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YIELD INTELLIGENCE MCP — Passive Income Analysis

Analyze passive income opportunities using live US Treasury rates, an AI-powered yield optimizer, and portfolio return calculator — no auth, no install, connect by URL

by thebrierfox·added 2026-05-26·
Claude CodeCursorClaude Desktop
HarnessClaude CodeCursorClaude Desktop
Review first — review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Canonical URL
https://heyclau.de/entry/mcp/yield-intelligence-mcp
Source URLs
https://github.com/thebrierfox/intuitek-ace
Safety notes
Remote server: all analysis requests are sent to api.intuitek.ai over HTTPS. No local file access or system permissions required.
Privacy notes
Analysis inputs (portfolio amounts, target yields) are sent to the remote endpoint. No personally identifiable data is required or stored.
Author
thebrierfox
Submitted by
thebrierfox
Claim status
unclaimed
Last verified
2026-05-26

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

78

Baseline

—

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Complete

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done

  • Source provenance statusRequired

    Marked as source-backed.

    Done

  • Metadata reviewed

    Registry metadata indicates a reviewed listing.

    Done

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done

  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done

  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done

  • Package verification flag

    No package verification flag provided.

    Pending

  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending

  • Baseline comparison available

    No baseline peer selected yet.

    Pending

  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

30 seconds

Install command

Provided

Config snippet

Provided

Copy snippet

Provided

Prerequisites

3 to clear

Platforms

3 listed

Difficulty

0/100

Adoption plan

Balanced adoption plan

Current risk score 16/100. Use staged verification before broader rollout.

Risk 16

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done

  • Confirm metadata review state

    Listing has review metadata.

    Done

  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done

  • Review privacy notesRequired

    Privacy notes are present.

    Done

  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending

  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending

  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Required evidence gates are covered (5/6 signals complete).

Risk 15

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Present

Review metadata is present.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required evidence gates are covered for this preset.

Decision timeline

Decision timeline · balanced

5/6 steps complete with no blocking gaps for this preset.

Risk 14

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is available.

Done

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

No required blockers for this timeline preset.

Prerequisite readiness

Prerequisite readiness

3 prerequisites to line up before setup. Have accounts and credentials ready first.

0/3 ready
Account & credentials1Install & runtime1Network & hosting130 seconds

Safety & privacy surface

Safety & privacy surface

1 safety and 1 privacy notes across 2 risk areas. Review closely: permissions & scopes, network access.

2 areas
  • SafetyPermissions & scopesRemote server: all analysis requests are sent to api.intuitek.ai over HTTPS. No local file access or system permissions required.
  • PrivacyNetwork accessAnalysis inputs (portfolio amounts, target yields) are sent to the remote endpoint. No personally identifiable data is required or stored.

Safety notes

  • Remote server: all analysis requests are sent to api.intuitek.ai over HTTPS. No local file access or system permissions required.

Privacy notes

  • Analysis inputs (portfolio amounts, target yields) are sent to the remote endpoint. No personally identifiable data is required or stored.

Prerequisites

  • No API key required — server is open and requires no authentication
  • Remote server — connect directly by URL, no local install or Node.js required
  • Claude Desktop 0.7.0+ or Claude Code with MCP SSE transport support

Schema details

Install type
cli
Reading time
1 min
Difficulty score
0
Troubleshooting
No
Breaking changes
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
30 seconds
Difficulty
beginner
Full copyable content
{
  "mcpServers": {
    "yield-intelligence": {
      "url": "https://api.intuitek.ai/yield/mcp",
      "transport": "sse"
    }
  }
}

About this resource

Analyze passive income opportunities and optimize your yield strategy using live US Treasury rates, an AI-powered income optimizer, and a portfolio return calculator.

Server Details

YIELD INTELLIGENCE is a remote MCP server that gives Claude direct access to live US Treasury yield data and AI-powered passive income analysis. No local installation required — add it by URL and start optimizing immediately.

