callsense-mcp
Related Servers
Alternatives to callsense-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables collection and scoring of sales chat conversations via CDP, computing response times and generating evidence-linked LLM quality reviews.-
- AlicenseNot gradedqualityCmaintenanceEnables Claude Code to score its tool-calling transcripts for hallucinated action claims, unsafe edit ordering, redundant tool-call loops, and pass@k across repeated attempts at a task.MIT
- AlicenseNot gradedqualityBmaintenanceEnables analyzing call transcripts, scoring dimensions against declarative rubrics, and listing rubrics, for evidence-backed conversation evaluation.MIT
- FlicenseNot gradedqualityBmaintenanceEnables autonomous agents to score customer leads and evaluate interaction velocity to predict conversions, exposing deterministic, zero-dependency evaluation as an MCP tool. Integrates with MCP clients like Claude Desktop and Cursor for programmatic lead assessment.8-
- AlicenseNot gradedqualityNot gradedmaintenanceEnables intelligent conversation management with 4 AI agents that provide semantic analysis, pattern discovery, automatic documentation, and relationship mapping. Logs and analyzes Claude conversations with 70% token optimization and multi-language support.2-
- AlicenseAqualityDmaintenanceEnables prompt optimization loops and regression test suites for Claude Code, with a companion web UI for real-time visualization of scores and prompt revisions.19MIT
TDQS
Scored across 8 tools
Most tools have clearly distinct purposes (list_calls vs get_call vs team_report vs run_eval). The only real overlap is submit_scores vs score_call, but the descriptions explicitly distinguish the human-in-the-loop vs automated path and recommend one, which resolves most confusion.
All names use snake_case and are readable. A few are noun phrases (deal_card_note, team_report) rather than verb_noun, a minor deviation from the otherwise consistent verb_noun pattern.
Eight tools is well-scoped for a call-scoring/QA domain, covering retrieval, scoring, reporting, and evaluation without redundancy.
The read/score/report/eval lifecycle is covered, but rule management is a gap: run_eval can test a draft rules_yaml yet there is no tool to create, save, or version a rule set, and no delete/unscore or call-ingestion operation is exposed.