Preflight check for MCP -> onboard_api connectivity and auth context.

Use this first in a new session to confirm:

• backend is reachable

• current MCP session auth state

• whether a default client id is configured

Authenticate MCP session to a Signal Found client account.

Run this at the start of each session before business tools. Most tools require authenticated context and will use this session client id unless you pass an explicit client_id argument.

Return the currently authenticated client context for this MCP server session.

Zero-context onboarding playbook for agents using this MCP server.

Returns the recommended call sequence, common guardrails, and recovery hints.

Clear the active authenticated client context for this MCP server session.

List all products for a client (slug, display_name, product_unique, folder_id).

Get nested folders and products for a client, equivalent to frontend product tree.

Create a brand-new Signal Found client account for onboarding.

Requires:

• business_name

• email

Returns created client_id and (by default) logs this MCP session into it.

Next step after success:

• call create_new_product

Create a product and initialize the agent onboarding session context.

The response includes:

• product creation result

• context packet (existing artifacts + screenshot uri)

• prompt pack + version metadata

Prerequisite:

• authenticated session via login_with_client_id (or provide client_id explicitly)

Next step after success:

• call run_full_agentic_onboarding (or run staged tools manually)

Fetch server-curated prompt contracts that define required onboarding outputs.

Use this when an agent needs exact formatting/expectations before generating:

• clarifications

• conversation transcript

• market positioning

• keywords/subreddits

Use artifact for focused contracts:

• clarifications

• market_position

• conversation

• keywords

• subreddits

Validate and persist core onboarding artifacts for a product/session.

Prerequisites:

• prompt pack must be acknowledged for session_id

• payloads should match the artifact schemas below

Common use:

• called by run_full_agentic_onboarding

• can also be used for staged/recovery runs

Expected formats:

• market_position: patch object with market position keys

• conversion_notes: {'Product Name','Payment Terms/Plans','General Notes'}

• funnels: [{'url','description','primary_use_case', optional 'qualification'}]

Persist targeting artifacts (keywords/subreddits) and return policy/preview.

Prerequisites:

• prompt pack must be acknowledged for session_id

• artifacts should already be saved for best results

Typical next step:

• approve targeting (done automatically by run_full_agentic_onboarding when enabled)

Formats:

• keywords: list[str]

• subreddit_groups: [{'subreddits': ['name1','name2']}]

Evaluate readiness and optionally start campaign immediately.

If not ready and blocked on credits, also returns a checkout link.

Use this after onboarding reaches targeting approval. Set start_now=true to attempt campaign launch.

Read/update product strategy assets: market position, conversion notes, and funnels.

Read/update subreddit targeting and keywords for a product.

Read or update market positioning with explicit format guidance.

How to use:

• Call without market_position_patch to inspect current data before editing.

• Send only keys you want to change (patch semantics).

Expected patch keys (string values):

• one_line_pitch

• icp

• competitive_alternatives

• uniqueness

• value_proof

• market_category

• trends

• additional_info

Read or update conversion notes with explicit required key names.

How to use:

• Call without conversion_notes to inspect current notes.

• For updates, provide all three canonical keys for consistency.

Expected keys (string values):

• Product Name

• Payment Terms/Plans

• General Notes

Read or replace funnels with explicit shape validation.

How to use:

• Call without funnels to inspect current funnel list.

• Update is replace-style: provide the full intended funnels list.

Expected item shape:

• url (string)

• description (string)

• primary_use_case (string)

• qualification (optional string)

Read or update subreddit targeting groups.

How to use:

• Call without subreddit_groups to inspect current targeting.

• Update expects groups format used by onboard API targeting endpoint.

Expected subreddit_groups item shape:

• subreddits: list of subreddit names (without r/ prefix preferred).

Read or update keyword targeting with optional search parameters.

How to use:

• Call without keywords to inspect current keywords config.

• Update writes explicit keyword list and optional search params.

Expected payload shape:

• keywords: list[str]

• search_params (optional):

  • sort: one of relevance|hot|top|new|comments

  • time_filter: one of hour|day|week|month|year|all

  • per_keyword_limit: int

List campaigns for a client (active/inactive, product mapping, budget, and warning signals).

Shift outbound/day budget from the worst active campaign to a target product campaign.

Compute close rate across all products based on CRM conversion states.

Pull sample confirmed and uninterested conversations and return side-by-side message snippets.

CRM read/write operations (no reply generation and no DM sending).

Use action to select operation; each action has its own required fields. This tool intentionally excludes outbound messaging behaviors.

Supported actions:

• list_customers

• prospect_stats

• get_conversation_by_id

• update_conversion_state

• update_blacklist

• get_notes

• update_notes

Return canonical CRM conversion states available for recategorization.

List CRM customer data filtered by conversion states with explicit dedupe diagnostics.

Return CRM state statistics (unique deduped customer counts by conversion_state).

Retrieve deduped CRM records by single state or lead-category bucket.

Get conversation messages for a conversation ID inside a product scope.

Get notes for a CRM conversation in a product scope.

Update notes for a CRM conversation in a product scope.

Change a customer's CRM conversion state (category) for a product.

Create/update a conversation note for a product scope conversation.

Produce a voice-of-customer report combining outcome metrics and confirmed/uninterested conversation samples.

Get billing + credits overview, and optionally create a checkout session preview/action.

Command-center summary for a client: products, campaign health, close-rate, and recommendations.

Best first operational tool after login when the user asks for "what should we do next?"

Canonical onboarding progress view for a product/session.

Returns:

• current phase

• next required action

• prompt-pack ack state

• targeting approval state

• missing artifacts + readiness blockers

Use this for recovery if a previous onboarding run was partial or failed.

Execute the full staged onboarding flow end-to-end in one call.

Intended for zero-context agents that want a safe default path. This tool orchestrates:

• prompt-pack version + ack

• clarifications (questions/mode/answers)

• conversation (mode/transcript/extract)

• artifact validation + writes

• targeting submit (+ optional approve)

• readiness snapshot

Requirements:

• clarifying_questions must have exactly 3 items

• pass valid schema payloads for artifacts/targeting

On partial failure, returns failed_stage, retry_hint, and completed stages.

Send Reddit DMs to scraped leads via the Signal Found Chrome extension.

Three modes (exactly one must be set):

• target_username: cold DM to a specific Reddit user

• crm_reply_to: reply to an existing CRM conversation

• batch_from_working_leads=True: send to all uncontacted working leads for this product

Message content: provide a manual message, or set generate_message=True (default) to auto-generate using the product's market positioning and conversion notes via Phase 2. In batch mode, pre-computed suggested_response values are reused when available.

Requires a Chrome extension connected and active on Reddit. Fails immediately if none is online.