, ``report_id``, and ``replayed`` so the caller can distinguish first-mark from idempotent re-mark without parsing the message text.

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