voygr-mcp

voygr-mcp

MCP server for VOYGR place verification and outbound venue calls. It provides tools to verify places, make structured calls, check credits, and access call transcripts/events.

Category
Visit Server

README

voygr-mcp

MCP server for VOYGR place verification and outbound venue calls. Proper stdio MCP: tools, resources, prompts, progress notifications, and elicitation.

Demo Video

Install

cd voygr-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

Requires a VOYGR API key at process start:

export VOYGR_API_KEY=your_key
# or: voygr login your_key

Dry-run (default)

VOYGR_DRY_RUN defaults to 1. Calls only are mocked (magic numbers, scripted events, canned transcripts). verify_place / verify_places / check_credits always hit the live VOYGR API via the official voygr Python client.

Magic number Outcome
+1-555-0100 success_booked
+1-555-0101 failed_voicemail
+1-555-0102 mid-call ask_user then success_booked
+1-555-0103 failed_short_hangup
+1-555-0104 409 concurrency cap
+1-555-0105 402 insufficient credits

Live dialing:

export VOYGR_DRY_RUN=0
docker compose up -d redis   # call state / event cursors
export VOYGR_REDIS_URL=redis://localhost:6379/0
voygr-mcp

Claude Desktop (stdio)

  1. Put VOYGR_API_KEY=... in the project .env (loaded automatically; Claude’s cwd does not matter).
  2. Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) and merge:
{
  "mcpServers": {
    "voygr": {
      "command": "/Users/vaarunsinha/voygr-mcp/scripts/claude-desktop-mcp.sh",
      "env": {
        "VOYGR_DRY_RUN": "1"
      }
    }
  }
}
  1. Fully quit and reopen Claude Desktop. Confirm under + → Connectors (or Developer settings) that voygr is connected and tools like verify_place appear.

Or point command at .venv/bin/voygr-mcp directly — the server also loads the package-root .env on start.

Tools

Tool Role
verify_place Single POI → agent-safe verdict (not raw open/closed)
verify_places Batch + normalized cache
call_place Structured call (inquiry / info_gathering); consent + slots elicited
get_call Resume by call handle
check_credits Usage / credits

Consent is never a tool parameter — it is always an elicitation to the human.

Resources / prompt

  • voygr://call/{id}/transcript — 7-day retention noted in metadata
  • voygr://call/{id}/events
  • Prompt: verify_before_recommending

Honesty (demo / video)

When recording the 60s demo:

  • Refusal arm (verify_places dropping closed/not_found) should be live API.
  • Mid-call handoff segment should be dry-run (+1-555-0102) and labeled on screen.
  • List which segments used dry-run in any public write-up.

Tests

pytest

Tests use ScriptedElicitationProvider (no human). No skip-consent env var ships in the server.

Stack

Python, official mcp SDK (stdio), voygr PyPI client, httpx (calls API), Redis (live call state), Docker Compose, pytest. No FastAPI in v1.

Reference checkout of upstream CLI (not vendored): ../voygr-dev-tools.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured