DeepInquiry Verified Facts MCP Server
ai.deepinquiry/verified-factsv1.0.0
Search and read short factual claims with cited sources, a verification tier and a signature.
context tax
~309 tok/turn3 tools
security
100/100
cold start
hosted
freshness
Active4d ago
Our reading of DeepInquiry Verified Facts, from the data
DeepInquiry Verified Facts is an MCP server, listed in the official MCP Registry.
Its 3 tools add about 309 tokens to every model turn (measured 2026-10-19).
Maintenance is active: the last public signal was 4 days ago (2026-10-15).
It runs as a hosted endpoint, so there is nothing to install.
Install DeepInquiry Verified Facts MCP server
Install in Claude Code
claude mcp add --transport http verified-facts https://www.deepinquiry.ai/mcpInstall in Cursor
{
"mcpServers": {
"verified-facts": {
"url": "https://www.deepinquiry.ai/mcp"
}
}
}Install in Claude Desktop
{
"mcpServers": {
"verified-facts": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://www.deepinquiry.ai/mcp"
]
}
}
}Or add it as a custom connector under Settings → Connectors. The config above bridges via mcp-remote.
Install in VS Code
{
"servers": {
"verified-facts": {
"type": "http",
"url": "https://www.deepinquiry.ai/mcp"
}
}
}Install in Windsurf
{
"mcpServers": {
"verified-facts": {
"serverUrl": "https://www.deepinquiry.ai/mcp"
}
}
}Remote endpoints
- streamable-http
https://www.deepinquiry.ai/mcp
Context tax
Connecting this server adds ~309 tokens of tool definitions to every model turn (lean, 3 tools). Measured 2026-10-19 via its hosted endpoint; o200k tokenizer, worst case for clients that load all tools up front. How we measure
| Model | Per 1,000 turns | With prompt caching |
|---|---|---|
| Claude Opus 5.5 | $1.24 | $0.062 |
| Claude Sonnet 5.5 | $0.618 | $0.062 |
| Claude Haiku 5.5 | $0.031 | — |
Input prices as of 2026-10-06. Excludes your own prompt and output.
Tools (3)
search_facts151 tokSemantic search over DeepInquiry verified facts. Returns the closest facts with their sources, tier, score and signature.
get_fact58 tokFetch one fact by its numeric id, with its source groups.
random_fact30 tokFetch one random approved fact.
Security signals
100/100 — no known issues found as of 2026-10-19, from the checks below. This is not a guarantee of safety; review what a server can do before connecting it.
Deductions
No findings from the checks that ran.
Checks
- ✓Tool descriptions (prompt-injection and hidden-text heuristics)
- ○Repository hygiene (archived, activity, license, security policy) — pending
- ○Package metadata (install scripts, provenance) — pending
- ○Source scan (secrets, CVEs, risky code) by vectra-guard — pending
Scan it yourself before installing with vectra-guard, the open-source agent security CLI. Scoring rules
Freshness
Active — last maintenance signal 4d ago. The newest of the signals below sets the band.
Last commit (default branch)
no data · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-10-15 · 4d ago · official registry · v1.0.0
FAQ
›How do I install the DeepInquiry Verified Facts MCP server in Claude Code?
Run: claude mcp add --transport http verified-facts https://www.deepinquiry.ai/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does DeepInquiry Verified Facts require an API key?
No required environment variables are declared in its published metadata.
›Can I use DeepInquiry Verified Facts as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is DeepInquiry Verified Facts in the official MCP registry?
Yes, as ai.deepinquiry/verified-facts.
›How many tokens does DeepInquiry Verified Facts add to my context?
Its tool definitions total about 309 tokens, resent on every turn.
Sources and method
- Official MCP Registry entry
- updated 2026-10-15
- Tool list (tools/list), measured by us
- 2026-10-19
- Security signals, computed by us
- 2026-10-19
- Last checked against all sources
- 2026-10-19
The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Editorial standards are owned by Ramachandra Vikas Chamarthi, Founder & AI HPC Architect. Spot an error? Request a correction or claim the listing.