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Server Details

Launches MCP — wraps Launch Library 2 API (ll.thespacedevs.com, free, no auth)

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

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.

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Tool DescriptionsA

Average 4.4/5 across 35 of 35 tools scored. Lowest: 3.7/5.

Server CoherenceC
Disambiguation2/5

Many tools have overlapping purposes (e.g., ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, suggest_questions all serve querying). Also, polymarket tools and memory management tools are mixed with launch tools, causing confusion.

Naming Consistency2/5

Tool names mix verb_phrase (get_launch), noun_phrase (entity_profile), and adjective_noun (ai_visibility_check) patterns. While all use snake_case, the lack of a consistent prefix or structure makes naming erratic.

Tool Count2/5

35 tools is excessive for a server named 'launches,' which suggests a narrow focus. The actual tool set spans multiple unrelated domains (launches, data querying, prediction markets, memory), making it bloated.

Completeness2/5

For the 'launches' domain, only basic retrieval tools are present (get, search), lacking CRUD for full lifecycle. For the broader query domain, tools are abundant but the grouping is incoherent, resulting in an incomplete surface for any single purpose.

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