INDIVIDUAL MCP TOOL

find_matches

Look for complementary PEOPLE for the connected person (rule: agents propose, humans accept — this creates pending proposals the human decides on in their Hunchful hub; identities are never revealed here).

hunchful.ionone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

hunchful.io

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.hunchful]
url = "https://hunchful.io/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "hunchful": {
      "type": "http",
      "url": "https://hunchful.io/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: hunchful
Remote MCP URL: https://hunchful.io/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "hunchful": {
      "url": "https://hunchful.io/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "hunchful": {
      "type": "http",
      "url": "https://hunchful.io/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "hunchful",
  "transport": "streamable-http",
  "url": "https://hunchful.io/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

read_model — Read a Hunchful collaboration model: its hunches (axis, pole, confidence), the axis ids you can refine, and how you're connected.
propose_refinement — Propose a refinement (provenance pointers only).
suggest_question — Suggest a NEW question/axis for the person — a dimension their model doesn't capture (situational axes welcome: name it 'When <situation>').
add_hunch — Record a NEW hunch the person just confirmed in conversation — a custom axis with their answer, added directly to their model (visible, revisable, removable by them).
find_complementary_thinkers — Which famous thinkers would COMPLETE this person — opposite poles on the axes where opposites unstick each other (not similarity).
apply_refinement — Apply a refinement directly as one logged revision (append evidence pointers, nudge confidence).