Features

  • Live US Treasury rates (4-week through 30-year) fetched in real time
  • AI-powered passive income opportunity analysis across asset classes
  • Portfolio yield calculator with projected annual return estimates
  • Income optimization recommendations tailored to target yield and risk tolerance
  • Zero authentication required — open endpoint, no API key needed
  • Remote SSE transport — connect by URL from any Claude client

Use Cases

  • Identify the best Treasury bills, notes, or bonds for current yield goals
  • Compare passive income options across fixed income, dividend, and alternative assets
  • Calculate projected returns for a given portfolio allocation
  • Get AI-ranked income strategy recommendations by safety and yield
  • Research how rising or falling rates affect portfolio income

Installation

Claude Code

claude mcp add --transport sse yield-intelligence https://api.intuitek.ai/yield/mcp
claude mcp list

Claude Desktop

Open your Claude Desktop configuration file and add:

{
  "mcpServers": {
    "yield-intelligence": {
      "url": "https://api.intuitek.ai/yield/mcp",
      "transport": "sse"
    }
  }
}

Restart Claude Desktop after saving.

Configuration

{
  "mcpServers": {
    "yield-intelligence": {
      "url": "https://api.intuitek.ai/yield/mcp",
      "transport": "sse"
    }
  }
}

Tools

Tool Description
analyze_yield_opportunities Analyzes current passive income options using live Treasury rates and AI recommendations
optimize_income_portfolio Calculates projected returns and optimizes allocation for a target yield

Examples

Analyze current passive income opportunities

Ask Claude: "What are the best passive income opportunities right now given current rates?"

Optimize a portfolio for 5% annual yield

Ask Claude: "I have $50,000 to invest. Optimize my portfolio for a 5% annual yield with low risk."

Compare Treasury bill options

Ask Claude: "Compare current 4-week, 13-week, and 26-week Treasury bill rates and tell me which offers the best risk-adjusted yield."

Calculate projected income from a diversified allocation

Ask Claude: "Calculate projected annual income from a portfolio: 40% 2-year Treasury, 30% dividend stocks at 3.5%, 30% high-yield savings at 4.8%."
#finance#yield#passive-income#treasury#portfolio#investment#remote-mcp

Source citations

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[![Listed on HeyClaude](https://heyclau.de/badge/mcp/yield-intelligence-mcp.svg)](https://heyclau.de/entry/mcp/yield-intelligence-mcp)

How it compares

YIELD INTELLIGENCE MCP — Passive Income Analysis side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

2 trust signals differ across this comparison (Source provenance, Submitter).

Field
YIELD INTELLIGENCE MCP — Passive Income Analysis

Analyze passive income opportunities using live US Treasury rates, an AI-powered yield optimizer, and portfolio return calculator — no auth, no install, connect by URL

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Remote MCP server for analyzing, searching, retrieving, and auditing code from public Git repositories without cloning them into the local workspace.

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AutoRFP.ai MCP Server for Claude

Official AutoRFP.ai remote MCP server for read-only access to RFP projects, requirements, approved content library search, and organisation tags from Claude and other MCP clients via OAuth.

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Auxen MCP Server for Claude

Official Auxen.ai remote MCP server for listing GPU models and instances, checking account balance, and provisioning or destroying inference instances from Claude via OAuth 2.1 or API keys.

