Index / MCP servers / StackFast FractWin Expert Brain

StackFast FractWin Expert Brain MCP server

StackFast FractWin Expert Brain is a remote MCP server that gives an AI agent 74 tools, among them ai_receptionist_callback_packet, ai_receptionist_review_queue, ai_receptionist_status. It answers at https://stackfast.ai/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.

Status
Answering
Tools
74
Reliability
10 of 10 checks
Response time
384 ms
Transport
streamable HTTP
Last checked
18 October 2026

Expert knowledge base for sales, negotiation, strategy, operations, and risk.

Description as the publisher wrote it.

The 74 tools StackFast FractWin Expert Brain offers

ToolWhat it does
ai_receptionist_callback_packetReturn a human-review callback packet for one AI Receptionist call. The packet is review-only and does not send SMS, place calls, or reply to customers autonomously.
Inputs: call_id, tenant_id
ai_receptionist_review_queueList recent AI Receptionist call-loop receipts for human review, including callback and A2P-gated inbound SMS status where present. Returns masked/audit-safe identifiers only.
Inputs: limit, tenant_id
ai_receptionist_statusRead the Desk ticket, CRM callback task, call-link receipt, and A2P-gated inbound SMS posture for one AI Receptionist call ID. Returns masked/status metadata only.
Inputs: call_id, tenant_id
artifact_auditRead provenance, analyzer findings, gate status, approval state, usage, and export receipts for one tenant-scoped artifact.
Inputs: tenant_id, artifact_id, draft_id
artifact_exportCreate an audited export receipt for an approved artifact or internal draft. External publish remains separate and human-approved.
Inputs: tenant_id, artifact_id, draft_id, target, target_config, format
artifact_generateGenerate a governed, tenant-scoped artifact draft with no-fabrication placeholders, analyzer provenance, MASK, brand status, and approval requirements.
Inputs: tenant_id, artifact_type, lane, audience, format, source_context
artifact_refineRefine an existing artifact draft while preserving tenant boundary, provenance, MASK status, and approval posture.
Inputs: tenant_id, draft_id, source_content, artifact_type, lane, audience
artifact_saveApprove/save an artifact and mark tenant-scoped learning-loop eligibility. Does not publish externally.
Inputs: tenant_id, draft_id, approved, reuse_tags, approval_event_id, learning_scope
audit_statusRead AI Stack Audit project state, deliverable refs, credit ledger, and Desk/CRM links.
Inputs: audit_project_id, tenant_id
boot_statusRead-only StackFast connector health/status check. Does not expose secrets.
Inputs: role
cogentcast_approval_resolveRead and validate a server-recorded, human-authenticated approval receipt by id. An LLM cannot create approvals, impersonate Robert, change visibility, or unlock public release. Uses the existing CogentCast production service; it does not b
Inputs: package_id, approval_receipt_id
cogentcast_package_createCreate one governed Work Sample from a tenant-bound preview reference, preserve the private narration-review create contract, or append a zero-cost audiobook preparation record through CHIEF_EDITOR_REVIEW. No create path can mint a human pa
Inputs: preview_reference, preview_digest, content_fingerprint, source_hashes, idempotency_key, input
cogentcast_package_previewValidate a Work Sample, content_type=narration_review, or content_type=audiobook_production configuration without creating state or vendor cost. A failed preview returns no creation-authorizing digest or authoritative cost estimate. Audiobo
Inputs: input
cogentcast_production_runRequest one leased production stage. The zero-cost Gemini reconciliation stage requires exact dispatch, task, job, source, and Chief Editor receipt binding and cannot mint verification. Cost-bearing canary/full-chunk stages require exact pr
Inputs: package_id, stage, dispatch_id, verification_task_id, verifier_job_id, segment_id
cogentcast_production_statusRead tenant-scoped Work Sample, narration-review, or audiobook-production state; exact hashes; current-vs-historical derivative projection; and Chief Editor/Gemini/ear/paid/publication gates. Private source bodies and blob locations are not
Inputs: package_id
credentials_inventoryDiscover wallet-resolved credential service names and accepted aliases without exposing secret values. Use this when an agent is unsure whether a key exists, sees a key-not-found error, or needs the canonical getAgentKey(service) name. Retu
Inputs: query
dealership_check_lead_follow_upDealership OS checks a tenant-scoped lead against consent, STOP, quiet-hours, pacing, verified-sender, identity, assignment, and manager-exception rules. It returns an eligibility or hold decision, a human action card, and an opaque receipt
dealership_sales_floor_briefDealership OS returns a public-safe, tenant-scoped coaching brief for opportunity leak diagnosis, ownership and next actions, daily manager reconciliation, customer connection, customer-first presentation structure, or an opportunity dispos
Inputs: schema_version, workflow, tenant_id, situation, opportunity_ref, role_context
