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Vox Pop MCP server exists for a simple reason — assistants are far more useful when they can act on Vox Pop directly instead of describing what you should do. .
Once Vox Pop is connected, these are the calls the assistant has available:
Query — Routes tosearch_opinions — Search all platforms for opinions on a topicsearch_opinions_perspective — Then vs Now — historical + recent opinions side by sideget_thread_opinions — Dive into a specific thread's commentslist_available_platforms — Check what's available and healthyVersion — Statusv0.1 — Shippedv0.2 — Currentv0.3 — Nextv0.4 — Plannedv1.0 — PlannedCredentials — Zero stored. Optional LLM keys passed via env vars at runtime, never written to diskYou will need 3 environment variables: ANTHROPIC_API_KEY, OPENAI_API_KEY, OLLAMA_HOST. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Installation goes through your MCP client rather than a global install: point it at vox-pop on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Vox Pop's toolset — Query, search_opinions, search_opinions_perspective and 11 more — is a fair guide to whether it matches your workflow. It is maintained by mushfique-dgist; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Query | Routes to |
| search_opinions | Search all platforms for opinions on a topic |
| search_opinions_perspective | **Then vs Now** — historical + recent opinions side by side |
| get_thread_opinions | Dive into a specific thread's comments |
| list_available_platforms | Check what's available and healthy |
| Version | Status |
| v0.1 | Shipped |
| v0.2 | **Current** |
| v0.3 | Next |
| v0.4 | Planned |
| v1.0 | Planned |
| Credentials | Zero stored. Optional LLM keys passed via env vars at runtime, never written to disk. |
| User-Agent | Transparent: vox-pop/0.2 in all requests. |
| Caching | API responses (7 days) and embeddings cached locally at ~/.cache/vox-pop/. No data sent to third parties. Embeddings stored as JSON, no serialization dependencies. |
{
"mcpServers": {
"vox-pop": {
"command": "python",
"args": ["-m", "vox_pop.server"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| OLLAMA_HOST | Endpoint or connection string the server talks to. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.