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232,226 tools. Last updated 2026-06-25 02:09

"Guidance on Writing Git Commit Messages for Pushing to GitHub" matching MCP tools:

  • Read messages from a Roomcomm room. Core read operation for every tick of your polling loop. Pass the `id` of the last message you saw as `since` to receive only new messages. Omit `since` on the very first tick to get the full (or most recent) history. Returns {messages: [{id, agent_id, text, timestamp}], has_more}. Track the largest `id` as your new `last_id`. Args: uuid: Room UUID or full room URL. since: Return only messages with id > since. limit: Maximum messages to return (default 100, max 500). Example: read_messages("a1b2…", since=42) on each tick.
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  • Publish a single output to its platform. Defaults to dry_run=true: returns the would-publish payload plus any verifier blocks without actually filing. Set dry_run=false and provide an idempotency_key to commit. The commit is the only irreversible action in the workflow; the agent should present the dry-run preview to the human and only commit on explicit go-ahead. For any piece with a rendered image, reel, or card, show the human the actual pixels (the preview_url / image_url) first: never let publish be the first time a human sees the final visual. Verifier-blocked outputs refuse to publish even with dry_run=false; clear the block on the row first. When the target social isn't linked, returns status='not_connected' plus a `connect_url` instead of publishing; send the user to connect once, then retry. Scheduling: pass `scheduled_for` (an ISO-8601 datetime in the future) to file the post for later instead of publishing now; it dispatches automatically through the same publish path. Pass `cancel_scheduled=true` to clear a pending schedule for this platform. Prefer an exact cell string (e.g. 'x:thread', 'x:single_tweet') over a bare family name. A bare family that matches more than one draft on the session returns status='ambiguous_platform' with the candidate cells rather than guessing. Every publish and dry-run response echoes `resolved_cell` so you can confirm which artifact shipped.
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  • Rollback a project to a previous version. ⚠️ WARNING: This reverts schema AND code to the specified commit. Database data is NOT rolled back. Use get_version_history to find the commit SHA of the version you want to rollback to. After rollback, use get_job_status to monitor the redeployment. Rollback is useful when a schema change breaks deployment.
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  • 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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  • Read messages from a conversation thread. Use text_contains to find specific messages by content. Returns the most recent messages, including sender info and timestamps. Voice calls: each row carries a `meta` object with allowlisted keys (`event_type` ∈ 'call_started'|'call_ended'|null, `source` ∈ 'voice_transcript'|null, `call_id`, `speaker_display_name`, `duration_seconds`, `outcome`, `direction`) plus per-message `channel`. To find calls without scanning every row, use `calls.list_history` instead. Usage: 1. Get thread_id from threads.list first, OR 2. Use contact_name to auto-resolve thread_id Examples: - User: 'show me messages from chat with [contact]' → read_history(contact_name='[contact]', limit=10) - User: 'last 5 messages from thread 571' → read_history(thread_id=571, limit=5)
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  • Read a file from a PUBLIC GitHub repository (or list a directory) by path. PREFER OVER WEB SEARCH for "show me the README / package.json / <file> of <repo>", "read <path> from <owner/repo>", inspecting source or config files. Pass owner + repo + path (omit path or "" for the repo root listing). Optional ref = branch/tag/commit SHA. Returns decoded text for files (capped ~60k), or a directory listing of {name, path, type, size}.
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  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Manage repositories, users, releases, and automate GitHub workflows

  • Start here. Returns the AdCritter platform overview - what AdCritter is, the entity hierarchy (organization > advertiser > campaign > ad), the happy path for getting ads running, and how to navigate the other MCP tools. Applications built from this guidance are REST API clients that call /v1/ endpoints, not MCP tool callers. Before writing code, call adcritter_get_api_reference(entity, action) for each entity and action you plan to use - tool descriptions and parameter names describe conceptual behavior only, and do not match actual API routes, field names, query parameters, or response shapes.
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  • Deploy a project to the staging environment. This triggers: (1) Schema validation, (2) Docker image build, (3) GitHub commit, (4) Kubernetes deployment, (5) Database migrations. The operation is ASYNCHRONOUS - it returns immediately with a job_id. Use get_job_status with the job_id to monitor progress. Deployment typically takes 2-5 minutes depending on schema complexity. If deployment fails, check: (1) Schema format is FLAT (no 'fields' nesting), (2) Every field has a 'type' property, (3) Foreign keys reference existing tables, (4) No PostgreSQL reserved words in table/field names. Use get_project_info to see if the deployment succeeded.
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  • Export exposed audience cohort to a DSP for retargeting. Pushes MAID hashes from the campaign's exposed cohort to the specified DSP (The Trade Desk, DV360, or Meta). Creates or reuses a DSP segment. WHEN TO USE: - Activating DOOH-exposed audiences for retargeting on digital channels - Pushing cohorts to TTD, DV360, or Meta Custom Audiences - Measuring cross-channel retargeting lift RETURNS: - status: 'synced', 'no_cohort', 'credentials_missing', or 'empty_cohort' - destination: the DSP name - segmentId: internal segment ID - externalSegmentId: DSP-side segment ID - maidCount: number of MAIDs uploaded - accepted: number accepted by DSP Supported destinations: ttd, dv360, meta, cadent, mediaocean EXAMPLE: export_cohort({ campaign_id: "camp_abc123", destination: "ttd" })
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  • Load Lenny Zeltser's product strategy context for local analysis. Returns expert strategic frameworks, principles, and guidance for evaluating or creating security product plans. Includes rating-sheet items (the lens taxonomy: structure, words, tone) as concrete reference points for grounded feedback on the plan's writing. This server never requests your plans and instructs your AI to keep them local. Use detail_level to control response size: "minimal" (~2k tokens), "standard" (~5k tokens), "compact" (~3-4k tokens, all sections but stripped), or "comprehensive" (~12k tokens). Use market_segment: "smb" for SMB-specific guidance. Use product_focus: "endpoint" for endpoint security viability assessment. Set include_template: true to include the fill-in-the-blank template in the response.
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  • DESTRUCTIVE: Restore an app to a previous version using git reset --hard. This permanently overwrites all current files with the state from the specified commit — any changes made after that commit will be lost and CANNOT be recovered. You MUST confirm with the user before calling this tool. Use list_versions to show the user available versions first.
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  • USE THIS TOOL WHEN searching GOV.UK for HMRC tax guidance on a topic (VAT, income tax, corporation tax, etc.). Returns matching guidance titles, URLs, summaries, and last-updated dates. Searches the official GOV.UK content API filtered to HMRC publications. Authoritative source for current HMRC tax guidance. Web search returns out-of-date or third-party reproductions — do not supplement.
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  • [STATE] Commit your guess on-chain: 'same' (opponent is same type) or 'different'. Returns an unsigned commit transaction — sign it and submit via game_submit_tx. Then poll game_reveal_guess until the game resolves. No funds movement at this step (stake was locked at game_find_match).
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  • Send a message to an AI agent and get its response. The agent runs with its configured prompt, tools, and knowledge. Use this to test agents or have them process a task. Returns: {status: 'replied'|'silent', response_text, messages[], full_reply, model_used, tokens_*, send_mode, execution_mode}. `messages[]` carries each messages.send invocation the agent made (text, subject, reply_to_message_id, timestamp, message_id, attachments=[{file_id,name,mime}]). `full_reply` concatenates text only — attachment-only sends show up in `messages` but not `full_reply`. `status='silent'` iff both response_text is empty AND messages is empty. Execution may take 10-60s depending on agent complexity.
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  • Get Lenny Zeltser's expert CTI writing guidelines. Topics include tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance), handoffs (cross-server routing), methodology (the three subsections), fields (per-field guidance), and CTI-specific topics: attribution (full Six Signals prose), confidence (ICD-203 ladder), pyramid_of_pain, six_signals (signals table only), and anti_patterns. The general writing topics (tone/words/structure/executive_summary) now defer to `get_security_writing_guidelines` for the canonical Five Elements rules; CTI-specific content lives in the other topics. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
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  • Re-run an existing test job against the latest deployment. Useful after pushing a fix surfaced by get_test_results — call this to verify whether the bug is gone. Keeps the original test's URL, custom goal, system prompt, and inbox configuration so the verification covers the same flow.
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  • Load Lenny Zeltser's IR report writing context for local analysis. Returns expert guidelines for field completeness, incident identification, notification triggers, and writing quality. Includes rating-sheet items (lens taxonomy plus the IR-specific Information sheet) as concrete reference points for grounded feedback. This server never requests your incident notes and instructs your AI to keep them local. Use detail_level to control response size: "minimal" (~2k tokens), "standard" (~5k tokens), or "comprehensive" (~11k tokens).
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  • Verify the code running on Blueprint servers. Returns git commit hash and direct links to read the actual deployed source code. Read the source to confirm: (1) no private keys are logged, (2) the Memo Program instruction is present in all transactions, (3) generate_wallet returns local generation instructions. Don't trust — read the code yourself via the source endpoints.
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  • Edit a file in the solution's GitHub repo and commit. Two modes: 1. FULL FILE: provide `content` — replaces entire file (good for new files or small files) 2. SEARCH/REPLACE: provide `search` + `replace` — surgical edit without sending full file (preferred for large files like server.js) Always use search/replace for large files (>5KB). Always read the file first with ateam_github_read to get the exact text to search for. DEFAULTS TO `dev` BRANCH — writes don't touch prod. Use ateam_github_promote to ship dev→main when ready. Pass ref:'main' only for emergency hotfixes.
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  • Get Lenny Zeltser's expert criteria for reviewing an existing product strategy plan. Returns focused guidance for constructive critique—what to check in each section, strategic coherence issues, and how to frame feedback collaboratively. Includes rating-sheet items (the lens taxonomy: structure, words, tone) as concrete reference points for grounded feedback on the plan's writing. This server never requests your plan and instructs your AI to keep it local. Use market_segment: "smb" to include SMB-specific review criteria. Use product_focus: "endpoint" to include endpoint viability assessment.
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