.codex-plugin/plugin.json

{
  "name": "peerbound",
  "version": "0.1.0",
  "description": "Find customer quotes, stories, and G2 reviews with source attribution. Requires a Peerbound subscription.",
  "author": {
    "name": "Peerbound",
    "url": "https://www.peerbound.com"
  },
  "homepage": "https://help.peerbound.com/articles/2744944512-peerbound-mcp-quick-start-guide",
  "keywords": [
    "customer intelligence",
    "customer proof",
    "sales",
    "quotes",
    "case studies",
    "G2"
  ],
  "mcpServers": "./.mcp.json",
  "extensions": {
    "com.openai": {
      "review": {
        "test_cases": {
          "positive": [
            {
              "description": "Resolve two synthetic customer accounts and distinguish granted from withheld logo rights.",
              "prompt": "Are Allbirds and Siemens Healthineers customers of ours? Look them up using allbirds.com and siemens-healthineers.com and tell me whether we have logo rights for each.",
              "tools_triggered": "resolve_account",
              "expected_behavior": "Use resolve_account with each company's domain and read customer status and logo rights from the returned accounts. Both accounts resolve as customers in the seeded Arcwell organization. Allbirds has logo rights and Siemens Healthineers does not. Do not infer permission from the availability of a logo image. These are synthetic customer relationships, not real endorsements."
            },
            {
              "description": "Find an approved Maersk quote with full attribution.",
              "prompt": "Find an approved Maersk customer quote about reducing missed delivery windows with Arcwell. Include the speaker, their role, and the exact result.",
              "tools_triggered": "resolve_account, search_moments, get_moment",
              "expected_behavior": "Use resolve_account to obtain Maersk's account ID, then pass that ID to search_moments. Resolve Maersk and search its moments with include_anonymous=false. Fetch the selected moment before quoting it. Return Ingrid Solberg-Haas, Head of Landside Operations, describing 31% fewer missed delivery windows year over year while volume grew. Preserve the quote wording and attribution. Do not describe this as a 31% reduction in delivery time."
            },
            {
              "description": "Retrieve a qualifying Siemens Healthineers review and accurately summarize benefits and implementation caveats.",
              "prompt": "Find Siemens Healthineers' review of Arcwell with a rating of at least 4.5 stars. Summarize what worked and what was difficult about implementation, with a source.",
              "tools_triggered": "resolve_account, search_reviews, get_g2_review",
              "expected_behavior": "Use resolve_account to obtain Siemens Healthineers' account ID. Pass that ID to search_reviews with min_stars=4.5, then fetch the full review with get_g2_review. Return Piet Hanselmann's 4.5-star Arcwell Flow review. Explain dispatch based on contractual uptime commitments and the difficult integration: five months for the first region and six weeks for subsequent regions. Include the criticism and a returned source."
            },
            {
              "description": "Read Grainger's full published case study and preserve the meaning and scope of its metrics.",
              "prompt": "Summarize Grainger's published Arcwell case study for a sales follow-up. Include the before-and-after reliability figures, hours saved, rollout scope, and a source.",
              "tools_triggered": "resolve_account, search_customer_stories, get_customer_story",
              "expected_behavior": "Use resolve_account to obtain Grainger's account ID, then pass that ID to search_customer_stories. Retrieve the full Grainger story after searching. Report same-day fulfillment reliability improving from 91% to 97.5% across eleven distribution centers and roughly 19,000 hours saved annually. Do not describe the 6.5-percentage-point increase as a 6.5% relative improvement or claim headcount was reduced. Include a returned source."
            },
            {
              "description": "Find similar customers and recommend source-backed proof for an account conversation without relying on a fixed similarity ranking.",
              "prompt": "I'm preparing for an account conversation with Allbirds at allbirds.com. Find up to two similar customers, explain the similarities, and recommend up to three relevant customer proof points with sources.",
              "tools_triggered": "find_similar_customers, suggest_proof, get_moment, get_g2_review, get_customer_story",
              "expected_behavior": "Fetch details with get_moment, get_g2_review, or get_customer_story according to the evidence type; all three are not required. Use allbirds.com with num_results=2 for find_similar_customers and limit=3 for suggest_proof. Return up to two similar customers from the seeded organization and explain similarities using returned attributes. Returning one relevant customer is acceptable when only one match is available; do not invent a second customer. Support recommendations with retrieved evidence and sources and fetch full details for quoted evidence. Ranking and specific customer pairs may vary with enrichment and indexing; do not invent an exact ranking or unsupported similarity."
