mcpbeat

GrantIQ MCP Server

uk.co.grantiq/mcp
answering

GrantIQ is answering right now. Last checked 5 min ago. It exposes 6 tools. Last commit 11 Jul 2026.

Eligibility-first UK & EU grant discovery, inside ChatGPT and Claude.

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
6
Tools
read from the server
133 ms
Response time
average over 24h
0
Stars
last commit 11 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add mcp --transport http https://grantiq.co.uk/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://grantiq.co.uk/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://grantiq.co.uk/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://grantiq.co.uk/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://grantiq.co.uk/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

complete
complete_profile
GrantIQ complete_profile: fills in the user's matching profile field-by-field via chat. Partial-update semantics — null/missing fields leave existing values untouched. Server filters beneficiary/mission tags to canonical taxonomies. After this returns saved=true, call find_opportunities to see matches.
explain
explain_opportunity
GrantIQ explain_opportunity: plain-English unpack of a single grant. Returns a summary, what the grant funds, target applicant profile, hidden constraints (e.g. state aid, consortium requirements), application mechanics (stages, duration, key dates), structured eligibility essentials, and provenance citations. Cached after first call per grant; sub-50ms thereafter.
fetch
fetch
GrantIQ fetch: return the full record for a single grant by id. The id must come from a prior `search` call. Returns 'not found' when the grant is unknown OR not currently open/visible — there is no leak between those cases.
opportunities
find_opportunities
GrantIQ find_opportunities: runs the user's profile through the AI matching engine to find the top grants. Uses the canonical StagedMatchingService. Requires a complete profile (Location, OrgType, etc.).
search
search
GrantIQ search: find UK & EU grants matching a free-text query. Returns a ranked list of grant references (id, title, funder, deadline, amounts) the caller can pass to the `fetch` tool for full detail. Results are limited to currently-open, AI-enriched grants — closed, suspended and unpublishable rows are never returned.
should
should_apply
GrantIQ should_apply: opinionated apply / don't-apply decision for a specific grant. Returns a verdict (yes / borderline / no), confidence (0-1), specific blockers, an effort estimate with confidence band, competition-risk label (or 'unknown' when funder data is absent), and the structured evidence behind it. Requires the caller's profile to be set via a prior find_opportunities call or web sign-up.

Endpoints

URLTransportStateLatencyChecked
https://grantiq.co.uk/mcp streamable-http answering 135 ms 5 min ago

GrantIQ — questions

Answers built from our own checks of this server.

What can GrantIQ do?
It exposes 6 tools, read directly from the server on our last check. Among them: complete_profile, explain_opportunity, fetch, find_opportunities, search, should_apply. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is GrantIQ working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 133 ms. The bar chart above shows every period we have measured.
How do I connect GrantIQ?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does GrantIQ need an API key?
No. GrantIQ completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is GrantIQ?
It answers our handshake in 133 ms on average, which is faster than 77% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is GrantIQ open source?
Yes — 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.