swarm-mcp
Related Servers
Alternatives to swarm-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceFoursquare Places MCP server enabling AI agents to search and retrieve venue data via the 2025 Places API through the Pipeworx gateway.168 npmMIT
- AlicenseNot gradedqualityDmaintenanceUnofficial MCP server that bridges AI assistants with Bee wearable lifelogging data, enabling retrieval and management of conversations, facts, todos, and locations.49MIT

PinMeTo Location MCPofficial
AlicenseAqualityAmaintenanceAn MCP server that connects your PinMeTo locations to AI assistants, enabling natural language queries for insights from Google, Facebook, and Apple Maps.1215MIT- AlicenseAqualityBmaintenanceMCP server for querying your local Google Takeout activity (Search/YouTube history) via SQLite/FTS5. Provides tools for keyword search, activity stats, and database info, enabling AI assistants to cite your personal history.3MIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that integrates AI assistants with the Flickr API, enabling management of photos, albums, groups, and contacts via natural language commands.1-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that interfaces with the Rewind.ai SQLite database to provide access to audio transcripts, screen OCR data, and activity tracking. It enables AI models to search personal memory, retrieve past conversations, and analyze application usage history.19-
TDQS
Scored across 11 tools
Each tool has a clearly distinct purpose: get_all_checkins vs get_checkins differ in pagination cost, get_checkins_by_date_range vs get_recent_checkins target different time ranges, and others cover categories, stats, venues, and server info. Descriptions explicitly clarify overlaps.
All tool names follow a consistent get_verb_noun pattern in snake_case (e.g., get_all_checkins, get_categories, get_checkin_stats). No mixing of naming conventions, making it easy to infer function.
With 11 tools, the server covers all major retrieval needs for check-in history and venue data without being bloated. The count is well-scoped for a focused analytics domain.
The server provides comprehensive read access: full history, filtered, stats, categories, top venues, and venue details. Missing write/update tools aligns with use case. A minor gap is no direct tool to list check-ins for a specific venue, but search_checkins can approximate this.