gc_mcp
Related Servers
Alternatives to gc_mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceProvides utilities to help maintain MCP repositories, including testing tools, parameter type support, and multiple transports (STDIO, SSE, Streamable HTTP).5 npm9MIT
- AlicenseNot gradedqualityAmaintenanceExposes all CLI commands as MCP tools over stdio or HTTP transport.16 npmApache 2.0
- FlicenseNot gradedqualityBmaintenanceProvides MCP tools to interact with GoHighLevel CRM data, including contacts, conversations, call transcripts, broker lead overviews, pipelines/opportunities, and task creation. Supports both stdio and HTTP transports for local and remote use.-
- FlicenseNot gradedqualityCmaintenanceProvides MCP tools for retrieving customer records and processing refunds, with strict input validation, proper JSON-RPC error mapping, and enforced stdout protocol isolation.5 npm-
- FlicenseAqualityCmaintenanceEnables exposing custom tools such as dice rolling and integer addition as MCP servers over stdio and HTTP transports.2-
- FlicenseAqualityDmaintenanceMCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.15-
TDQS
Scored across 63 tools
There is heavy overlap between many tools: gc_conversation, gc_agent_conversation, gc_aden, gc_peer_conversation, and gc_peer all provide nearly identical spawn/turn/get/list/delete chat sessions — an agent could easily misselect among them. gc_docs and gc_recall both search knowledge; gc_project_status is literally an alias for gc_ticker/get; gc_peer is a legacy alias for gc_peer_conversation. Several tools (gc_workflow vs gc_workflow_watch vs gc_tool_call) also blur boundaries.
Most tools follow the gc_* prefix with snake_case, which provides surface consistency. However, the action-based dispatch convention means many tool names don't embed the verb; instead each gc_ tool takes an 'action' parameter (list, create, get, etc.), so the naming is more resource-oriented than verb_noun. There are also clear outliers like davinci_resolve, devonthink, gh_issues, and gh_issue_view which break the gc_ prefix pattern, and legacy aliases (gc_peer, gc_project_status) that don't follow the primary naming scheme.
At 63 tools this is far beyond the well-scoped range and will create significant selection burden and confusion for agents. Many tools cover adjacent concerns that could be consolidated (six conversation/chat tools, multiple alias tools, schedule vs dispatch vs workflow overlapping). The count reflects a sprawling monolithic daemon rather than a focused server purpose, making it very heavy for any agent to navigate.
The server covers an extraordinarily broad domain spanning memory, workflows, scheduling, dispatch, finances, publishing, project management, and even video editing — yet gaps exist within each sub-area (e.g., only one gh_issue_view tool among several gh_issue_* tools, no gh PR coverage despite gh_issue_view). Some sub-domains feel complete (workflows have full CRUD+ops) while others are fragmented. The scope itself makes 'complete' coverage nearly impossible.