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Bonnard

A multi-tenant MCP platform for customer-facing data: OAuth 2.1, IdP integration, per-tenant isolation and RBAC over SQL or semantic-layer queries, with interactive charts grounded in the agent's real query.

paidUsage-based on tool calls, never per customer — every plan includes unlimited tenants. Starter is $149/month with 100,000 tool calls then $1.00/1k, 3 MCP servers, dbt/Cube/warehouse connections, SQL and semantic queries, per-tenant isolation and RBAC, custom skills, MCP App visualisations, IdP connection and email support. Growth is $599/month with 1,000,000 tool calls then $0.70/1k, 10 MCP servers, usage analytics, rate limits and feature-gating for resale, audit logs and priority support. Scale is $1,999/month with 5,000,000 tool calls then $0.40/1k, 25 MCP servers, SSO and SCIM, volume discounts, a 99.9% uptime SLA and dedicated Slack support. Enterprise is committed-usage or flat-licence with self-hosting in VPC, on-prem or air-gapped. All plans carry a 7-day free trial with no credit card. The open-source interactive charts work against any MCP server.View full pricing →

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https://bonnard.dev

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About Bonnard

Bonnard is a platform for shipping customer-facing MCP servers over your own data, which is a narrower and harder problem than building an internal one. An internal MCP server can trust its single caller; a customer-facing one has to isolate each tenant, scope access by role, integrate with whatever identity provider the customer runs, and survive being pointed at by an agent that will happily ask for a million rows. Bonnard supplies that layer pre-built: OAuth 2.1, IdP integration with WorkOS, Clerk or Okta, per-tenant isolation, role-scoped access, observability and rate limiting, on top of SQL querying and semantic-layer querying. It connects to dbt, Cube, the dbt Semantic Layer, AtScale or LookML if you have a semantic layer, and to raw warehouse SQL if you do not. The part that distinguishes it from a plain endpoint is what happens around the answer: interactive charts generated from the agent's actual query rather than a static image, with row caps, type hints and helpful error responses designed for how agents behave when they get something wrong. Dashboard presets and bundled skills ship with it, and the charting layer is released as open source usable against any MCP server. The result is a full BI experience inside Claude or ChatGPT.

Key Features

✓Per-tenant isolation and role-scoped access built in — unlimited tenants on every plan
✓OAuth 2.1 and IdP integration with WorkOS, Clerk or Okta
✓Connects to dbt, Cube, dbt Semantic Layer, AtScale, LookML or raw warehouse SQL
✓Interactive charts generated from the agent's actual query, not a static render
✓Agent-friendly tooling: row caps, type hints, structured error responses
✓Open-source charting layer usable with any MCP server

Tags

mcpbusiness-intelligencemulti-tenantdbtoauth
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