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Glama

Toofi Dental Planning MCP

Server Details

Agent-native dental planning MCP for plan drafts, presentations, and price estimates.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsB

Average 3.6/5 across 24 of 24 tools scored. Lowest: 2.7/5.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct operation or resource (e.g., checkout, discovery, generation, querying demo data, billing). No two tools have overlapping purposes; even similar-looking tools like get_demo_plan vs get_plan are clearly differentiated by scope (demo vs real).

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using lowercase and underscores. Verbs like create, discover, generate, get, import, list, lookup, preview, start are applied uniformly, making the surface predictable.

Tool Count4/5

With 24 tools, the count is slightly above the ideal 3-15 range but still reasonable given the breadth of dental planning workflows (billing, demo data, planning, presentation, audit, etc.). The tools are well-organized and cover distinct sub-domains.

Completeness3/5

The tool set covers creation (generate), reading (get/list), and some workflow initiation, but lacks explicit update or delete operations for patients, plans, or other resources. This gap may force agents to rely on generation re-runs instead of incremental updates, limiting lifecycle management.

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