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Glama

Server Details

Biotech intelligence for AI agents: drugs, targets, diagnostics, PoS estimates, and writeups.

Status
Healthy
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 3.7/5 across 13 of 13 tools scored. Lowest: 2.9/5.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct query or retrieval purpose: finding by phase, target, related entities, company portfolio, coverage, node details, freshness, probability of success, staleness, stats, writeups, listing by therapeutic area, and general search. There is minimal overlap, and any potential confusion (e.g., search_nodes vs find_by_target) is resolved by explicit descriptions.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern using snake_case (e.g., find_by_phase, get_node, list_by_therapeutic_area). Prepositions like 'by' and 'for' are used uniformly. No mixing of conventions like camelCase or inconsistent verb forms.

Tool Count5/5

With 13 tools, the count is within the ideal range for a focused biomedical database API. Each tool addresses a specific query or retrieval need without redundancy, making the set cohesive and manageable for an agent.

Completeness5/5

The tool set covers the full lifecycle of querying the BioCosm database: search, list by various criteria, retrieve detailed node information, freshness and staleness metrics, probability-of-success scores, writeups, and overall stats. No obvious gaps are present for a read-only knowledge graph API.

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