Standard Vocal MCP vs Cognigy AI MCP Manage… | AllMCPs
Side-by-Side Model Context Protocol Comparison
Standard Vocal MCP vs Cognigy AI MCP Management Server
In-depth architectural comparison of the Standard Vocal MCP and Cognigy AI MCP Management Server MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Standard Vocal MCP
Conversational AI · Local stdio
Quality: 53/100 (Good) | Auth: No auth required
Cognigy AI MCP Management Server
Conversational AI · Local stdio
Quality: 59/100 (Good) | Auth: API Key required
Verdict Summary: Choose Standard Vocal MCP if you need specialized Conversational AI tools running via a local process. Choose Cognigy AI MCP Management Server if your workspace requires Conversational AI integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Standard Vocal MCP when:
You need dedicated capabilities in the Conversational AI domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Voice Agent Factory for Vapi phone agents: vertical templates, self-testing agents, audio forensics, prompt versioning, and CI regression gates. npx -y standard-vocal-mcp
Management and automation server for the Cognigy.AI conversational AI platform, exposing 132 tools across flows, agents, snapshots, NLU, functions, and deployment. Published to the official MCP Registry. npx mcp-cognigy
Lists the assistants on the account (id, name, model, voice, transcriber) — the entry point to find an `assistantId`.
deploy_agent
One tool = one full vertical deployment. `deploy_agent(vertical: elagueur\
run_eval
The agent tests itself.** Fetches the live system prompt, simulates N scripted scenarios against the configured LLM, scores behavior (close speed, no price quoting, spelled digit confirmation, urgency priority, solicitation refusal), returns a `/100` grade with PASS / WARN / FAIL. No audio, no bill…
audio_forensics
Downloads the 3 recording tracks of a call (mono / customer / assistant), runs RMS-per-window analysis, and **locates the noise source**. Automates the exact manual investigation that found a "computer noise" issue was injected downstream of the caller's mic, not in Vapi.
prompt_diff
Prompts as code. `snapshot` captures the live prompt into local history, `diff` compares two versions, `rollback` pushes an old prompt back to Vapi.
regression_gate
CI for prompts.** Runs `run_eval` and blocks the update if the score regressed vs the stored baseline. Returns allow/deny with the reason.
Cognigy AI MCP Management Server Tools (2)
limit
skip
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Standard Vocal MCP is categorized under Conversational AI and uses a local stdio subprocess. In contrast, Cognigy AI MCP Management Server belongs to Conversational AI using local stdio subprocess. Select Standard Vocal MCP when you need capabilities focused on conversational ai and Cognigy AI MCP Management Server when you require tools for conversational ai.
