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Glama

Server Details

Market Recap MCP — a one-call 'what happened in markets' snapshot.

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

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 DescriptionsA

Average 4.6/5 across 32 of 32 tools scored.

Server CoherenceC
Disambiguation2/5

Many tools overlap in purpose (e.g., multiple Polymarket analysis tools, multiple AI visibility tools, ask_pipeworx vs deep_research). Agents will have difficulty choosing the correct tool without deep understanding of subtle differences.

Naming Consistency2/5

Tool names use a mix of styles (snake_case, descriptive phrases) without a consistent verb_noun pattern. For example, 'ask_pipeworx' and 'bet_research' have different naming conventions. This inconsistency makes it harder for agents to predict tool names.

Tool Count2/5

32 tools is on the high side for a single server. Many tools could be merged (e.g., multiple polymarket tools). The count feels excessive for the scope, causing cognitive load and potential selection errors.

Completeness3/5

The tool set covers a wide range of domains (prediction markets, company data, fact-checking, etc.) but has notable gaps (e.g., limited entity types for company/drug only). Redundancy in some areas makes the set feel bloated rather than complete.

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