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Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceDiffersSource-backedSource-backedSubmission linkedSource submissionSubmission linkedSource submission
SubmitterDiffersthebrierfoxoktofeesh1kiannidevkiannidev
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
Brand—searchcode.com logosearchcode.com——
Categorymcpmcpmcpmcp
Sourcesource-backedsource-backedsource-backedsource-backed
Authorthebrierfoxsearchcode.comAutoRFP.aiAuxen AI
Added2026-05-262026-06-062026-06-142026-06-14
Platforms
Claude CodeCursorClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Source repo————
Safety notes✓Remote server: all analysis requests are sent to api.intuitek.ai over HTTPS. No local file access or system permissions required.✓Searchcode analyzes public repositories through a hosted remote service; do not point it at private repository URLs unless you have a private/enterprise arrangement and have reviewed the current access controls. The service can return code snippets, file contents, symbols, file trees, static-analysis findings, and credential-scan findings from public repositories. Treat tool results as machine-assisted code intelligence. Confirm security findings, complexity claims, and dependency conclusions against the repository before making merge, hiring, acquisition, or incident decisions. Large or repeated repository analysis can create automated traffic to Searchcode; keep agent loops bounded and avoid broad unattended scans.✓The connection is read-only; it cannot create, edit, or delete AutoRFP.ai records. Each user inherits their own AutoRFP.ai permissions, so MCP results reflect that user's normal app access. OAuth tokens grant persistent read access until revoked in AutoRFP.ai or the MCP client. Do not share OAuth-approved connector sessions across users or paste access tokens into public issues.✓provision_model creates billable GPU instances; confirm model, region, and cost before approving tool calls. destroy_instance permanently removes running instances and cannot be undone through MCP. API keys prefixed auxen_live_* operate on production resources; use auxen_test_* keys in development. OAuth tokens grant persistent account access until revoked in Auxen or the MCP client.
Privacy notes✓Analysis inputs (portfolio amounts, target yields) are sent to the remote endpoint. No personally identifiable data is required or stored.✓Prompts and tool inputs can reveal which public repositories, symbols, files, dependencies, security concerns, or candidate portfolios a team is investigating. Returned code snippets, findings, file paths, and repository metadata become part of the MCP client transcript and may be processed by the connected model provider. Public code can still contain secrets, personal data, proprietary code accidentally committed upstream, or prompt-injection text. Review returned snippets before forwarding them into other tools or reports. Searchcode's public page says the hosted MCP server is free during beta and does not require signup or an API key; review the live site before production use because pricing and private-code options may change.✓MCP tool results can expose RFP project names, requirement text, approved answer content, and organisation tag vocabulary. Search queries sent to the content library are processed by AutoRFP.ai under its own data-handling terms. Public support notes should describe connector scope, not full requirement or library excerpts.✓MCP tool results can expose account balance, instance IDs, model names, and deployment metadata. Provisioning requests are processed by Auxen.ai under its own data-handling and billing terms. Do not paste live API keys or OAuth tokens into public issues or shared chat logs.
Prerequisites
  • No API key required — server is open and requires no authentication
  • Remote server — connect directly by URL, no local install or Node.js required
  • Claude Desktop 0.7.0+ or Claude Code with MCP SSE transport support
  • MCP client with remote Streamable HTTP support, or `mcp-remote` for clients that still need a stdio bridge.
  • Public Git repository URLs or `owner/repo` names for the repositories Claude should inspect.
  • Team agreement that public repository metadata, code snippets, file paths, and static-analysis results may be sent through a hosted third-party MCP service.
  • Client-side policy for whether model-generated findings should be treated as triage hints or reviewed security results.
  • AutoRFP.ai account with access to the projects and content library you want to query.
  • Claude Pro, Team, or Enterprise plan with Connectors support, or another MCP client with custom remote connectors.
  • Claude organisation admin for the one-time org connector setup in Claude Team/Enterprise environments.
  • Knowledge of your AutoRFP.ai data residency region (APAC, EU, or US) to select the correct MCP endpoint.
  • Auxen.ai account with billing enabled for production instance provisioning.
  • Claude Pro, Team, or Enterprise with Connectors support, or another MCP client with remote HTTP connectors.
  • OAuth 2.1 + PKCE flow support in your MCP client, or an Auxen API key prefixed with auxen_live_ or auxen_test_.
  • Understanding that provision_model and destroy_instance are destructive and may incur GPU charges.
Install
claude mcp add --transport sse yield-intelligence https://api.intuitek.ai/yield/mcp && claude mcp list
claude mcp add searchcode --transport http https://api.searchcode.com/v1/mcp
claude mcp add --transport http autorfp https://api.autorfp.ai/mcp
claude mcp add --transport http auxen https://api.auxen.ai/mcp
Config
{
  "mcpServers": {
    "yield-intelligence": {
      "url": "https://api.intuitek.ai/yield/mcp",
      "type": "sse"
    }
  }
}
{
  "mcpServers": {
    "searchcode": {
      "url": "https://api.searchcode.com/v1/mcp"
    }
  }
}
{
  "mcpServers": {
    "autorfp": {
      "url": "https://api.us.autorfp.ai/mcp",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "auxen": {
      "url": "https://api.auxen.ai/mcp",
      "type": "http",
      "headers": {
        "Authorization": "Bearer auxen_live_YOUR_KEY"
      }
    }
  }
}
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