estimator_catalog_searchOperate on tenant-scoped OCE Estimator/Appraiser catalog sources/items, including the StackFast storefront catalog, through the generic estimator_* control-plane contract.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_catalog_sourcesOperate on tenant-scoped OCE Estimator/Appraiser catalog sources/items, including the StackFast storefront catalog, through the generic estimator_* control-plane contract.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_estimate_add_lineOperate on tenant-scoped OCE Estimator/Appraiser drafts, lines, versions, documents, exports, and policy receipts.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_estimate_convert_to_bidOperate on tenant-scoped OCE Estimator/Appraiser drafts, lines, versions, documents, exports, and policy receipts.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_estimate_convert_to_invoicePrepare an OCE Estimator/Appraiser document or QBO handoff contract. Review-gated; does not write to accounting systems.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_estimate_create_draftOperate on tenant-scoped OCE Estimator/Appraiser drafts, lines, versions, documents, exports, and policy receipts.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_estimate_exportOperate on tenant-scoped OCE Estimator/Appraiser drafts, lines, versions, documents, exports, and policy receipts.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_estimate_progress_invoicePrepare an OCE Estimator/Appraiser document or QBO handoff contract. Review-gated; does not write to accounting systems.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_estimate_update_lineOperate on tenant-scoped OCE Estimator/Appraiser drafts, lines, versions, documents, exports, and policy receipts.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_policy_checkOperate on tenant-scoped OCE Estimator/Appraiser drafts, lines, versions, documents, exports, and policy receipts.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
estimator_receipt_getOperate on tenant-scoped OCE Estimator/Appraiser drafts, lines, versions, documents, exports, and policy receipts.
Inputs: tenant_id, adapter_id, estimate_id, document_id, source_id, query
fetchFetch a StackFast Brain result or an authorized immutable session artifact by id through the AI6 MCP reader plane. Use the explicit safe shape with id, page, and page_size, for example fetch({ id: "brain:12345", page: 1, page_size: 12000 })
Inputs: id, aid, page, next_page, page_size
growthos_business_brain_interviewStart or append a GrowthOS Business Brain Interview using the existing interview/session model. Outputs remain draft_review_required before automation.
Inputs: action, interview_type, tenant_id, lead_id, customer_email, customer_name
growthos_digital_clone_packetBuild a draft GrowthOS digital-clone render packet from normalized signals, evidence, runtime tenant voice profile, and PERSPECTIVE capability grounding. No Robert voice defaults and no autonomous outbound.
Inputs: prospect, tenant_profile, perspective_context
growthos_opportunity_scout_packetBuild an Opportunity Scout packet for customer, talent, contract, or capital opportunities using the existing gate-first policy layer and no new persistence table.
Inputs: opportunity
growthos_owner_facing_reportRender the canonical GrowthOS scorecard into a sendable owner-facing report with web, email-review-ready, PDF-ready outputs, and optional CogentCast site-review receipt composition. No autonomous send.
Inputs: prospect, sender, include_cogentcast_site_review, cogentcast_site_review
growthos_revenue_capture_packetReturn a GrowthOS revenue-capture packet: scorecard, review-gated contact drafts, CogentCast site-review receipt composition, and summary for supplied local-business evidence. GrowthOS consumes CogentCast receipts instead of recreating webs
Inputs: prospect, sender, include_cogentcast_site_review, cogentcast_site_review
growthos_scorecardBuild a private GrowthOS Revenue Capture Scorecard from supplied public business signals. Human buyers start at /growthos/scorecard; MCP execution requires reader entitlement. Returns scorecard findings only; it never sends outreach.
Inputs: prospect, prospects, sender
reply_composeCompose a relationship-safe correspondence decision packet with do_not_say, safe_phrasing, channel constraints, manual approval, and a correspondence_response artifact audit trail. It never sends the message.
Inputs: tenant_id, surface, channel, constraints, inbound_message, relationship_context
searchSearch StackFast Brain knowledge through the AI6 MCP reader plane; use fetch with a returned result id for full text.
Inputs: query
session_file_readReturn session artifact metadata and persistent URLs. V1 intentionally omits raw artifact contents.
Inputs: artifact_id, session_id, filename, limit
talent_scout_application_workupBuild the detailed workup for one Talent Scout queue item: availability status, fit risks, company pain map, Robert proof-point map, resume angle, application strategy, and a full draft-only application packet with resume edits, cover-lette
Inputs: tenant_id, queue_item_id, application_id, portal_application_id, requisition_id, canonical_job_id
34 more tools

