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Glama

Server Details

EBI BioStudies MCP.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-biostudies
GitHub Stars
0

Glama MCP Gateway

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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.

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Tool DescriptionsA

Average 4.6/5 across 29 of 29 tools scored. Lowest: 4/5.

Server CoherenceB
Disambiguation4/5

Most tools have detailed descriptions that clearly differentiate their purposes. However, there are some overlapping categories like Polymarket tools (bet_research, polymarket_arbitrage, polymarket_edges, polymarket_kalshi_spread) which could cause confusion, though descriptions help distinguish them.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., search_studies, get_study, entity_profile, resolve_entity), with no mixing of conventions, making the naming predictable and easy to navigate.

Tool Count2/5

With 29 tools, the count is high, but more critically, the server is named 'Biostudies' yet only 2 tools relate to biological studies. The vast majority of tools cover unrelated domains (Polymarket, SEC, FDA, memory), making the tool count inappropriate for the server's stated purpose.

Completeness2/5

The server lacks essential operations for its stated biostudies domain (no create/update/delete for studies) and overall feels like a collection of disparate meta-tools rather than a cohesive surface. For a data platform, there are no tools for data submission or modification, leaving significant gaps.

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