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Glama

Server Details

Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
benseverndev-oss/goldenflow
GitHub Stars
1

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 3.3/5 across 10 of 10 tools scored. Lowest: 2.5/5.

Server CoherenceA
Disambiguation5/5

All 10 tools have clearly distinct purposes covering different aspects of data transformation: comparison, profiling, mapping, transformation, validation, explanation, learning, listing, and bridging from findings. No overlap or ambiguity.

Naming Consistency5/5

Tool names follow a consistent snake_case pattern with verb_noun structure (e.g., explain_transform, list_domains, select_from_findings). Single-word names like diff, map, profile also fit the pattern of imperative verbs.

Tool Count5/5

With 10 tools, the server is well-scoped for a data transformation workflow. Each tool serves a necessary function without redundancy or excess, fitting the typical 3-15 range.

Completeness5/5

The tool set covers the full lifecycle of data transformation: profiling, diffing, mapping, learning configs, transforming, validating, explaining, listing domains/transforms, and integrating with findings. No obvious gaps in core functionality.

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