talent_scout_browser_fill_receipt, talent_scout_business_email_receipt, talent_scout_compose_application, talent_scout_correct_relationship_activity, talent_scout_create_packet, talent_scout_daily_pipeline, talent_scout_discover_companies_by_campaign, talent_scout_discover_local_companies, talent_scout_draft_manual_note, talent_scout_draft_outreach, talent_scout_explain_preferences_match, talent_scout_form_schema_receipt, talent_scout_generate_finished_resume, talent_scout_import_byoc_delta, talent_scout_mail_signals, talent_scout_my_profile_status, talent_scout_my_profile_upsert, talent_scout_person_research_notes, talent_scout_pipeline_describe, talent_scout_profile_status, talent_scout_profile_upsert, talent_scout_reconcile_application_history, talent_scout_record_application, talent_scout_record_manual_note, talent_scout_record_queue_decision, talent_scout_record_relationship_activity, talent_scout_review_queue, talent_scout_role_review, talent_scout_scan_company_for_roles, talent_scout_score_fit, talent_scout_search_opportunities, talent_scout_set_search_rails, talent_scout_upsert_campaign_profile, voice_intelligence_run

Add StackFast FractWin Expert Brain to your AI client

Every block below points at https://stackfast.ai/api/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http stackfast-fractwin-expert-brain https://stackfast.ai/api/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "stackfast-fractwin-expert-brain": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://stackfast.ai/api/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "stackfast-fractwin-expert-brain": {
      "url": "https://stackfast.ai/api/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "stackfast-fractwin-expert-brain": {
      "type": "http",
      "url": "https://stackfast.ai/api/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "stackfast-fractwin-expert-brain": {
      "url": "https://stackfast.ai/api/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "stackfast-fractwin-expert-brain": {
      "serverUrl": "https://stackfast.ai/api/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "stackfast-fractwin-expert-brain": {
      "url": "https://stackfast.ai/api/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: StackFast FractWin Expert Brain
version: 0.0.1
schema: v1
mcpServers:
  - name: StackFast FractWin Expert Brain
    type: streamable-http
    url: https://stackfast.ai/api/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "stackfast-fractwin-expert-brain": {
      "httpUrl": "https://stackfast.ai/api/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "stackfast-fractwin-expert-brain": {
      "type": "http",
      "url": "https://stackfast.ai/api/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "stackfast-fractwin-expert-brain": {
      "url": "https://stackfast.ai/api/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fstackfast.ai%2Fapi%2Fmcp&type=streamable_http&id=stackfast-fractwin-expert-brain&name=StackFast%20FractWin%20Expert%20Brain

Is StackFast FractWin Expert Brain up right now?

It answered our last check on 18 October 2026 in 384 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to StackFast FractWin Expert Brain

Questions about StackFast FractWin Expert Brain

How many tools does StackFast FractWin Expert Brain have?

74, as returned by the server's own tools/list on 31 August 2026: ai_receptionist_callback_packet, ai_receptionist_review_queue, ai_receptionist_status, artifact_audit, artifact_export, artifact_generate, artifact_refine, artifact_save, and 66 more.

Is StackFast FractWin Expert Brain down?

It answered our last check on 18 October 2026 in 384 ms. Over 10 checks since 5 September 2026 it answered 10.

How do I add StackFast FractWin Expert Brain to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://stackfast.ai/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does StackFast FractWin Expert Brain need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.trupe-rs. Endpoint host: stackfast.ai. ARD identifier: urn:air:io.github.trupe-rs:mcp:expert-brain. First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.