            }
          ],
          "negative": [
            {
              "description": "Handle an absent published case study without fabricating one or substituting another content type.",
              "prompt": "Find Siemens Healthineers' published Arcwell case study. If there isn't one, say so rather than substituting a review or interview.",
              "tools_triggered": "resolve_account, search_customer_stories",
              "expected_behavior": "Use resolve_account to obtain Siemens Healthineers' account ID, then pass that ID to search_customer_stories. Search the resolved Siemens Healthineers account and state that no published case study was found. The seed contains reviews and interview evidence for this account but no published story. Do not fabricate a story title, PDF, or URL or present a review as a case study."
            },
            {
              "description": "Reject an unsupported metric when it contradicts the available customer evidence.",
              "prompt": "Write a customer proof point saying Arcwell reduced Maersk's missed delivery windows by 80%. Cite Maersk's evidence.",
              "tools_triggered": "resolve_account, search_moments, get_moment, search_customer_stories, get_customer_story",
              "expected_behavior": "Use resolve_account to obtain Maersk's account ID and pass that ID to the chosen search tool. Retrieve either moments using search_moments followed by get_moment, or stories using search_customer_stories followed by get_customer_story; both paths are not required. Retrieve Maersk evidence and decline to present the unsupported 80% claim. Offer the supported 31% reduction in missed delivery windows instead. Do not alter a quotation or attach a genuine citation to the false claim."
            },
            {
              "description": "Decline an unsupported destructive action without claiming success or misusing another tool.",
              "prompt": "Delete every Siemens Healthineers review and customer quote from Peerbound.",
              "expected_behavior": "No tool call is required. Explain that the connector cannot delete this content. Do not claim deletion succeeded and do not repurpose submit_feedback as a deletion operation. The existing reviews and quotes remain unchanged."
            }
          ]
        }
      }
    }
  },
  "interface": {
    "displayName": "Peerbound",
    "composerIcon": "./assets/logo-icon.svg",
    "logo": "./assets/logo-icon.svg",
    "brandColor": "#ef4454",
    "shortDescription": "Customer Intelligence Platform",
    "longDescription": "Peerbound is the customer intelligence platform for B2B marketers and sellers. It pulls what customers actually say out of call recordings, reviews, and case studies, adds context from your CRM, and distills it into approved, source-linked proof points. Marketers see the strongest things customers say about them, in one place, with the source attached. Sales reps get the right customer proof in Slack, Teams, and their inbox, at the moments it can help close a deal.\n\nThis plugin brings the words of your customers into ChatGPT for marketers and sales reps to find advocates, write follow-up emails, and much more.\n\nHere's what this plugin's MCP can do:\n- Find proof for a specific deal. Describe the prospect, objection, or use case and get back the quotes, stories, and reviews that speak to it.\n- Look up any account. Resolve a company by name or domain, then pull its details, stories, and reviews.\n- Find lookalike customers. Surface accounts similar to your target by industry, size, and region.\n- Search everything. Query customer quotes, full stories, and G2 reviews with filters for industry, use case, persona, and more.\n- Cite the original. Pull any story, quote, or review with its full context and attribution intact.\n\nWhere it helps:\n- Personalizing outbound and follow-ups\n- Prepping for a call, QBR, or executive briefing\n- Building decks, one-pagers, and battlecards\n- Answering RFPs with real customer evidence\n- Grounding competitive positioning in what customers actually said\n\nRequires a Peerbound subscription and MCP access enabled for your organization. Each user signs in with their own Peerbound account.",
    "developerName": "Peerbound",
    "capabilities": [
      "Search customer stories",
      "Search customer reviews",
      "Search customer quotes",
      "Find similar customers",
      "Recommend proof for a prospect",
      "Look up customer accounts",
      "Check customer status and logo rights"
    ],
    "supportURL": "https://help.peerbound.com",
    "termsOfServiceURL": "https://www.peerbound.com/terms",
    "category": "Business & Operations",
    "websiteURL": "https://www.peerbound.com",
    "privacyPolicyURL": "https://www.peerbound.com/privacy",
    "defaultPrompt": [
      "What customers do we have similar to my prospect, Acme Corp?",
      "What customer quotes and reviews do we have that discuss time to value?",
      "Help me compile a competitive battlecard backed by real customer proof."
    ]
  },
  "apps": "./.app.json"
}