Launchdarkly
Server Details
LaunchDarkly MCP Pack — wraps the LaunchDarkly REST API v2
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- Status
- Unhealthy
- Uptime
- 0.1% over 37 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-launchdarkly
- GitHub Stars
- 0
- Server Listing
- LaunchDarkly MCP
TDQS
Scored across 45 tools
The set contains several near-duplicate clusters: ask_pipeworx vs ask_pipeworx_beta vs ask_pipeworx_grounded vs deep_research, the five polymarket_* trading tools, and remember/recall/forget. The descriptions are unusually explicit about routing and when to prefer which, which rescues many boundaries, but an agent still faces heavy overlap and version-variant tools that do almost the same thing.
Nearly everything is snake_case verb_noun (entity_profile, compare_entities, resolve_entity, subscribe, validate_claim), which is predictable. Minor deviations exist, such as the ld_ prefix on the four LaunchDarkly tools and noun-first meta names (pipeworx_feedback, polymarket_edges), but overall the conventions are readable and consistent.
45 tools is far beyond the typical well-scoped 3-15 range, and for a server named 'Launchdarkly' the count is wildly disproportionate to the four ld_* tools that actually match the name. The surface reads like an entire multi-domain data gateway, not a coherent LaunchDarkly toolset, so many tools feel like unrelated acquisitions rather than earned members of one set.
Judged against the stated domain (LaunchDarkly feature-flag management), the surface is severely incomplete: there is read access (ld_list_projects/environments/flags, ld_get_flag) but no create, update, toggle, or delete flag operations. The surrounding mass of finance/market/archive tools does not fill that gap, leaving the named domain with obvious dead ends for mutation workflows.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
45 tool updates
- First observed
ai_visibility_check - First observed
archive_compare - First observed
archive_evidence - First observed
ask_pipeworx - First observed
ask_pipeworx_beta - First observed
ask_pipeworx_grounded - First observed
bet_research - First observed
classify_row - First observed
company_facts - First observed
company_register_search - First observed
compare_entities - First observed
deep_research - First observed
discover_tools - First observed
entity_profile - First observed
forget - First observed
generate_llms_txt - First observed
kalshi_weather_edge - First observed
ld_get_flag - First observed
ld_list_environments - First observed
ld_list_flags - First observed
ld_list_projects - First observed
list_subscriptions - First observed
pipeworx_feedback - First observed
pipeworx_trending - First observed
polymarket_arbitrage - First observed
polymarket_edge_tracker - First observed
polymarket_edges - First observed
polymarket_fill_risk - First observed
polymarket_kalshi_spread - First observed
recall - First observed
recent_alerts - First observed
recent_changes - First observed
release_calendar_markets - First observed
remember - First observed
research_row - First observed
resolution_audit - First observed
resolution_diff - First observed
resolve_entity - First observed
scan_competitor_ai_presence - First observed
scan_dependency - First observed
search_within - First observed
subscribe - First observed
suggest_questions - First observed
unsubscribe - First observed
validate_claim
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- AlicenseNot gradedqualityBmaintenanceEnables interaction with LaunchDarkly's feature flag platform through AI clients. Supports managing feature flags, AI configs, and their variations with operations like create, update, delete, and targeting configuration.39,473 npm27MIT
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- AlicenseNot gradedqualityDmaintenanceAn MCP server that lets AI assistants manage LaunchDarkly feature flags via natural language.MIT
- AlicenseNot gradedqualityCmaintenanceEnables users to list and toggle feature flags, retrieve rollout status, and generate project-level feature-flag strategy reports through MCP tools.MIT
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